I: pbuilder: network access will be disabled during build I: Current time: Thu Dec 5 07:42:14 +14 2024 I: pbuilder-time-stamp: 1733334134 I: Building the build Environment I: extracting base tarball [/var/cache/pbuilder/unstable-reproducible-base.tgz] I: copying local configuration W: --override-config is not set; not updating apt.conf Read the manpage for details. I: mounting /proc filesystem I: mounting /sys filesystem I: creating /{dev,run}/shm I: mounting /dev/pts filesystem I: redirecting /dev/ptmx to /dev/pts/ptmx I: policy-rc.d already exists I: Copying source file I: copying [scoary_1.6.16-10.dsc] I: copying [./scoary_1.6.16.orig.tar.gz] I: copying [./scoary_1.6.16-10.debian.tar.xz] I: Extracting source gpgv: Signature made Mon Dec 2 19:17:53 2024 gpgv: using RSA key 8F91B227C7D6F2B1948C8236793CF67E8F0D11DA gpgv: issuer "emollier@debian.org" gpgv: Can't check signature: No public key dpkg-source: warning: cannot verify inline signature for ./scoary_1.6.16-10.dsc: no acceptable signature found dpkg-source: info: extracting scoary in scoary-1.6.16 dpkg-source: info: unpacking scoary_1.6.16.orig.tar.gz dpkg-source: info: unpacking scoary_1.6.16-10.debian.tar.xz dpkg-source: info: using patch list from debian/patches/series dpkg-source: info: applying python3.11.patch dpkg-source: info: applying scipy-1.12.0.patch dpkg-source: info: applying remove_six.patch dpkg-source: info: applying rm-pkg_resources.patch dpkg-source: info: applying syntax-warnings.patch I: Not using root during the build. I: Installing the build-deps I: user script /srv/workspace/pbuilder/814/tmp/hooks/D01_modify_environment starting debug: Running on virt64z. I: Changing host+domainname to test build reproducibility I: Adding a custom variable just for the fun of it... I: Changing /bin/sh to bash '/bin/sh' -> '/bin/bash' lrwxrwxrwx 1 root root 9 Dec 4 17:42 /bin/sh -> /bin/bash I: Setting pbuilder2's login shell to /bin/bash I: Setting pbuilder2's GECOS to second user,second room,second work-phone,second home-phone,second other I: user script /srv/workspace/pbuilder/814/tmp/hooks/D01_modify_environment finished I: user script /srv/workspace/pbuilder/814/tmp/hooks/D02_print_environment starting I: set BASH=/bin/sh BASHOPTS=checkwinsize:cmdhist:complete_fullquote:extquote:force_fignore:globasciiranges:globskipdots:hostcomplete:interactive_comments:patsub_replacement:progcomp:promptvars:sourcepath BASH_ALIASES=() BASH_ARGC=() BASH_ARGV=() BASH_CMDS=() BASH_LINENO=([0]="12" [1]="0") BASH_LOADABLES_PATH=/usr/local/lib/bash:/usr/lib/bash:/opt/local/lib/bash:/usr/pkg/lib/bash:/opt/pkg/lib/bash:. BASH_SOURCE=([0]="/tmp/hooks/D02_print_environment" [1]="/tmp/hooks/D02_print_environment") BASH_VERSINFO=([0]="5" [1]="2" [2]="32" [3]="1" [4]="release" [5]="arm-unknown-linux-gnueabihf") BASH_VERSION='5.2.32(1)-release' BUILDDIR=/build/reproducible-path BUILDUSERGECOS='second user,second room,second work-phone,second home-phone,second other' BUILDUSERNAME=pbuilder2 BUILD_ARCH=armhf DEBIAN_FRONTEND=noninteractive DEB_BUILD_OPTIONS='buildinfo=+all reproducible=+all parallel=4 ' DIRSTACK=() DISTRIBUTION=unstable EUID=0 FUNCNAME=([0]="Echo" [1]="main") GROUPS=() HOME=/root HOSTNAME=i-capture-the-hostname HOSTTYPE=arm HOST_ARCH=armhf IFS=' ' INVOCATION_ID=c27d692a39374e1aab0bfd2f14485539 LANG=C LANGUAGE=it_CH:it LC_ALL=C MACHTYPE=arm-unknown-linux-gnueabihf MAIL=/var/mail/root OPTERR=1 OPTIND=1 OSTYPE=linux-gnueabihf PATH=/usr/sbin:/usr/bin:/sbin:/bin:/usr/games:/i/capture/the/path PBCURRENTCOMMANDLINEOPERATION=build PBUILDER_OPERATION=build PBUILDER_PKGDATADIR=/usr/share/pbuilder PBUILDER_PKGLIBDIR=/usr/lib/pbuilder PBUILDER_SYSCONFDIR=/etc PIPESTATUS=([0]="0") POSIXLY_CORRECT=y PPID=814 PS4='+ ' PWD=/ SHELL=/bin/bash SHELLOPTS=braceexpand:errexit:hashall:interactive-comments:posix SHLVL=3 SUDO_COMMAND='/usr/bin/timeout -k 24.1h 24h /usr/bin/ionice -c 3 /usr/bin/nice -n 11 /usr/bin/unshare --uts -- /usr/sbin/pbuilder --build --configfile /srv/reproducible-results/rbuild-debian/r-b-build.xs6mrhMQ/pbuilderrc_1k5p --distribution unstable --hookdir /etc/pbuilder/rebuild-hooks --debbuildopts -b --basetgz /var/cache/pbuilder/unstable-reproducible-base.tgz --buildresult /srv/reproducible-results/rbuild-debian/r-b-build.xs6mrhMQ/b2 --logfile b2/build.log scoary_1.6.16-10.dsc' SUDO_GID=110 SUDO_UID=103 SUDO_USER=jenkins TERM=unknown TZ=/usr/share/zoneinfo/Etc/GMT-14 UID=0 USER=root _='I: set' http_proxy=http://10.0.0.15:3142/ I: uname -a Linux i-capture-the-hostname 6.1.0-28-arm64 #1 SMP Debian 6.1.119-1 (2024-11-22) aarch64 GNU/Linux I: ls -l /bin lrwxrwxrwx 1 root root 7 Nov 22 14:40 /bin -> usr/bin I: user script /srv/workspace/pbuilder/814/tmp/hooks/D02_print_environment finished -> Attempting to satisfy build-dependencies -> Creating pbuilder-satisfydepends-dummy package Package: pbuilder-satisfydepends-dummy Version: 0.invalid.0 Architecture: armhf Maintainer: Debian Pbuilder Team Description: Dummy package to satisfy dependencies with aptitude - created by pbuilder This package was created automatically by pbuilder to satisfy the build-dependencies of the package being currently built. Depends: debhelper-compat (= 13), dh-sequence-python3, python3-all, python3-setuptools, python3-scipy, python3-ete3 dpkg-deb: building package 'pbuilder-satisfydepends-dummy' in '/tmp/satisfydepends-aptitude/pbuilder-satisfydepends-dummy.deb'. Selecting previously unselected package pbuilder-satisfydepends-dummy. (Reading database ... 19685 files and directories currently installed.) Preparing to unpack .../pbuilder-satisfydepends-dummy.deb ... Unpacking pbuilder-satisfydepends-dummy (0.invalid.0) ... dpkg: pbuilder-satisfydepends-dummy: dependency problems, but configuring anyway as you requested: pbuilder-satisfydepends-dummy depends on debhelper-compat (= 13); however: Package debhelper-compat is not installed. pbuilder-satisfydepends-dummy depends on dh-sequence-python3; however: Package dh-sequence-python3 is not installed. pbuilder-satisfydepends-dummy depends on python3-all; however: Package python3-all is not installed. pbuilder-satisfydepends-dummy depends on python3-setuptools; however: Package python3-setuptools is not installed. pbuilder-satisfydepends-dummy depends on python3-scipy; however: Package python3-scipy is not installed. pbuilder-satisfydepends-dummy depends on python3-ete3; however: Package python3-ete3 is not installed. Setting up pbuilder-satisfydepends-dummy (0.invalid.0) ... Reading package lists... Building dependency tree... Reading state information... Initializing package states... Writing extended state information... Building tag database... pbuilder-satisfydepends-dummy is already installed at the requested version (0.invalid.0) pbuilder-satisfydepends-dummy is already installed at the requested version (0.invalid.0) The following NEW packages will be installed: autoconf{a} automake{a} autopoint{a} autotools-dev{a} bsdextrautils{a} debhelper{a} dh-autoreconf{a} dh-python{a} dh-strip-nondeterminism{a} dwz{a} file{a} gettext{a} gettext-base{a} groff-base{a} intltool-debian{a} libarchive-zip-perl{a} libblas3{a} libcom-err2{a} libdebhelper-perl{a} libelf1t64{a} libexpat1{a} libfile-stripnondeterminism-perl{a} libgfortran5{a} libgssapi-krb5-2{a} libicu72{a} libk5crypto3{a} libkeyutils1{a} libkrb5-3{a} libkrb5support0{a} liblapack3{a} liblbfgsb0{a} libmagic-mgc{a} libmagic1t64{a} libnsl2{a} libpipeline1{a} libpython3-stdlib{a} libpython3.12-minimal{a} libpython3.12-stdlib{a} libpython3.13-minimal{a} libpython3.13-stdlib{a} libreadline8t64{a} libtirpc-common{a} libtirpc3t64{a} libtool{a} libuchardet0{a} libxml2{a} m4{a} man-db{a} media-types{a} netbase{a} po-debconf{a} python3{a} python3-all{a} python3-autocommand{a} python3-decorator{a} python3-ete3{a} python3-inflect{a} python3-jaraco.context{a} python3-jaraco.functools{a} python3-jaraco.text{a} python3-minimal{a} python3-more-itertools{a} python3-numpy{a} python3-pkg-resources{a} python3-scipy{a} python3-setuptools{a} python3-six{a} python3-typeguard{a} python3-typing-extensions{a} python3-zipp{a} python3.12{a} python3.12-minimal{a} python3.13{a} python3.13-minimal{a} readline-common{a} sensible-utils{a} tzdata{a} The following packages are RECOMMENDED but will NOT be installed: ca-certificates curl krb5-locales libarchive-cpio-perl libltdl-dev libmail-sendmail-perl lynx python3-lxml python3-pil python3-pooch python3-pyqt5.qtopengl python3-pyqt5.qtsvg wget 0 packages upgraded, 77 newly installed, 0 to remove and 0 not upgraded. Need to get 56.1 MB of archives. After unpacking 236 MB will be used. Writing extended state information... Get: 1 http://deb.debian.org/debian unstable/main armhf libpython3.12-minimal armhf 3.12.7-3 [800 kB] Get: 2 http://deb.debian.org/debian unstable/main armhf libexpat1 armhf 2.6.4-1 [83.5 kB] Get: 3 http://deb.debian.org/debian unstable/main armhf python3.12-minimal armhf 3.12.7-3 [1808 kB] Get: 4 http://deb.debian.org/debian unstable/main armhf python3-minimal armhf 3.12.7-1 [26.8 kB] Get: 5 http://deb.debian.org/debian unstable/main armhf media-types all 10.1.0 [26.9 kB] Get: 6 http://deb.debian.org/debian unstable/main armhf netbase all 6.4 [12.8 kB] Get: 7 http://deb.debian.org/debian unstable/main armhf tzdata all 2024b-4 [256 kB] Get: 8 http://deb.debian.org/debian unstable/main armhf libkrb5support0 armhf 1.21.3-3 [30.0 kB] Get: 9 http://deb.debian.org/debian unstable/main armhf libcom-err2 armhf 1.47.2~rc1-2 [22.9 kB] Get: 10 http://deb.debian.org/debian unstable/main armhf libk5crypto3 armhf 1.21.3-3 [75.8 kB] Get: 11 http://deb.debian.org/debian unstable/main armhf libkeyutils1 armhf 1.6.3-4 [8096 B] Get: 12 http://deb.debian.org/debian unstable/main armhf libkrb5-3 armhf 1.21.3-3 [283 kB] Get: 13 http://deb.debian.org/debian unstable/main armhf libgssapi-krb5-2 armhf 1.21.3-3 [114 kB] Get: 14 http://deb.debian.org/debian unstable/main armhf libtirpc-common all 1.3.4+ds-1.3 [10.9 kB] Get: 15 http://deb.debian.org/debian unstable/main armhf libtirpc3t64 armhf 1.3.4+ds-1.3+b1 [71.3 kB] Get: 16 http://deb.debian.org/debian unstable/main armhf libnsl2 armhf 1.3.0-3+b3 [35.0 kB] Get: 17 http://deb.debian.org/debian unstable/main armhf readline-common all 8.2-5 [69.3 kB] Get: 18 http://deb.debian.org/debian unstable/main armhf libreadline8t64 armhf 8.2-5 [146 kB] Get: 19 http://deb.debian.org/debian unstable/main armhf libpython3.12-stdlib armhf 3.12.7-3 [1819 kB] Get: 20 http://deb.debian.org/debian unstable/main armhf python3.12 armhf 3.12.7-3 [671 kB] Get: 21 http://deb.debian.org/debian unstable/main armhf libpython3-stdlib armhf 3.12.7-1 [9712 B] Get: 22 http://deb.debian.org/debian unstable/main armhf python3 armhf 3.12.7-1 [27.8 kB] Get: 23 http://deb.debian.org/debian unstable/main armhf libpython3.13-minimal armhf 3.13.0-2 [843 kB] Get: 24 http://deb.debian.org/debian unstable/main armhf python3.13-minimal armhf 3.13.0-2 [1691 kB] Get: 25 http://deb.debian.org/debian unstable/main armhf sensible-utils all 0.0.24 [24.8 kB] Get: 26 http://deb.debian.org/debian unstable/main armhf libmagic-mgc armhf 1:5.45-3+b1 [314 kB] Get: 27 http://deb.debian.org/debian unstable/main armhf libmagic1t64 armhf 1:5.45-3+b1 [98.5 kB] Get: 28 http://deb.debian.org/debian unstable/main armhf file armhf 1:5.45-3+b1 [42.3 kB] Get: 29 http://deb.debian.org/debian unstable/main armhf gettext-base armhf 0.22.5-2 [195 kB] Get: 30 http://deb.debian.org/debian unstable/main armhf libuchardet0 armhf 0.0.8-1+b2 [65.6 kB] Get: 31 http://deb.debian.org/debian unstable/main armhf groff-base armhf 1.23.0-5 [1091 kB] Get: 32 http://deb.debian.org/debian unstable/main armhf bsdextrautils armhf 2.40.2-11 [83.6 kB] Get: 33 http://deb.debian.org/debian unstable/main armhf libpipeline1 armhf 1.5.8-1 [35.0 kB] Get: 34 http://deb.debian.org/debian unstable/main armhf man-db armhf 2.13.0-1 [1382 kB] Get: 35 http://deb.debian.org/debian unstable/main armhf m4 armhf 1.4.19-4 [264 kB] Get: 36 http://deb.debian.org/debian unstable/main armhf autoconf all 2.72-3 [493 kB] Get: 37 http://deb.debian.org/debian unstable/main armhf autotools-dev all 20220109.1 [51.6 kB] Get: 38 http://deb.debian.org/debian unstable/main armhf automake all 1:1.16.5-1.3 [823 kB] Get: 39 http://deb.debian.org/debian unstable/main armhf autopoint all 0.22.5-2 [723 kB] Get: 40 http://deb.debian.org/debian unstable/main armhf libdebhelper-perl all 13.20 [89.7 kB] Get: 41 http://deb.debian.org/debian unstable/main armhf libtool all 2.4.7-8 [517 kB] Get: 42 http://deb.debian.org/debian unstable/main armhf dh-autoreconf all 20 [17.1 kB] Get: 43 http://deb.debian.org/debian unstable/main armhf libarchive-zip-perl all 1.68-1 [104 kB] Get: 44 http://deb.debian.org/debian unstable/main armhf libfile-stripnondeterminism-perl all 1.14.0-1 [19.5 kB] Get: 45 http://deb.debian.org/debian unstable/main armhf dh-strip-nondeterminism all 1.14.0-1 [8448 B] Get: 46 http://deb.debian.org/debian unstable/main armhf libelf1t64 armhf 0.192-4 [184 kB] Get: 47 http://deb.debian.org/debian unstable/main armhf dwz armhf 0.15-1+b2 [106 kB] Get: 48 http://deb.debian.org/debian unstable/main armhf libicu72 armhf 72.1-5+b1 [9088 kB] Get: 49 http://deb.debian.org/debian unstable/main armhf libxml2 armhf 2.12.7+dfsg+really2.9.14-0.2+b1 [605 kB] Get: 50 http://deb.debian.org/debian unstable/main armhf gettext armhf 0.22.5-2 [1485 kB] Get: 51 http://deb.debian.org/debian unstable/main armhf intltool-debian all 0.35.0+20060710.6 [22.9 kB] Get: 52 http://deb.debian.org/debian unstable/main armhf po-debconf all 1.0.21+nmu1 [248 kB] Get: 53 http://deb.debian.org/debian unstable/main armhf debhelper all 13.20 [915 kB] Get: 54 http://deb.debian.org/debian unstable/main armhf python3-autocommand all 2.2.2-3 [13.6 kB] Get: 55 http://deb.debian.org/debian unstable/main armhf python3-more-itertools all 10.5.0-1 [63.8 kB] Get: 56 http://deb.debian.org/debian unstable/main armhf python3-typing-extensions all 4.12.2-2 [73.0 kB] Get: 57 http://deb.debian.org/debian unstable/main armhf python3-typeguard all 4.4.1-1 [37.0 kB] Get: 58 http://deb.debian.org/debian unstable/main armhf python3-inflect all 7.3.1-2 [32.4 kB] Get: 59 http://deb.debian.org/debian unstable/main armhf python3-jaraco.context all 6.0.0-1 [7984 B] Get: 60 http://deb.debian.org/debian unstable/main armhf python3-jaraco.functools all 4.1.0-1 [12.0 kB] Get: 61 http://deb.debian.org/debian unstable/main armhf python3-pkg-resources all 75.2.0-1 [213 kB] Get: 62 http://deb.debian.org/debian unstable/main armhf python3-jaraco.text all 4.0.0-1 [11.4 kB] Get: 63 http://deb.debian.org/debian unstable/main armhf python3-zipp all 3.21.0-1 [10.6 kB] Get: 64 http://deb.debian.org/debian unstable/main armhf python3-setuptools all 75.2.0-1 [731 kB] Get: 65 http://deb.debian.org/debian unstable/main armhf dh-python all 6.20241024 [109 kB] Get: 66 http://deb.debian.org/debian unstable/main armhf libblas3 armhf 3.12.0-4 [111 kB] Get: 67 http://deb.debian.org/debian unstable/main armhf libgfortran5 armhf 14.2.0-8 [263 kB] Get: 68 http://deb.debian.org/debian unstable/main armhf liblapack3 armhf 3.12.0-4 [1828 kB] Get: 69 http://deb.debian.org/debian unstable/main armhf liblbfgsb0 armhf 3.0+dfsg.4-1+b2 [25.6 kB] Get: 70 http://deb.debian.org/debian unstable/main armhf libpython3.13-stdlib armhf 3.13.0-2 [1850 kB] Get: 71 http://deb.debian.org/debian unstable/main armhf python3.13 armhf 3.13.0-2 [730 kB] Get: 72 http://deb.debian.org/debian unstable/main armhf python3-all armhf 3.12.7-1 [1052 B] Get: 73 http://deb.debian.org/debian unstable/main armhf python3-decorator all 5.1.1-5 [15.1 kB] Get: 74 http://deb.debian.org/debian unstable/main armhf python3-six all 1.16.0-7 [16.4 kB] Get: 75 http://deb.debian.org/debian unstable/main armhf python3-numpy armhf 1:1.26.4+ds-12 [3676 kB] Get: 76 http://deb.debian.org/debian unstable/main armhf python3-ete3 all 3.1.3+dfsg-3 [375 kB] Get: 77 http://deb.debian.org/debian unstable/main armhf python3-scipy armhf 1.14.1-3 [17.8 MB] Fetched 56.1 MB in 1s (39.8 MB/s) debconf: delaying package configuration, since apt-utils is not installed Selecting previously unselected package libpython3.12-minimal:armhf. (Reading database ... (Reading database ... 5% (Reading database ... 10% (Reading database ... 15% (Reading database ... 20% (Reading database ... 25% (Reading database ... 30% (Reading database ... 35% (Reading database ... 40% (Reading database ... 45% (Reading database ... 50% (Reading database ... 55% (Reading database ... 60% (Reading database ... 65% (Reading database ... 70% (Reading database ... 75% (Reading database ... 80% (Reading database ... 85% (Reading database ... 90% (Reading database ... 95% (Reading database ... 100% (Reading database ... 19685 files and directories currently installed.) Preparing to unpack .../libpython3.12-minimal_3.12.7-3_armhf.deb ... Unpacking libpython3.12-minimal:armhf (3.12.7-3) ... Selecting previously unselected package libexpat1:armhf. Preparing to unpack .../libexpat1_2.6.4-1_armhf.deb ... Unpacking libexpat1:armhf (2.6.4-1) ... Selecting previously unselected package python3.12-minimal. Preparing to unpack .../python3.12-minimal_3.12.7-3_armhf.deb ... Unpacking python3.12-minimal (3.12.7-3) ... Setting up libpython3.12-minimal:armhf (3.12.7-3) ... Setting up libexpat1:armhf (2.6.4-1) ... Setting up python3.12-minimal (3.12.7-3) ... Selecting previously unselected package python3-minimal. (Reading database ... (Reading database ... 5% (Reading database ... 10% (Reading database ... 15% (Reading database ... 20% (Reading database ... 25% (Reading database ... 30% (Reading database ... 35% (Reading database ... 40% (Reading database ... 45% (Reading database ... 50% (Reading database ... 55% (Reading database ... 60% (Reading database ... 65% (Reading database ... 70% (Reading database ... 75% (Reading database ... 80% (Reading database ... 85% (Reading database ... 90% (Reading database ... 95% (Reading database ... 100% (Reading database ... 20005 files and directories currently installed.) Preparing to unpack .../00-python3-minimal_3.12.7-1_armhf.deb ... Unpacking python3-minimal (3.12.7-1) ... Selecting previously unselected package media-types. Preparing to unpack .../01-media-types_10.1.0_all.deb ... Unpacking media-types (10.1.0) ... Selecting previously unselected package netbase. Preparing to unpack .../02-netbase_6.4_all.deb ... Unpacking netbase (6.4) ... Selecting previously unselected package tzdata. Preparing to unpack .../03-tzdata_2024b-4_all.deb ... Unpacking tzdata (2024b-4) ... Selecting previously unselected package libkrb5support0:armhf. Preparing to unpack .../04-libkrb5support0_1.21.3-3_armhf.deb ... Unpacking libkrb5support0:armhf (1.21.3-3) ... Selecting previously unselected package libcom-err2:armhf. Preparing to unpack .../05-libcom-err2_1.47.2~rc1-2_armhf.deb ... Unpacking libcom-err2:armhf (1.47.2~rc1-2) ... Selecting previously unselected package libk5crypto3:armhf. Preparing to unpack .../06-libk5crypto3_1.21.3-3_armhf.deb ... Unpacking libk5crypto3:armhf (1.21.3-3) ... Selecting previously unselected package libkeyutils1:armhf. Preparing to unpack .../07-libkeyutils1_1.6.3-4_armhf.deb ... Unpacking libkeyutils1:armhf (1.6.3-4) ... Selecting previously unselected package libkrb5-3:armhf. Preparing to unpack .../08-libkrb5-3_1.21.3-3_armhf.deb ... Unpacking libkrb5-3:armhf (1.21.3-3) ... Selecting previously unselected package libgssapi-krb5-2:armhf. Preparing to unpack .../09-libgssapi-krb5-2_1.21.3-3_armhf.deb ... Unpacking libgssapi-krb5-2:armhf (1.21.3-3) ... Selecting previously unselected package libtirpc-common. Preparing to unpack .../10-libtirpc-common_1.3.4+ds-1.3_all.deb ... Unpacking libtirpc-common (1.3.4+ds-1.3) ... Selecting previously unselected package libtirpc3t64:armhf. Preparing to unpack .../11-libtirpc3t64_1.3.4+ds-1.3+b1_armhf.deb ... Adding 'diversion of /lib/arm-linux-gnueabihf/libtirpc.so.3 to /lib/arm-linux-gnueabihf/libtirpc.so.3.usr-is-merged by libtirpc3t64' Adding 'diversion of /lib/arm-linux-gnueabihf/libtirpc.so.3.0.0 to /lib/arm-linux-gnueabihf/libtirpc.so.3.0.0.usr-is-merged by libtirpc3t64' Unpacking libtirpc3t64:armhf (1.3.4+ds-1.3+b1) ... Selecting previously unselected package libnsl2:armhf. Preparing to unpack .../12-libnsl2_1.3.0-3+b3_armhf.deb ... Unpacking libnsl2:armhf (1.3.0-3+b3) ... Selecting previously unselected package readline-common. Preparing to unpack .../13-readline-common_8.2-5_all.deb ... Unpacking readline-common (8.2-5) ... Selecting previously unselected package libreadline8t64:armhf. Preparing to unpack .../14-libreadline8t64_8.2-5_armhf.deb ... Adding 'diversion of /lib/arm-linux-gnueabihf/libhistory.so.8 to /lib/arm-linux-gnueabihf/libhistory.so.8.usr-is-merged by libreadline8t64' Adding 'diversion of /lib/arm-linux-gnueabihf/libhistory.so.8.2 to /lib/arm-linux-gnueabihf/libhistory.so.8.2.usr-is-merged by libreadline8t64' Adding 'diversion of /lib/arm-linux-gnueabihf/libreadline.so.8 to /lib/arm-linux-gnueabihf/libreadline.so.8.usr-is-merged by libreadline8t64' Adding 'diversion of /lib/arm-linux-gnueabihf/libreadline.so.8.2 to /lib/arm-linux-gnueabihf/libreadline.so.8.2.usr-is-merged by libreadline8t64' Unpacking libreadline8t64:armhf (8.2-5) ... Selecting previously unselected package libpython3.12-stdlib:armhf. Preparing to unpack .../15-libpython3.12-stdlib_3.12.7-3_armhf.deb ... Unpacking libpython3.12-stdlib:armhf (3.12.7-3) ... Selecting previously unselected package python3.12. Preparing to unpack .../16-python3.12_3.12.7-3_armhf.deb ... Unpacking python3.12 (3.12.7-3) ... Selecting previously unselected package libpython3-stdlib:armhf. Preparing to unpack .../17-libpython3-stdlib_3.12.7-1_armhf.deb ... Unpacking libpython3-stdlib:armhf (3.12.7-1) ... Setting up python3-minimal (3.12.7-1) ... Selecting previously unselected package python3. (Reading database ... (Reading database ... 5% (Reading database ... 10% (Reading database ... 15% (Reading database ... 20% (Reading database ... 25% (Reading database ... 30% (Reading database ... 35% (Reading database ... 40% (Reading database ... 45% (Reading database ... 50% (Reading database ... 55% (Reading database ... 60% (Reading database ... 65% (Reading database ... 70% (Reading database ... 75% (Reading database ... 80% (Reading database ... 85% (Reading database ... 90% (Reading database ... 95% (Reading database ... 100% (Reading database ... 21066 files and directories currently installed.) Preparing to unpack .../00-python3_3.12.7-1_armhf.deb ... Unpacking python3 (3.12.7-1) ... Selecting previously unselected package libpython3.13-minimal:armhf. Preparing to unpack .../01-libpython3.13-minimal_3.13.0-2_armhf.deb ... Unpacking libpython3.13-minimal:armhf (3.13.0-2) ... Selecting previously unselected package python3.13-minimal. Preparing to unpack .../02-python3.13-minimal_3.13.0-2_armhf.deb ... Unpacking python3.13-minimal (3.13.0-2) ... Selecting previously unselected package sensible-utils. Preparing to unpack .../03-sensible-utils_0.0.24_all.deb ... Unpacking sensible-utils (0.0.24) ... Selecting previously unselected package libmagic-mgc. Preparing to unpack .../04-libmagic-mgc_1%3a5.45-3+b1_armhf.deb ... Unpacking libmagic-mgc (1:5.45-3+b1) ... Selecting previously unselected package libmagic1t64:armhf. Preparing to unpack .../05-libmagic1t64_1%3a5.45-3+b1_armhf.deb ... Unpacking libmagic1t64:armhf (1:5.45-3+b1) ... Selecting previously unselected package file. Preparing to unpack .../06-file_1%3a5.45-3+b1_armhf.deb ... Unpacking file (1:5.45-3+b1) ... Selecting previously unselected package gettext-base. Preparing to unpack .../07-gettext-base_0.22.5-2_armhf.deb ... Unpacking gettext-base (0.22.5-2) ... Selecting previously unselected package libuchardet0:armhf. Preparing to unpack .../08-libuchardet0_0.0.8-1+b2_armhf.deb ... Unpacking libuchardet0:armhf (0.0.8-1+b2) ... Selecting previously unselected package groff-base. Preparing to unpack .../09-groff-base_1.23.0-5_armhf.deb ... Unpacking groff-base (1.23.0-5) ... Selecting previously unselected package bsdextrautils. Preparing to unpack .../10-bsdextrautils_2.40.2-11_armhf.deb ... Unpacking bsdextrautils (2.40.2-11) ... Selecting previously unselected package libpipeline1:armhf. Preparing to unpack .../11-libpipeline1_1.5.8-1_armhf.deb ... Unpacking libpipeline1:armhf (1.5.8-1) ... Selecting previously unselected package man-db. Preparing to unpack .../12-man-db_2.13.0-1_armhf.deb ... Unpacking man-db (2.13.0-1) ... Selecting previously unselected package m4. 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Unpacking dwz (0.15-1+b2) ... Selecting previously unselected package libicu72:armhf. Preparing to unpack .../26-libicu72_72.1-5+b1_armhf.deb ... Unpacking libicu72:armhf (72.1-5+b1) ... Selecting previously unselected package libxml2:armhf. Preparing to unpack .../27-libxml2_2.12.7+dfsg+really2.9.14-0.2+b1_armhf.deb ... Unpacking libxml2:armhf (2.12.7+dfsg+really2.9.14-0.2+b1) ... Selecting previously unselected package gettext. Preparing to unpack .../28-gettext_0.22.5-2_armhf.deb ... Unpacking gettext (0.22.5-2) ... Selecting previously unselected package intltool-debian. Preparing to unpack .../29-intltool-debian_0.35.0+20060710.6_all.deb ... Unpacking intltool-debian (0.35.0+20060710.6) ... Selecting previously unselected package po-debconf. Preparing to unpack .../30-po-debconf_1.0.21+nmu1_all.deb ... Unpacking po-debconf (1.0.21+nmu1) ... Selecting previously unselected package debhelper. Preparing to unpack .../31-debhelper_13.20_all.deb ... Unpacking debhelper (13.20) ... 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Selecting previously unselected package dh-python. Preparing to unpack .../43-dh-python_6.20241024_all.deb ... Unpacking dh-python (6.20241024) ... Selecting previously unselected package libblas3:armhf. Preparing to unpack .../44-libblas3_3.12.0-4_armhf.deb ... Unpacking libblas3:armhf (3.12.0-4) ... Selecting previously unselected package libgfortran5:armhf. Preparing to unpack .../45-libgfortran5_14.2.0-8_armhf.deb ... Unpacking libgfortran5:armhf (14.2.0-8) ... Selecting previously unselected package liblapack3:armhf. Preparing to unpack .../46-liblapack3_3.12.0-4_armhf.deb ... Unpacking liblapack3:armhf (3.12.0-4) ... Selecting previously unselected package liblbfgsb0:armhf. Preparing to unpack .../47-liblbfgsb0_3.0+dfsg.4-1+b2_armhf.deb ... Unpacking liblbfgsb0:armhf (3.0+dfsg.4-1+b2) ... Selecting previously unselected package libpython3.13-stdlib:armhf. Preparing to unpack .../48-libpython3.13-stdlib_3.13.0-2_armhf.deb ... Unpacking libpython3.13-stdlib:armhf (3.13.0-2) ... Selecting previously unselected package python3.13. Preparing to unpack .../49-python3.13_3.13.0-2_armhf.deb ... Unpacking python3.13 (3.13.0-2) ... Selecting previously unselected package python3-all. Preparing to unpack .../50-python3-all_3.12.7-1_armhf.deb ... Unpacking python3-all (3.12.7-1) ... Selecting previously unselected package python3-decorator. Preparing to unpack .../51-python3-decorator_5.1.1-5_all.deb ... Unpacking python3-decorator (5.1.1-5) ... Selecting previously unselected package python3-six. Preparing to unpack .../52-python3-six_1.16.0-7_all.deb ... Unpacking python3-six (1.16.0-7) ... Selecting previously unselected package python3-numpy. Preparing to unpack .../53-python3-numpy_1%3a1.26.4+ds-12_armhf.deb ... Unpacking python3-numpy (1:1.26.4+ds-12) ... Selecting previously unselected package python3-ete3. Preparing to unpack .../54-python3-ete3_3.1.3+dfsg-3_all.deb ... Unpacking python3-ete3 (3.1.3+dfsg-3) ... Selecting previously unselected package python3-scipy. Preparing to unpack .../55-python3-scipy_1.14.1-3_armhf.deb ... Unpacking python3-scipy (1.14.1-3) ... Setting up media-types (10.1.0) ... Setting up libpipeline1:armhf (1.5.8-1) ... Setting up libkeyutils1:armhf (1.6.3-4) ... Setting up libicu72:armhf (72.1-5+b1) ... Setting up bsdextrautils (2.40.2-11) ... Setting up libmagic-mgc (1:5.45-3+b1) ... Setting up libarchive-zip-perl (1.68-1) ... Setting up libtirpc-common (1.3.4+ds-1.3) ... Setting up libdebhelper-perl (13.20) ... Setting up libmagic1t64:armhf (1:5.45-3+b1) ... Setting up gettext-base (0.22.5-2) ... Setting up m4 (1.4.19-4) ... Setting up libcom-err2:armhf (1.47.2~rc1-2) ... Setting up file (1:5.45-3+b1) ... Setting up libelf1t64:armhf (0.192-4) ... Setting up libkrb5support0:armhf (1.21.3-3) ... Setting up tzdata (2024b-4) ... Current default time zone: 'Etc/UTC' Local time is now: Wed Dec 4 17:42:53 UTC 2024. Universal Time is now: Wed Dec 4 17:42:53 UTC 2024. Run 'dpkg-reconfigure tzdata' if you wish to change it. Setting up libpython3.13-minimal:armhf (3.13.0-2) ... Setting up autotools-dev (20220109.1) ... Setting up libblas3:armhf (3.12.0-4) ... update-alternatives: using /usr/lib/arm-linux-gnueabihf/blas/libblas.so.3 to provide /usr/lib/arm-linux-gnueabihf/libblas.so.3 (libblas.so.3-arm-linux-gnueabihf) in auto mode Setting up autopoint (0.22.5-2) ... Setting up libk5crypto3:armhf (1.21.3-3) ... Setting up libgfortran5:armhf (14.2.0-8) ... Setting up autoconf (2.72-3) ... Setting up dwz (0.15-1+b2) ... Setting up sensible-utils (0.0.24) ... Setting up libuchardet0:armhf (0.0.8-1+b2) ... Setting up python3.13-minimal (3.13.0-2) ... Setting up netbase (6.4) ... Setting up libkrb5-3:armhf (1.21.3-3) ... Setting up readline-common (8.2-5) ... Setting up libxml2:armhf (2.12.7+dfsg+really2.9.14-0.2+b1) ... Setting up automake (1:1.16.5-1.3) ... update-alternatives: using /usr/bin/automake-1.16 to provide /usr/bin/automake (automake) in auto mode Setting up libfile-stripnondeterminism-perl (1.14.0-1) ... Setting up liblapack3:armhf (3.12.0-4) ... update-alternatives: using /usr/lib/arm-linux-gnueabihf/lapack/liblapack.so.3 to provide /usr/lib/arm-linux-gnueabihf/liblapack.so.3 (liblapack.so.3-arm-linux-gnueabihf) in auto mode Setting up gettext (0.22.5-2) ... Setting up libtool (2.4.7-8) ... Setting up intltool-debian (0.35.0+20060710.6) ... Setting up dh-autoreconf (20) ... Setting up libgssapi-krb5-2:armhf (1.21.3-3) ... Setting up libreadline8t64:armhf (8.2-5) ... Setting up dh-strip-nondeterminism (1.14.0-1) ... Setting up groff-base (1.23.0-5) ... Setting up libpython3.13-stdlib:armhf (3.13.0-2) ... Setting up liblbfgsb0:armhf (3.0+dfsg.4-1+b2) ... Setting up libtirpc3t64:armhf (1.3.4+ds-1.3+b1) ... Setting up python3.13 (3.13.0-2) ... Setting up po-debconf (1.0.21+nmu1) ... Setting up man-db (2.13.0-1) ... Not building database; man-db/auto-update is not 'true'. Setting up libnsl2:armhf (1.3.0-3+b3) ... Setting up libpython3.12-stdlib:armhf (3.12.7-3) ... Setting up python3.12 (3.12.7-3) ... Setting up debhelper (13.20) ... Setting up libpython3-stdlib:armhf (3.12.7-1) ... Setting up python3 (3.12.7-1) ... Setting up python3-zipp (3.21.0-1) ... Setting up python3-autocommand (2.2.2-3) ... Setting up python3-six (1.16.0-7) ... Setting up python3-decorator (5.1.1-5) ... Setting up python3-typing-extensions (4.12.2-2) ... Setting up python3-more-itertools (10.5.0-1) ... Setting up python3-jaraco.functools (4.1.0-1) ... Setting up python3-jaraco.context (6.0.0-1) ... Setting up python3-typeguard (4.4.1-1) ... Setting up python3-all (3.12.7-1) ... Setting up python3-inflect (7.3.1-2) ... Setting up python3-jaraco.text (4.0.0-1) ... Setting up python3-pkg-resources (75.2.0-1) ... Setting up python3-setuptools (75.2.0-1) ... Setting up python3-numpy (1:1.26.4+ds-12) ... Setting up dh-python (6.20241024) ... Setting up python3-scipy (1.14.1-3) ... Setting up python3-ete3 (3.1.3+dfsg-3) ... Processing triggers for libc-bin (2.40-4) ... Reading package lists... Building dependency tree... Reading state information... Reading extended state information... Initializing package states... Writing extended state information... Building tag database... -> Finished parsing the build-deps I: Building the package I: user script /srv/workspace/pbuilder/814/tmp/hooks/A99_set_merged_usr starting Not re-configuring usrmerge for unstable I: user script /srv/workspace/pbuilder/814/tmp/hooks/A99_set_merged_usr finished hostname: Name or service not known I: Running cd /build/reproducible-path/scoary-1.6.16/ && env PATH="/usr/sbin:/usr/bin:/sbin:/bin:/usr/games:/i/capture/the/path" HOME="/nonexistent/second-build" dpkg-buildpackage -us -uc -b && env PATH="/usr/sbin:/usr/bin:/sbin:/bin:/usr/games:/i/capture/the/path" HOME="/nonexistent/second-build" dpkg-genchanges -S > ../scoary_1.6.16-10_source.changes dpkg-buildpackage: info: source package scoary dpkg-buildpackage: info: source version 1.6.16-10 dpkg-buildpackage: info: source distribution unstable dpkg-buildpackage: info: source changed by Étienne Mollier dpkg-source --before-build . dpkg-buildpackage: info: host architecture armhf debian/rules clean dh clean --buildsystem=pybuild dh_auto_clean -O--buildsystem=pybuild I: pybuild base:311: python3.13 setup.py clean /usr/lib/python3/dist-packages/setuptools/dist.py:491: SetuptoolsDeprecationWarning: Invalid dash-separated options !! ******************************************************************************** Usage of dash-separated 'description-file' will not be supported in future versions. Please use the underscore name 'description_file' instead. By 2025-Mar-03, you need to update your project and remove deprecated calls or your builds will no longer be supported. See https://setuptools.pypa.io/en/latest/userguide/declarative_config.html for details. ******************************************************************************** !! opt = self.warn_dash_deprecation(opt, section) /usr/lib/python3/dist-packages/setuptools/_distutils/dist.py:261: UserWarning: Unknown distribution option: 'test_suite' warnings.warn(msg) /usr/lib/python3/dist-packages/setuptools/_distutils/dist.py:261: UserWarning: Unknown distribution option: 'tests_require' warnings.warn(msg) running clean removing '/build/reproducible-path/scoary-1.6.16/.pybuild/cpython3_3.13/build' (and everything under it) 'build/bdist.linux-armv7l' does not exist -- can't clean it 'build/scripts-3.13' does not exist -- can't clean it I: pybuild base:311: python3.12 setup.py clean /usr/lib/python3/dist-packages/setuptools/dist.py:491: SetuptoolsDeprecationWarning: Invalid dash-separated options !! ******************************************************************************** Usage of dash-separated 'description-file' will not be supported in future versions. Please use the underscore name 'description_file' instead. By 2025-Mar-03, you need to update your project and remove deprecated calls or your builds will no longer be supported. See https://setuptools.pypa.io/en/latest/userguide/declarative_config.html for details. ******************************************************************************** !! opt = self.warn_dash_deprecation(opt, section) /usr/lib/python3/dist-packages/setuptools/_distutils/dist.py:261: UserWarning: Unknown distribution option: 'test_suite' warnings.warn(msg) /usr/lib/python3/dist-packages/setuptools/_distutils/dist.py:261: UserWarning: Unknown distribution option: 'tests_require' warnings.warn(msg) running clean removing '/build/reproducible-path/scoary-1.6.16/.pybuild/cpython3_3.12/build' (and everything under it) 'build/bdist.linux-armv7l' does not exist -- can't clean it 'build/scripts-3.12' does not exist -- can't clean it dh_autoreconf_clean -O--buildsystem=pybuild dh_clean -O--buildsystem=pybuild debian/rules binary dh binary --buildsystem=pybuild dh_update_autotools_config -O--buildsystem=pybuild dh_autoreconf -O--buildsystem=pybuild dh_auto_configure -O--buildsystem=pybuild I: pybuild base:311: python3.13 setup.py config /usr/lib/python3/dist-packages/setuptools/dist.py:491: SetuptoolsDeprecationWarning: Invalid dash-separated options !! ******************************************************************************** Usage of dash-separated 'description-file' will not be supported in future versions. Please use the underscore name 'description_file' instead. By 2025-Mar-03, you need to update your project and remove deprecated calls or your builds will no longer be supported. See https://setuptools.pypa.io/en/latest/userguide/declarative_config.html for details. ******************************************************************************** !! opt = self.warn_dash_deprecation(opt, section) /usr/lib/python3/dist-packages/setuptools/_distutils/dist.py:261: UserWarning: Unknown distribution option: 'test_suite' warnings.warn(msg) /usr/lib/python3/dist-packages/setuptools/_distutils/dist.py:261: UserWarning: Unknown distribution option: 'tests_require' warnings.warn(msg) running config I: pybuild base:311: python3.12 setup.py config /usr/lib/python3/dist-packages/setuptools/dist.py:491: SetuptoolsDeprecationWarning: Invalid dash-separated options !! ******************************************************************************** Usage of dash-separated 'description-file' will not be supported in future versions. Please use the underscore name 'description_file' instead. By 2025-Mar-03, you need to update your project and remove deprecated calls or your builds will no longer be supported. See https://setuptools.pypa.io/en/latest/userguide/declarative_config.html for details. ******************************************************************************** !! opt = self.warn_dash_deprecation(opt, section) /usr/lib/python3/dist-packages/setuptools/_distutils/dist.py:261: UserWarning: Unknown distribution option: 'test_suite' warnings.warn(msg) /usr/lib/python3/dist-packages/setuptools/_distutils/dist.py:261: UserWarning: Unknown distribution option: 'tests_require' warnings.warn(msg) running config dh_auto_build -O--buildsystem=pybuild I: pybuild base:311: /usr/bin/python3.13 setup.py build /usr/lib/python3/dist-packages/setuptools/dist.py:491: SetuptoolsDeprecationWarning: Invalid dash-separated options !! ******************************************************************************** Usage of dash-separated 'description-file' will not be supported in future versions. Please use the underscore name 'description_file' instead. By 2025-Mar-03, you need to update your project and remove deprecated calls or your builds will no longer be supported. See https://setuptools.pypa.io/en/latest/userguide/declarative_config.html for details. ******************************************************************************** !! opt = self.warn_dash_deprecation(opt, section) /usr/lib/python3/dist-packages/setuptools/_distutils/dist.py:261: UserWarning: Unknown distribution option: 'test_suite' warnings.warn(msg) /usr/lib/python3/dist-packages/setuptools/_distutils/dist.py:261: UserWarning: Unknown distribution option: 'tests_require' warnings.warn(msg) running build running build_py creating /build/reproducible-path/scoary-1.6.16/.pybuild/cpython3_3.13/build/scoary copying scoary/__init__.py -> /build/reproducible-path/scoary-1.6.16/.pybuild/cpython3_3.13/build/scoary copying scoary/vcf2scoary.py -> /build/reproducible-path/scoary-1.6.16/.pybuild/cpython3_3.13/build/scoary copying scoary/GUI.py -> /build/reproducible-path/scoary-1.6.16/.pybuild/cpython3_3.13/build/scoary copying scoary/classes.py -> /build/reproducible-path/scoary-1.6.16/.pybuild/cpython3_3.13/build/scoary copying scoary/nwkhandler.py -> /build/reproducible-path/scoary-1.6.16/.pybuild/cpython3_3.13/build/scoary copying scoary/methods.py -> /build/reproducible-path/scoary-1.6.16/.pybuild/cpython3_3.13/build/scoary copying scoary/citation.py -> /build/reproducible-path/scoary-1.6.16/.pybuild/cpython3_3.13/build/scoary running egg_info creating scoary.egg-info writing scoary.egg-info/PKG-INFO writing dependency_links to scoary.egg-info/dependency_links.txt writing entry points to scoary.egg-info/entry_points.txt writing requirements to scoary.egg-info/requires.txt writing top-level names to scoary.egg-info/top_level.txt writing manifest file 'scoary.egg-info/SOURCES.txt' reading manifest file 'scoary.egg-info/SOURCES.txt' reading manifest template 'MANIFEST.in' adding license file 'LICENSE' writing manifest file 'scoary.egg-info/SOURCES.txt' /usr/lib/python3/dist-packages/setuptools/command/build_py.py:218: _Warning: Package 'scoary.exampledata' is absent from the `packages` configuration. !! ******************************************************************************** ############################ # Package would be ignored # ############################ Python recognizes 'scoary.exampledata' as an importable package[^1], but it is absent from setuptools' `packages` configuration. This leads to an ambiguous overall configuration. If you want to distribute this package, please make sure that 'scoary.exampledata' is explicitly added to the `packages` configuration field. Alternatively, you can also rely on setuptools' discovery methods (for example by using `find_namespace_packages(...)`/`find_namespace:` instead of `find_packages(...)`/`find:`). You can read more about "package discovery" on setuptools documentation page: - https://setuptools.pypa.io/en/latest/userguide/package_discovery.html If you don't want 'scoary.exampledata' to be distributed and are already explicitly excluding 'scoary.exampledata' via `find_namespace_packages(...)/find_namespace` or `find_packages(...)/find`, you can try to use `exclude_package_data`, or `include-package-data=False` in combination with a more fine grained `package-data` configuration. You can read more about "package data files" on setuptools documentation page: - https://setuptools.pypa.io/en/latest/userguide/datafiles.html [^1]: For Python, any directory (with suitable naming) can be imported, even if it does not contain any `.py` files. On the other hand, currently there is no concept of package data directory, all directories are treated like packages. ******************************************************************************** !! check.warn(importable) creating /build/reproducible-path/scoary-1.6.16/.pybuild/cpython3_3.13/build/scoary/exampledata copying scoary/exampledata/Example.vcf -> /build/reproducible-path/scoary-1.6.16/.pybuild/cpython3_3.13/build/scoary/exampledata copying scoary/exampledata/ExampleTree.nwk -> /build/reproducible-path/scoary-1.6.16/.pybuild/cpython3_3.13/build/scoary/exampledata copying scoary/exampledata/ExampleVCFTrait.csv -> /build/reproducible-path/scoary-1.6.16/.pybuild/cpython3_3.13/build/scoary/exampledata copying scoary/exampledata/Gene_presence_absence.csv -> /build/reproducible-path/scoary-1.6.16/.pybuild/cpython3_3.13/build/scoary/exampledata copying scoary/exampledata/Restrict_to.csv -> /build/reproducible-path/scoary-1.6.16/.pybuild/cpython3_3.13/build/scoary/exampledata copying scoary/exampledata/Tetracycline_resistance.csv -> /build/reproducible-path/scoary-1.6.16/.pybuild/cpython3_3.13/build/scoary/exampledata I: pybuild base:311: /usr/bin/python3 setup.py build /usr/lib/python3/dist-packages/setuptools/dist.py:491: SetuptoolsDeprecationWarning: Invalid dash-separated options !! ******************************************************************************** Usage of dash-separated 'description-file' will not be supported in future versions. Please use the underscore name 'description_file' instead. By 2025-Mar-03, you need to update your project and remove deprecated calls or your builds will no longer be supported. See https://setuptools.pypa.io/en/latest/userguide/declarative_config.html for details. ******************************************************************************** !! opt = self.warn_dash_deprecation(opt, section) /usr/lib/python3/dist-packages/setuptools/_distutils/dist.py:261: UserWarning: Unknown distribution option: 'test_suite' warnings.warn(msg) /usr/lib/python3/dist-packages/setuptools/_distutils/dist.py:261: UserWarning: Unknown distribution option: 'tests_require' warnings.warn(msg) running build running build_py creating /build/reproducible-path/scoary-1.6.16/.pybuild/cpython3_3.12/build/scoary copying scoary/__init__.py -> /build/reproducible-path/scoary-1.6.16/.pybuild/cpython3_3.12/build/scoary copying scoary/vcf2scoary.py -> /build/reproducible-path/scoary-1.6.16/.pybuild/cpython3_3.12/build/scoary copying scoary/GUI.py -> /build/reproducible-path/scoary-1.6.16/.pybuild/cpython3_3.12/build/scoary copying scoary/classes.py -> /build/reproducible-path/scoary-1.6.16/.pybuild/cpython3_3.12/build/scoary copying scoary/nwkhandler.py -> /build/reproducible-path/scoary-1.6.16/.pybuild/cpython3_3.12/build/scoary copying scoary/methods.py -> /build/reproducible-path/scoary-1.6.16/.pybuild/cpython3_3.12/build/scoary copying scoary/citation.py -> /build/reproducible-path/scoary-1.6.16/.pybuild/cpython3_3.12/build/scoary running egg_info writing scoary.egg-info/PKG-INFO writing dependency_links to scoary.egg-info/dependency_links.txt writing entry points to scoary.egg-info/entry_points.txt writing requirements to scoary.egg-info/requires.txt writing top-level names to scoary.egg-info/top_level.txt reading manifest file 'scoary.egg-info/SOURCES.txt' reading manifest template 'MANIFEST.in' adding license file 'LICENSE' writing manifest file 'scoary.egg-info/SOURCES.txt' /usr/lib/python3/dist-packages/setuptools/command/build_py.py:218: _Warning: Package 'scoary.exampledata' is absent from the `packages` configuration. !! ******************************************************************************** ############################ # Package would be ignored # ############################ Python recognizes 'scoary.exampledata' as an importable package[^1], but it is absent from setuptools' `packages` configuration. This leads to an ambiguous overall configuration. If you want to distribute this package, please make sure that 'scoary.exampledata' is explicitly added to the `packages` configuration field. Alternatively, you can also rely on setuptools' discovery methods (for example by using `find_namespace_packages(...)`/`find_namespace:` instead of `find_packages(...)`/`find:`). You can read more about "package discovery" on setuptools documentation page: - https://setuptools.pypa.io/en/latest/userguide/package_discovery.html If you don't want 'scoary.exampledata' to be distributed and are already explicitly excluding 'scoary.exampledata' via `find_namespace_packages(...)/find_namespace` or `find_packages(...)/find`, you can try to use `exclude_package_data`, or `include-package-data=False` in combination with a more fine grained `package-data` configuration. You can read more about "package data files" on setuptools documentation page: - https://setuptools.pypa.io/en/latest/userguide/datafiles.html [^1]: For Python, any directory (with suitable naming) can be imported, even if it does not contain any `.py` files. On the other hand, currently there is no concept of package data directory, all directories are treated like packages. ******************************************************************************** !! check.warn(importable) creating /build/reproducible-path/scoary-1.6.16/.pybuild/cpython3_3.12/build/scoary/exampledata copying scoary/exampledata/Example.vcf -> /build/reproducible-path/scoary-1.6.16/.pybuild/cpython3_3.12/build/scoary/exampledata copying scoary/exampledata/ExampleTree.nwk -> /build/reproducible-path/scoary-1.6.16/.pybuild/cpython3_3.12/build/scoary/exampledata copying scoary/exampledata/ExampleVCFTrait.csv -> /build/reproducible-path/scoary-1.6.16/.pybuild/cpython3_3.12/build/scoary/exampledata copying scoary/exampledata/Gene_presence_absence.csv -> /build/reproducible-path/scoary-1.6.16/.pybuild/cpython3_3.12/build/scoary/exampledata copying scoary/exampledata/Restrict_to.csv -> /build/reproducible-path/scoary-1.6.16/.pybuild/cpython3_3.12/build/scoary/exampledata copying scoary/exampledata/Tetracycline_resistance.csv -> /build/reproducible-path/scoary-1.6.16/.pybuild/cpython3_3.12/build/scoary/exampledata debian/rules override_dh_auto_test make[1]: Entering directory '/build/reproducible-path/scoary-1.6.16' # tests steps are described in .travis.yml set -e \ ; for PYTHON3 in python3.13 python3.12 \ ; do \ $PYTHON3 scoary.py \ -g scoary/exampledata/Gene_presence_absence.csv \ -t scoary/exampledata/Tetracycline_resistance.csv \ -o Test1 \ --no-time \ ; $PYTHON3 scoary.py \ -g scoary/exampledata/Gene_presence_absence.csv \ -t scoary/exampledata/Tetracycline_resistance.csv \ --no_pairwise \ -o Test2 \ --no-time \ ; $PYTHON3 scoary.py \ -g scoary/exampledata/Gene_presence_absence.csv \ -t scoary/exampledata/Tetracycline_resistance.csv \ -r scoary/exampledata/Restrict_to.csv \ -w -o Test3 --no-time \ ; $PYTHON3 scoary.py \ -g scoary/exampledata/Gene_presence_absence.csv \ -t scoary/exampledata/Tetracycline_resistance.csv \ -p 0.01 1E-5 -c B EPW --collapse -m 50 -u \ -n scoary/exampledata/ExampleTree.nwk \ --threads 4 -o Test4 --no-time \ ; $PYTHON3 scoary/vcf2scoary.py \ --force scoary/exampledata/Example.vcf \ ; $PYTHON3 tests/test_scoary_output.py \ ; done Warning. Since 1.5.0 scoary.py is deprecated. Install Scoary using 'pip install scoary instead, and run using scoary ==== Scoary started ==== Command: scoary.py -g scoary/exampledata/Gene_presence_absence.csv -t scoary/exampledata/Tetracycline_resistance.csv -o Test1 --no-time Reading gene presence absence file Creating Hamming distance matrix based on gene presence/absence Building UPGMA tree from distance matrix Reading traits file WARNING: Some isolates have missing values for trait Bogus_trait. Missing-value isolates will not be counted in association analysis towards this trait. Finished loading files into memory. ==== Performing statistics ==== -- Filtration options -- Individual (Naive): 0.05 Collapse genes: False Tallying genes and performing statistical analyses Gene-wise counting and Fisher's exact tests for trait: Tetracycline_resistance 0.00% 0.01% 0.02% 0.03% 0.04% 0.06% 0.07% 0.08% 0.09% 0.10% 0.11% 0.12% 0.13% 0.14% 0.16% 0.17% 0.18% 0.19% 0.20% 0.21% 0.22% 0.23% 0.24% 0.26% 0.27% 0.28% 0.29% 0.30% 0.31% 0.32% 0.33% 0.34% 0.36% 0.37% 0.38% 0.39% 0.40% 0.41% 0.42% 0.43% 0.44% 0.46% 0.47% 0.48% 0.49% 0.50% 0.51% 0.52% 0.53% 0.54% 0.56% 0.57% 0.58% 0.59% 0.60% 0.61% 0.62% 0.63% 0.64% 0.66% 0.67% 0.68% 0.69% 0.70% 0.71% 0.72% 0.73% 0.74% 0.76% 0.77% 0.78% 0.79% 0.80% 0.81% 0.82% 0.83% 0.84% 0.86% 0.87% 0.88% 0.89% 0.90% 0.91% 0.92% 0.93% 0.94% 0.96% 0.97% 0.98% 0.99% 1.00% 1.01% 1.02% 1.03% 1.04% 1.06% 1.07% 1.08% 1.09% 1.10% 1.11% 1.12% 1.13% 1.14% 1.16% 1.17% 1.18% 1.19% 1.20% 1.21% 1.22% 1.23% 1.24% 1.26% 1.27% 1.28% 1.29% 1.30% 1.31% 1.32% 1.33% 1.34% 1.36% 1.37% 1.38% 1.39% 1.40% 1.41% 1.42% 1.43% 1.44% 1.46% 1.47% 1.48% 1.49% 1.50% 1.51% 1.52% 1.53% 1.54% 1.56% 1.57% 1.58% 1.59% 1.60% 1.61% 1.62% 1.63% 1.64% 1.66% 1.67% 1.68% 1.69% 1.70% 1.71% 1.72% 1.73% 1.74% 1.76% 1.77% 1.78% 1.79% 1.80% 1.81% 1.82% 1.83% 1.84% 1.86% 1.87% 1.88% 1.89% 1.90% 1.91% 1.92% 1.93% 1.94% 1.96% 1.97% 1.98% 1.99% 2.00% 2.01% 2.02% 2.03% 2.04% 2.06% 2.07% 2.08% 2.09% 2.10% 2.11% 2.12% 2.13% 2.14% 2.16% 2.17% 2.18% 2.19% 2.20% 2.21% 2.22% 2.23% 2.24% 2.26% 2.27% 2.28% 2.29% 2.30% 2.31% 2.32% 2.33% 2.34% 2.36% 2.37% 2.38% 2.39% 2.40% 2.41% 2.42% 2.43% 2.44% 2.46% 2.47% 2.48% 2.49% 2.50% 2.51% 2.52% 2.53% 2.54% 2.56% 2.57% 2.58% 2.59% 2.60% 2.61% 2.62% 2.63% 2.64% 2.66% 2.67% 2.68% 2.69% 2.70% 2.71% 2.72% 2.73% 2.74% 2.76% 2.77% 2.78% 2.79% 2.80% 2.81% 2.82% 2.83% 2.84% 2.86% 2.87% 2.88% 2.89% 2.90% 2.91% 2.92% 2.93% 2.94% 2.96% 2.97% 2.98% 2.99% 3.00% 3.01% 3.02% 3.03% 3.04% 3.06% 3.07% 3.08% 3.09% 3.10% 3.11% 3.12% 3.13% 3.14% 3.16% 3.17% 3.18% 3.19% 3.20% 3.21% 3.22% 3.23% 3.24% 3.26% 3.27% 3.28% 3.29% 3.30% 3.31% 3.32% 3.33% 3.34% 3.36% 3.37% 3.38% 3.39% 3.40% 3.41% 3.42% 3.43% 3.44% 3.46% 3.47% 3.48% 3.49% 3.50% 3.51% 3.52% 3.53% 3.54% 3.56% 3.57% 3.58% 3.59% 3.60% 3.61% 3.62% 3.63% 3.64% 3.66% 3.67% 3.68% 3.69% 3.70% 3.71% 3.72% 3.73% 3.74% 3.76% 3.77% 3.78% 3.79% 3.80% 3.81% 3.82% 3.83% 3.84% 3.86% 3.87% 3.88% 3.89% 3.90% 3.91% 3.92% 3.93% 3.94% 3.96% 3.97% 3.98% 3.99% 4.00% 4.01% 4.02% 4.03% 4.04% 4.06% 4.07% 4.08% 4.09% 4.10% 4.11% 4.12% 4.13% 4.14% 4.16% 4.17% 4.18% 4.19% 4.20% 4.21% 4.22% 4.23% 4.24% 4.26% 4.27% 4.28% 4.29% 4.30% 4.31% 4.32% 4.33% 4.34% 4.36% 4.37% 4.38% 4.39% 4.40% 4.41% 4.42% 4.43% 4.44% 4.46% 4.47% 4.48% 4.49% 4.50% 4.51% 4.52% 4.53% 4.54% 4.56% 4.57% 4.58% 4.59% 4.60% 4.61% 4.62% 4.63% 4.64% 4.66% 4.67% 4.68% 4.69% 4.70% 4.71% 4.72% 4.73% 4.74% 4.76% 4.77% 4.78% 4.79% 4.80% 4.81% 4.82% 4.83% 4.84% 4.86% 4.87% 4.88% 4.89% 4.90% 4.91% 4.92% 4.93% 4.94% 4.96% 4.97% 4.98% 4.99% 5.00% 5.01% 5.02% 5.03% 5.04% 5.05% 5.07% 5.08% 5.09% 5.10% 5.11% 5.12% 5.13% 5.14% 5.15% 5.17% 5.18% 5.19% 5.20% 5.21% 5.22% 5.23% 5.24% 5.25% 5.27% 5.28% 5.29% 5.30% 5.31% 5.32% 5.33% 5.34% 5.35% 5.37% 5.38% 5.39% 5.40% 5.41% 5.42% 5.43% 5.44% 5.45% 5.47% 5.48% 5.49% 5.50% 5.51% 5.52% 5.53% 5.54% 5.55% 5.57% 5.58% 5.59% 5.60% 5.61% 5.62% 5.63% 5.64% 5.65% 5.67% 5.68% 5.69% 5.70% 5.71% 5.72% 5.73% 5.74% 5.75% 5.77% 5.78% 5.79% 5.80% 5.81% 5.82% 5.83% 5.84% 5.85% 5.87% 5.88% 5.89% 5.90% 5.91% 5.92% 5.93% 5.94% 5.95% 5.97% 5.98% 5.99% 6.00% 6.01% 6.02% 6.03% 6.04% 6.05% 6.07% 6.08% 6.09% 6.10% 6.11% 6.12% 6.13% 6.14% 6.15% 6.17% 6.18% 6.19% 6.20% 6.21% 6.22% 6.23% 6.24% 6.25% 6.27% 6.28% 6.29% 6.30% 6.31% 6.32% 6.33% 6.34% 6.35% 6.37% 6.38% 6.39% 6.40% 6.41% 6.42% 6.43% 6.44% 6.45% 6.47% 6.48% 6.49% 6.50% 6.51% 6.52% 6.53% 6.54% 6.55% 6.57% 6.58% 6.59% 6.60% 6.61% 6.62% 6.63% 6.64% 6.65% 6.67% 6.68% 6.69% 6.70% 6.71% 6.72% 6.73% 6.74% 6.75% 6.77% 6.78% 6.79% 6.80% 6.81% 6.82% 6.83% 6.84% 6.85% 6.87% 6.88% 6.89% 6.90% 6.91% 6.92% 6.93% 6.94% 6.95% 6.97% 6.98% 6.99% 7.00% 7.01% 7.02% 7.03% 7.04% 7.05% 7.07% 7.08% 7.09% 7.10% 7.11% 7.12% 7.13% 7.14% 7.15% 7.17% 7.18% 7.19% 7.20% 7.21% 7.22% 7.23% 7.24% 7.25% 7.27% 7.28% 7.29% 7.30% 7.31% 7.32% 7.33% 7.34% 7.35% 7.37% 7.38% 7.39% 7.40% 7.41% 7.42% 7.43% 7.44% 7.45% 7.47% 7.48% 7.49% 7.50% 7.51% 7.52% 7.53% 7.54% 7.55% 7.57% 7.58% 7.59% 7.60% 7.61% 7.62% 7.63% 7.64% 7.65% 7.67% 7.68% 7.69% 7.70% 7.71% 7.72% 7.73% 7.74% 7.75% 7.77% 7.78% 7.79% 7.80% 7.81% 7.82% 7.83% 7.84% 7.85% 7.87% 7.88% 7.89% 7.90% 7.91% 7.92% 7.93% 7.94% 7.95% 7.97% 7.98% 7.99% 8.00% 8.01% 8.02% 8.03% 8.04% 8.05% 8.07% 8.08% 8.09% 8.10% 8.11% 8.12% 8.13% 8.14% 8.15% 8.17% 8.18% 8.19% 8.20% 8.21% 8.22% 8.23% 8.24% 8.25% 8.27% 8.28% 8.29% 8.30% 8.31% 8.32% 8.33% 8.34% 8.35% 8.37% 8.38% 8.39% 8.40% 8.41% 8.42% 8.43% 8.44% 8.45% 8.47% 8.48% 8.49% 8.50% 8.51% 8.52% 8.53% 8.54% 8.55% 8.57% 8.58% 8.59% 8.60% 8.61% 8.62% 8.63% 8.64% 8.65% 8.67% 8.68% 8.69% 8.70% 8.71% 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50.21% 50.22% 50.23% 50.24% 50.25% 50.26% 50.27% 50.28% 50.29% 50.31% 50.32% 50.33% 50.34% 50.35% 50.36% 50.37% 50.38% 50.39% 50.41% 50.42% 50.43% 50.44% 50.45% 50.46% 50.47% 50.48% 50.49% 50.51% 50.52% 50.53% 50.54% 50.55% 50.56% 50.57% 50.58% 50.59% 50.61% 50.62% 50.63% 50.64% 50.65% 50.66% 50.67% 50.68% 50.69% 50.71% 50.72% 50.73% 50.74% 50.75% 50.76% 50.77% 50.78% 50.79% 50.81% 50.82% 50.83% 50.84% 50.85% 50.86% 50.87% 50.88% 50.89% 50.91% 50.92% 50.93% 50.94% 50.95% 50.96% 50.97% 50.98% 50.99% 51.01% 51.02% 51.03% 51.04% 51.05% 51.06% 51.07% 51.08% 51.09% 51.11% 51.12% 51.13% 51.14% 51.15% 51.16% 51.17% 51.18% 51.19% 51.21% 51.22% 51.23% 51.24% 51.25% 51.26% 51.27% 51.28% 51.29% 51.31% 51.32% 51.33% 51.34% 51.35% 51.36% 51.37% 51.38% 51.39% 51.41% 51.42% 51.43% 51.44% 51.45% 51.46% 51.47% 51.48% 51.49% 51.51% 51.52% 51.53% 51.54% 51.55% 51.56% 51.57% 51.58% 51.59% 51.61% 51.62% 51.63% 51.64% 51.65% 51.66% 51.67% 51.68% 51.69% 51.71% 51.72% 51.73% 51.74% 51.75% 51.76% 51.77% 51.78% 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66.09% 66.10% 66.11% 66.13% 66.14% 66.15% 66.16% 66.17% 66.18% 66.19% 66.20% 66.21% 66.23% 66.24% 66.25% 66.26% 66.27% 66.28% 66.29% 66.30% 66.31% 66.33% 66.34% 66.35% 66.36% 66.37% 66.38% 66.39% 66.40% 66.41% 66.43% 66.44% 66.45% 66.46% 66.47% 66.48% 66.49% 66.50% 66.51% 66.53% 66.54% 66.55% 66.56% 66.57% 66.58% 66.59% 66.60% 66.61% 66.63% 66.64% 66.65% 66.66% 66.67% 66.68% 66.69% 66.70% 66.71% 66.73% 66.74% 66.75% 66.76% 66.77% 66.78% 66.79% 66.80% 66.81% 66.83% 66.84% 66.85% 66.86% 66.87% 66.88% 66.89% 66.90% 66.91% 66.93% 66.94% 66.95% 66.96% 66.97% 66.98% 66.99% 67.00% 67.01% 67.03% 67.04% 67.05% 67.06% 67.07% 67.08% 67.09% 67.10% 67.11% 67.13% 67.14% 67.15% 67.16% 67.17% 67.18% 67.19% 67.20% 67.21% 67.23% 67.24% 67.25% 67.26% 67.27% 67.28% 67.29% 67.30% 67.31% 67.33% 67.34% 67.35% 67.36% 67.37% 67.38% 67.39% 67.40% 67.41% 67.43% 67.44% 67.45% 67.46% 67.47% 67.48% 67.49% 67.50% 67.51% 67.53% 67.54% 67.55% 67.56% 67.57% 67.58% 67.59% 67.60% 67.61% 67.63% 67.64% 67.65% 67.66% 67.67% 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85.16% 85.17% 85.18% 85.19% 85.20% 85.21% 85.22% 85.23% 85.25% 85.26% 85.27% 85.28% 85.29% 85.30% 85.31% 85.32% 85.33% 85.35% 85.36% 85.37% 85.38% 85.39% 85.40% 85.41% 85.42% 85.43% 85.45% 85.46% 85.47% 85.48% 85.49% 85.50% 85.51% 85.52% 85.53% 85.55% 85.56% 85.57% 85.58% 85.59% 85.60% 85.61% 85.62% 85.63% 85.65% 85.66% 85.67% 85.68% 85.69% 85.70% 85.71% 85.72% 85.73% 85.75% 85.76% 85.77% 85.78% 85.79% 85.80% 85.81% 85.82% 85.83% 85.85% 85.86% 85.87% 85.88% 85.89% 85.90% 85.91% 85.92% 85.93% 85.95% 85.96% 85.97% 85.98% 85.99% 86.00% 86.01% 86.02% 86.03% 86.05% 86.06% 86.07% 86.08% 86.09% 86.10% 86.11% 86.12% 86.13% 86.15% 86.16% 86.17% 86.18% 86.19% 86.20% 86.21% 86.22% 86.23% 86.25% 86.26% 86.27% 86.28% 86.29% 86.30% 86.31% 86.32% 86.33% 86.35% 86.36% 86.37% 86.38% 86.39% 86.40% 86.41% 86.42% 86.43% 86.45% 86.46% 86.47% 86.48% 86.49% 86.50% 86.51% 86.52% 86.53% 86.55% 86.56% 86.57% 86.58% 86.59% 86.60% 86.61% 86.62% 86.63% 86.65% 86.66% 86.67% 86.68% 86.69% 86.70% 86.71% 86.72% 86.73% 86.75% 86.76% 86.77% 86.78% 86.79% 86.80% 86.81% 86.82% 86.83% 86.85% 86.86% 86.87% 86.88% 86.89% 86.90% 86.91% 86.92% 86.93% 86.95% 86.96% 86.97% 86.98% 86.99% 87.00% 87.01% 87.02% 87.03% 87.05% 87.06% 87.07% 87.08% 87.09% 87.10% 87.11% 87.12% 87.13% 87.15% 87.16% 87.17% 87.18% 87.19% 87.20% 87.21% 87.22% 87.23% 87.25% 87.26% 87.27% 87.28% 87.29% 87.30% 87.31% 87.32% 87.33% 87.35% 87.36% 87.37% 87.38% 87.39% 87.40% 87.41% 87.42% 87.43% 87.45% 87.46% 87.47% 87.48% 87.49% 87.50% 87.51% 87.52% 87.53% 87.55% 87.56% 87.57% 87.58% 87.59% 87.60% 87.61% 87.62% 87.63% 87.65% 87.66% 87.67% 87.68% 87.69% 87.70% 87.71% 87.72% 87.73% 87.75% 87.76% 87.77% 87.78% 87.79% 87.80% 87.81% 87.82% 87.83% 87.85% 87.86% 87.87% 87.88% 87.89% 87.90% 87.91% 87.92% 87.93% 87.95% 87.96% 87.97% 87.98% 87.99% 88.00% 88.01% 88.02% 88.03% 88.05% 88.06% 88.07% 88.08% 88.09% 88.10% 88.11% 88.12% 88.13% 88.15% 88.16% 88.17% 88.18% 88.19% 88.20% 88.21% 88.22% 88.23% 88.25% 88.26% 88.27% 88.28% 88.29% 88.30% 88.31% 88.32% 88.33% 88.35% 88.36% 88.37% 88.38% 88.39% 88.40% 88.41% 88.42% 88.43% 88.45% 88.46% 88.47% 88.48% 88.49% 88.50% 88.51% 88.52% 88.53% 88.55% 88.56% 88.57% 88.58% 88.59% 88.60% 88.61% 88.62% 88.63% 88.65% 88.66% 88.67% 88.68% 88.69% 88.70% 88.71% 88.72% 88.73% 88.75% 88.76% 88.77% 88.78% 88.79% 88.80% 88.81% 88.82% 88.83% 88.85% 88.86% 88.87% 88.88% 88.89% 88.90% 88.91% 88.92% 88.93% 88.95% 88.96% 88.97% 88.98% 88.99% 89.00% 89.01% 89.02% 89.03% 89.05% 89.06% 89.07% 89.08% 89.09% 89.10% 89.11% 89.12% 89.13% 89.15% 89.16% 89.17% 89.18% 89.19% 89.20% 89.21% 89.22% 89.23% 89.25% 89.26% 89.27% 89.28% 89.29% 89.30% 89.31% 89.32% 89.33% 89.35% 89.36% 89.37% 89.38% 89.39% 89.40% 89.41% 89.42% 89.43% 89.45% 89.46% 89.47% 89.48% 89.49% 89.50% 89.51% 89.52% 89.53% 89.55% 89.56% 89.57% 89.58% 89.59% 89.60% 89.61% 89.62% 89.63% 89.65% 89.66% 89.67% 89.68% 89.69% 89.70% 89.71% 89.72% 89.73% 89.75% 89.76% 89.77% 89.78% 89.79% 89.80% 89.81% 89.82% 89.83% 89.85% 89.86% 89.87% 89.88% 89.89% 89.90% 89.91% 89.92% 89.93% 89.95% 89.96% 89.97% 89.98% 89.99% 90.00% 90.01% 90.02% 90.03% 90.05% 90.06% 90.07% 90.08% 90.09% 90.10% 90.11% 90.12% 90.13% 90.15% 90.16% 90.17% 90.18% 90.19% 90.20% 90.21% 90.22% 90.23% 90.25% 90.26% 90.27% 90.28% 90.29% 90.30% 90.31% 90.32% 90.33% 90.35% 90.36% 90.37% 90.38% 90.39% 90.40% 90.41% 90.42% 90.43% 90.45% 90.46% 90.47% 90.48% 90.49% 90.50% 90.51% 90.52% 90.53% 90.55% 90.56% 90.57% 90.58% 90.59% 90.60% 90.61% 90.62% 90.63% 90.65% 90.66% 90.67% 90.68% 90.69% 90.70% 90.71% 90.72% 90.73% 90.75% 90.76% 90.77% 90.78% 90.79% 90.80% 90.81% 90.82% 90.83% 90.85% 90.86% 90.87% 90.88% 90.89% 90.90% 90.91% 90.92% 90.93% 90.95% 90.96% 90.97% 90.98% 90.99% 91.00% 91.01% 91.02% 91.03% 91.05% 91.06% 91.07% 91.08% 91.09% 91.10% 91.11% 91.12% 91.13% 91.15% 91.16% 91.17% 91.18% 91.19% 91.20% 91.21% 91.22% 91.23% 91.25% 91.26% 91.27% 91.28% 91.29% 91.30% 91.31% 91.32% 91.33% 91.35% 91.36% 91.37% 91.38% 91.39% 91.40% 91.41% 91.42% 91.43% 91.45% 91.46% 91.47% 91.48% 91.49% 91.50% 91.51% 91.52% 91.53% 91.55% 91.56% 91.57% 91.58% 91.59% 91.60% 91.61% 91.62% 91.63% 91.65% 91.66% 91.67% 91.68% 91.69% 91.70% 91.71% 91.72% 91.73% 91.75% 91.76% 91.77% 91.78% 91.79% 91.80% 91.81% 91.82% 91.83% 91.85% 91.86% 91.87% 91.88% 91.89% 91.90% 91.91% 91.92% 91.93% 91.95% 91.96% 91.97% 91.98% 91.99% 92.00% 92.01% 92.02% 92.03% 92.05% 92.06% 92.07% 92.08% 92.09% 92.10% 92.11% 92.12% 92.13% 92.15% 92.16% 92.17% 92.18% 92.19% 92.20% 92.21% 92.22% 92.23% 92.25% 92.26% 92.27% 92.28% 92.29% 92.30% 92.31% 92.32% 92.33% 92.35% 92.36% 92.37% 92.38% 92.39% 92.40% 92.41% 92.42% 92.43% 92.45% 92.46% 92.47% 92.48% 92.49% 92.50% 92.51% 92.52% 92.53% 92.55% 92.56% 92.57% 92.58% 92.59% 92.60% 92.61% 92.62% 92.63% 92.65% 92.66% 92.67% 92.68% 92.69% 92.70% 92.71% 92.72% 92.73% 92.75% 92.76% 92.77% 92.78% 92.79% 92.80% 92.81% 92.82% 92.83% 92.85% 92.86% 92.87% 92.88% 92.89% 92.90% 92.91% 92.92% 92.93% 92.95% 92.96% 92.97% 92.98% 92.99% 93.00% 93.01% 93.02% 93.03% 93.05% 93.06% 93.07% 93.08% 93.09% 93.10% 93.11% 93.12% 93.13% 93.15% 93.16% 93.17% 93.18% 93.19% 93.20% 93.21% 93.22% 93.23% 93.25% 93.26% 93.27% 93.28% 93.29% 93.30% 93.31% 93.32% 93.33% 93.35% 93.36% 93.37% 93.38% 93.39% 93.40% 93.41% 93.42% 93.43% 93.45% 93.46% 93.47% 93.48% 93.49% 93.50% 93.51% 93.52% 93.53% 93.55% 93.56% 93.57% 93.58% 93.59% 93.60% 93.61% 93.62% 93.63% 93.65% 93.66% 93.67% 93.68% 93.69% 93.70% 93.71% 93.72% 93.73% 93.75% 93.76% 93.77% 93.78% 93.79% 93.80% 93.81% 93.82% 93.83% 93.85% 93.86% 93.87% 93.88% 93.89% 93.90% 93.91% 93.92% 93.93% 93.95% 93.96% 93.97% 93.98% 93.99% 94.00% 94.01% 94.02% 94.03% 94.05% 94.06% 94.07% 94.08% 94.09% 94.10% 94.11% 94.12% 94.13% 94.15% 94.16% 94.17% 94.18% 94.19% 94.20% 94.21% 94.22% 94.23% 94.25% 94.26% 94.27% 94.28% 94.29% 94.30% 94.31% 94.32% 94.33% 94.35% 94.36% 94.37% 94.38% 94.39% 94.40% 94.41% 94.42% 94.43% 94.45% 94.46% 94.47% 94.48% 94.49% 94.50% 94.51% 94.52% 94.53% 94.55% 94.56% 94.57% 94.58% 94.59% 94.60% 94.61% 94.62% 94.63% 94.65% 94.66% 94.67% 94.68% 94.69% 94.70% 94.71% 94.72% 94.73% 94.75% 94.76% 94.77% 94.78% 94.79% 94.80% 94.81% 94.82% 94.83% 94.85% 94.86% 94.87% 94.88% 94.89% 94.90% 94.91% 94.92% 94.93% 94.95% 94.96% 94.97% 94.98% 94.99% 95.00% 95.01% 95.02% 95.03% 95.04% 95.06% 95.07% 95.08% 95.09% 95.10% 95.11% 95.12% 95.13% 95.14% 95.16% 95.17% 95.18% 95.19% 95.20% 95.21% 95.22% 95.23% 95.24% 95.26% 95.27% 95.28% 95.29% 95.30% 95.31% 95.32% 95.33% 95.34% 95.36% 95.37% 95.38% 95.39% 95.40% 95.41% 95.42% 95.43% 95.44% 95.46% 95.47% 95.48% 95.49% 95.50% 95.51% 95.52% 95.53% 95.54% 95.56% 95.57% 95.58% 95.59% 95.60% 95.61% 95.62% 95.63% 95.64% 95.66% 95.67% 95.68% 95.69% 95.70% 95.71% 95.72% 95.73% 95.74% 95.76% 95.77% 95.78% 95.79% 95.80% 95.81% 95.82% 95.83% 95.84% 95.86% 95.87% 95.88% 95.89% 95.90% 95.91% 95.92% 95.93% 95.94% 95.96% 95.97% 95.98% 95.99% 96.00% 96.01% 96.02% 96.03% 96.04% 96.06% 96.07% 96.08% 96.09% 96.10% 96.11% 96.12% 96.13% 96.14% 96.16% 96.17% 96.18% 96.19% 96.20% 96.21% 96.22% 96.23% 96.24% 96.26% 96.27% 96.28% 96.29% 96.30% 96.31% 96.32% 96.33% 96.34% 96.36% 96.37% 96.38% 96.39% 96.40% 96.41% 96.42% 96.43% 96.44% 96.46% 96.47% 96.48% 96.49% 96.50% 96.51% 96.52% 96.53% 96.54% 96.56% 96.57% 96.58% 96.59% 96.60% 96.61% 96.62% 96.63% 96.64% 96.66% 96.67% 96.68% 96.69% 96.70% 96.71% 96.72% 96.73% 96.74% 96.76% 96.77% 96.78% 96.79% 96.80% 96.81% 96.82% 96.83% 96.84% 96.86% 96.87% 96.88% 96.89% 96.90% 96.91% 96.92% 96.93% 96.94% 96.96% 96.97% 96.98% 96.99% 97.00% 97.01% 97.02% 97.03% 97.04% 97.06% 97.07% 97.08% 97.09% 97.10% 97.11% 97.12% 97.13% 97.14% 97.16% 97.17% 97.18% 97.19% 97.20% 97.21% 97.22% 97.23% 97.24% 97.26% 97.27% 97.28% 97.29% 97.30% 97.31% 97.32% 97.33% 97.34% 97.36% 97.37% 97.38% 97.39% 97.40% 97.41% 97.42% 97.43% 97.44% 97.46% 97.47% 97.48% 97.49% 97.50% 97.51% 97.52% 97.53% 97.54% 97.56% 97.57% 97.58% 97.59% 97.60% 97.61% 97.62% 97.63% 97.64% 97.66% 97.67% 97.68% 97.69% 97.70% 97.71% 97.72% 97.73% 97.74% 97.76% 97.77% 97.78% 97.79% 97.80% 97.81% 97.82% 97.83% 97.84% 97.86% 97.87% 97.88% 97.89% 97.90% 97.91% 97.92% 97.93% 97.94% 97.96% 97.97% 97.98% 97.99% 98.00% 98.01% 98.02% 98.03% 98.04% 98.06% 98.07% 98.08% 98.09% 98.10% 98.11% 98.12% 98.13% 98.14% 98.16% 98.17% 98.18% 98.19% 98.20% 98.21% 98.22% 98.23% 98.24% 98.26% 98.27% 98.28% 98.29% 98.30% 98.31% 98.32% 98.33% 98.34% 98.36% 98.37% 98.38% 98.39% 98.40% 98.41% 98.42% 98.43% 98.44% 98.46% 98.47% 98.48% 98.49% 98.50% 98.51% 98.52% 98.53% 98.54% 98.56% 98.57% 98.58% 98.59% 98.60% 98.61% 98.62% 98.63% 98.64% 98.66% 98.67% 98.68% 98.69% 98.70% 98.71% 98.72% 98.73% 98.74% 98.76% 98.77% 98.78% 98.79% 98.80% 98.81% 98.82% 98.83% 98.84% 98.86% 98.87% 98.88% 98.89% 98.90% 98.91% 98.92% 98.93% 98.94% 98.96% 98.97% 98.98% 98.99% 99.00% 99.01% 99.02% 99.03% 99.04% 99.06% 99.07% 99.08% 99.09% 99.10% 99.11% 99.12% 99.13% 99.14% 99.16% 99.17% 99.18% 99.19% 99.20% 99.21% 99.22% 99.23% 99.24% 99.26% 99.27% 99.28% 99.29% 99.30% 99.31% 99.32% 99.33% 99.34% 99.36% 99.37% 99.38% 99.39% 99.40% 99.41% 99.42% 99.43% 99.44% 99.46% 99.47% 99.48% 99.49% 99.50% 99.51% 99.52% 99.53% 99.54% 99.56% 99.57% 99.58% 99.59% 99.60% 99.61% 99.62% 99.63% 99.64% 99.66% 99.67% 99.68% 99.69% 99.70% 99.71% 99.72% 99.73% 99.74% 99.76% 99.77% 99.78% 99.79% 99.80% 99.81% 99.82% 99.83% 99.84% 99.86% 99.87% 99.88% 99.89% 99.90% 99.91% 99.92% 99.93% 99.94% 99.96% 99.97% 99.98% 99.99% 100.00% Adding p-values adjusted for testing multiple hypotheses Gene-wise counting and Fisher's exact tests for trait: Bogus_trait 0.00% 0.01% 0.02% 0.03% 0.04% 0.06% 0.07% 0.08% 0.09% 0.10% 0.11% 0.12% 0.13% 0.14% 0.16% 0.17% 0.18% 0.19% 0.20% 0.21% 0.22% 0.23% 0.24% 0.26% 0.27% 0.28% 0.29% 0.30% 0.31% 0.32% 0.33% 0.34% 0.36% 0.37% 0.38% 0.39% 0.40% 0.41% 0.42% 0.43% 0.44% 0.46% 0.47% 0.48% 0.49% 0.50% 0.51% 0.52% 0.53% 0.54% 0.56% 0.57% 0.58% 0.59% 0.60% 0.61% 0.62% 0.63% 0.64% 0.66% 0.67% 0.68% 0.69% 0.70% 0.71% 0.72% 0.73% 0.74% 0.76% 0.77% 0.78% 0.79% 0.80% 0.81% 0.82% 0.83% 0.84% 0.86% 0.87% 0.88% 0.89% 0.90% 0.91% 0.92% 0.93% 0.94% 0.96% 0.97% 0.98% 0.99% 1.00% 1.01% 1.02% 1.03% 1.04% 1.06% 1.07% 1.08% 1.09% 1.10% 1.11% 1.12% 1.13% 1.14% 1.16% 1.17% 1.18% 1.19% 1.20% 1.21% 1.22% 1.23% 1.24% 1.26% 1.27% 1.28% 1.29% 1.30% 1.31% 1.32% 1.33% 1.34% 1.36% 1.37% 1.38% 1.39% 1.40% 1.41% 1.42% 1.43% 1.44% 1.46% 1.47% 1.48% 1.49% 1.50% 1.51% 1.52% 1.53% 1.54% 1.56% 1.57% 1.58% 1.59% 1.60% 1.61% 1.62% 1.63% 1.64% 1.66% 1.67% 1.68% 1.69% 1.70% 1.71% 1.72% 1.73% 1.74% 1.76% 1.77% 1.78% 1.79% 1.80% 1.81% 1.82% 1.83% 1.84% 1.86% 1.87% 1.88% 1.89% 1.90% 1.91% 1.92% 1.93% 1.94% 1.96% 1.97% 1.98% 1.99% 2.00% 2.01% 2.02% 2.03% 2.04% 2.06% 2.07% 2.08% 2.09% 2.10% 2.11% 2.12% 2.13% 2.14% 2.16% 2.17% 2.18% 2.19% 2.20% 2.21% 2.22% 2.23% 2.24% 2.26% 2.27% 2.28% 2.29% 2.30% 2.31% 2.32% 2.33% 2.34% 2.36% 2.37% 2.38% 2.39% 2.40% 2.41% 2.42% 2.43% 2.44% 2.46% 2.47% 2.48% 2.49% 2.50% 2.51% 2.52% 2.53% 2.54% 2.56% 2.57% 2.58% 2.59% 2.60% 2.61% 2.62% 2.63% 2.64% 2.66% 2.67% 2.68% 2.69% 2.70% 2.71% 2.72% 2.73% 2.74% 2.76% 2.77% 2.78% 2.79% 2.80% 2.81% 2.82% 2.83% 2.84% 2.86% 2.87% 2.88% 2.89% 2.90% 2.91% 2.92% 2.93% 2.94% 2.96% 2.97% 2.98% 2.99% 3.00% 3.01% 3.02% 3.03% 3.04% 3.06% 3.07% 3.08% 3.09% 3.10% 3.11% 3.12% 3.13% 3.14% 3.16% 3.17% 3.18% 3.19% 3.20% 3.21% 3.22% 3.23% 3.24% 3.26% 3.27% 3.28% 3.29% 3.30% 3.31% 3.32% 3.33% 3.34% 3.36% 3.37% 3.38% 3.39% 3.40% 3.41% 3.42% 3.43% 3.44% 3.46% 3.47% 3.48% 3.49% 3.50% 3.51% 3.52% 3.53% 3.54% 3.56% 3.57% 3.58% 3.59% 3.60% 3.61% 3.62% 3.63% 3.64% 3.66% 3.67% 3.68% 3.69% 3.70% 3.71% 3.72% 3.73% 3.74% 3.76% 3.77% 3.78% 3.79% 3.80% 3.81% 3.82% 3.83% 3.84% 3.86% 3.87% 3.88% 3.89% 3.90% 3.91% 3.92% 3.93% 3.94% 3.96% 3.97% 3.98% 3.99% 4.00% 4.01% 4.02% 4.03% 4.04% 4.06% 4.07% 4.08% 4.09% 4.10% 4.11% 4.12% 4.13% 4.14% 4.16% 4.17% 4.18% 4.19% 4.20% 4.21% 4.22% 4.23% 4.24% 4.26% 4.27% 4.28% 4.29% 4.30% 4.31% 4.32% 4.33% 4.34% 4.36% 4.37% 4.38% 4.39% 4.40% 4.41% 4.42% 4.43% 4.44% 4.46% 4.47% 4.48% 4.49% 4.50% 4.51% 4.52% 4.53% 4.54% 4.56% 4.57% 4.58% 4.59% 4.60% 4.61% 4.62% 4.63% 4.64% 4.66% 4.67% 4.68% 4.69% 4.70% 4.71% 4.72% 4.73% 4.74% 4.76% 4.77% 4.78% 4.79% 4.80% 4.81% 4.82% 4.83% 4.84% 4.86% 4.87% 4.88% 4.89% 4.90% 4.91% 4.92% 4.93% 4.94% 4.96% 4.97% 4.98% 4.99% 5.00% 5.01% 5.02% 5.03% 5.04% 5.05% 5.07% 5.08% 5.09% 5.10% 5.11% 5.12% 5.13% 5.14% 5.15% 5.17% 5.18% 5.19% 5.20% 5.21% 5.22% 5.23% 5.24% 5.25% 5.27% 5.28% 5.29% 5.30% 5.31% 5.32% 5.33% 5.34% 5.35% 5.37% 5.38% 5.39% 5.40% 5.41% 5.42% 5.43% 5.44% 5.45% 5.47% 5.48% 5.49% 5.50% 5.51% 5.52% 5.53% 5.54% 5.55% 5.57% 5.58% 5.59% 5.60% 5.61% 5.62% 5.63% 5.64% 5.65% 5.67% 5.68% 5.69% 5.70% 5.71% 5.72% 5.73% 5.74% 5.75% 5.77% 5.78% 5.79% 5.80% 5.81% 5.82% 5.83% 5.84% 5.85% 5.87% 5.88% 5.89% 5.90% 5.91% 5.92% 5.93% 5.94% 5.95% 5.97% 5.98% 5.99% 6.00% 6.01% 6.02% 6.03% 6.04% 6.05% 6.07% 6.08% 6.09% 6.10% 6.11% 6.12% 6.13% 6.14% 6.15% 6.17% 6.18% 6.19% 6.20% 6.21% 6.22% 6.23% 6.24% 6.25% 6.27% 6.28% 6.29% 6.30% 6.31% 6.32% 6.33% 6.34% 6.35% 6.37% 6.38% 6.39% 6.40% 6.41% 6.42% 6.43% 6.44% 6.45% 6.47% 6.48% 6.49% 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24.46% 24.48% 24.49% 24.50% 24.51% 24.52% 24.53% 24.54% 24.55% 24.56% 24.58% 24.59% 24.60% 24.61% 24.62% 24.63% 24.64% 24.65% 24.66% 24.68% 24.69% 24.70% 24.71% 24.72% 24.73% 24.74% 24.75% 24.76% 24.78% 24.79% 24.80% 24.81% 24.82% 24.83% 24.84% 24.85% 24.86% 24.88% 24.89% 24.90% 24.91% 24.92% 24.93% 24.94% 24.95% 24.96% 24.98% 24.99% 25.00% 25.01% 25.02% 25.03% 25.04% 25.05% 25.06% 25.07% 25.09% 25.10% 25.11% 25.12% 25.13% 25.14% 25.15% 25.16% 25.17% 25.19% 25.20% 25.21% 25.22% 25.23% 25.24% 25.25% 25.26% 25.27% 25.29% 25.30% 25.31% 25.32% 25.33% 25.34% 25.35% 25.36% 25.37% 25.39% 25.40% 25.41% 25.42% 25.43% 25.44% 25.45% 25.46% 25.47% 25.49% 25.50% 25.51% 25.52% 25.53% 25.54% 25.55% 25.56% 25.57% 25.59% 25.60% 25.61% 25.62% 25.63% 25.64% 25.65% 25.66% 25.67% 25.69% 25.70% 25.71% 25.72% 25.73% 25.74% 25.75% 25.76% 25.77% 25.79% 25.80% 25.81% 25.82% 25.83% 25.84% 25.85% 25.86% 25.87% 25.89% 25.90% 25.91% 25.92% 25.93% 25.94% 25.95% 25.96% 25.97% 25.99% 26.00% 26.01% 26.02% 26.03% 26.04% 26.05% 26.06% 26.07% 26.09% 26.10% 26.11% 26.12% 26.13% 26.14% 26.15% 26.16% 26.17% 26.19% 26.20% 26.21% 26.22% 26.23% 26.24% 26.25% 26.26% 26.27% 26.29% 26.30% 26.31% 26.32% 26.33% 26.34% 26.35% 26.36% 26.37% 26.39% 26.40% 26.41% 26.42% 26.43% 26.44% 26.45% 26.46% 26.47% 26.49% 26.50% 26.51% 26.52% 26.53% 26.54% 26.55% 26.56% 26.57% 26.59% 26.60% 26.61% 26.62% 26.63% 26.64% 26.65% 26.66% 26.67% 26.69% 26.70% 26.71% 26.72% 26.73% 26.74% 26.75% 26.76% 26.77% 26.79% 26.80% 26.81% 26.82% 26.83% 26.84% 26.85% 26.86% 26.87% 26.89% 26.90% 26.91% 26.92% 26.93% 26.94% 26.95% 26.96% 26.97% 26.99% 27.00% 27.01% 27.02% 27.03% 27.04% 27.05% 27.06% 27.07% 27.09% 27.10% 27.11% 27.12% 27.13% 27.14% 27.15% 27.16% 27.17% 27.19% 27.20% 27.21% 27.22% 27.23% 27.24% 27.25% 27.26% 27.27% 27.29% 27.30% 27.31% 27.32% 27.33% 27.34% 27.35% 27.36% 27.37% 27.39% 27.40% 27.41% 27.42% 27.43% 27.44% 27.45% 27.46% 27.47% 27.49% 27.50% 27.51% 27.52% 27.53% 27.54% 27.55% 27.56% 27.57% 27.59% 27.60% 27.61% 27.62% 27.63% 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29.23% 29.24% 29.25% 29.26% 29.27% 29.29% 29.30% 29.31% 29.32% 29.33% 29.34% 29.35% 29.36% 29.37% 29.39% 29.40% 29.41% 29.42% 29.43% 29.44% 29.45% 29.46% 29.47% 29.49% 29.50% 29.51% 29.52% 29.53% 29.54% 29.55% 29.56% 29.57% 29.59% 29.60% 29.61% 29.62% 29.63% 29.64% 29.65% 29.66% 29.67% 29.69% 29.70% 29.71% 29.72% 29.73% 29.74% 29.75% 29.76% 29.77% 29.79% 29.80% 29.81% 29.82% 29.83% 29.84% 29.85% 29.86% 29.87% 29.89% 29.90% 29.91% 29.92% 29.93% 29.94% 29.95% 29.96% 29.97% 29.99% 30.00% 30.01% 30.02% 30.03% 30.04% 30.05% 30.06% 30.07% 30.09% 30.10% 30.11% 30.12% 30.13% 30.14% 30.15% 30.16% 30.17% 30.19% 30.20% 30.21% 30.22% 30.23% 30.24% 30.25% 30.26% 30.27% 30.29% 30.30% 30.31% 30.32% 30.33% 30.34% 30.35% 30.36% 30.37% 30.39% 30.40% 30.41% 30.42% 30.43% 30.44% 30.45% 30.46% 30.47% 30.49% 30.50% 30.51% 30.52% 30.53% 30.54% 30.55% 30.56% 30.57% 30.59% 30.60% 30.61% 30.62% 30.63% 30.64% 30.65% 30.66% 30.67% 30.69% 30.70% 30.71% 30.72% 30.73% 30.74% 30.75% 30.76% 30.77% 30.79% 30.80% 30.81% 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34.00% 34.01% 34.02% 34.03% 34.04% 34.05% 34.06% 34.07% 34.09% 34.10% 34.11% 34.12% 34.13% 34.14% 34.15% 34.16% 34.17% 34.19% 34.20% 34.21% 34.22% 34.23% 34.24% 34.25% 34.26% 34.27% 34.29% 34.30% 34.31% 34.32% 34.33% 34.34% 34.35% 34.36% 34.37% 34.39% 34.40% 34.41% 34.42% 34.43% 34.44% 34.45% 34.46% 34.47% 34.49% 34.50% 34.51% 34.52% 34.53% 34.54% 34.55% 34.56% 34.57% 34.59% 34.60% 34.61% 34.62% 34.63% 34.64% 34.65% 34.66% 34.67% 34.69% 34.70% 34.71% 34.72% 34.73% 34.74% 34.75% 34.76% 34.77% 34.79% 34.80% 34.81% 34.82% 34.83% 34.84% 34.85% 34.86% 34.87% 34.89% 34.90% 34.91% 34.92% 34.93% 34.94% 34.95% 34.96% 34.97% 34.99% 35.00% 35.01% 35.02% 35.03% 35.04% 35.05% 35.06% 35.07% 35.08% 35.10% 35.11% 35.12% 35.13% 35.14% 35.15% 35.16% 35.17% 35.18% 35.20% 35.21% 35.22% 35.23% 35.24% 35.25% 35.26% 35.27% 35.28% 35.30% 35.31% 35.32% 35.33% 35.34% 35.35% 35.36% 35.37% 35.38% 35.40% 35.41% 35.42% 35.43% 35.44% 35.45% 35.46% 35.47% 35.48% 35.50% 35.51% 35.52% 35.53% 35.54% 35.55% 35.56% 35.57% 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78.48% 78.49% 78.50% 78.51% 78.52% 78.54% 78.55% 78.56% 78.57% 78.58% 78.59% 78.60% 78.61% 78.62% 78.64% 78.65% 78.66% 78.67% 78.68% 78.69% 78.70% 78.71% 78.72% 78.74% 78.75% 78.76% 78.77% 78.78% 78.79% 78.80% 78.81% 78.82% 78.84% 78.85% 78.86% 78.87% 78.88% 78.89% 78.90% 78.91% 78.92% 78.94% 78.95% 78.96% 78.97% 78.98% 78.99% 79.00% 79.01% 79.02% 79.04% 79.05% 79.06% 79.07% 79.08% 79.09% 79.10% 79.11% 79.12% 79.14% 79.15% 79.16% 79.17% 79.18% 79.19% 79.20% 79.21% 79.22% 79.24% 79.25% 79.26% 79.27% 79.28% 79.29% 79.30% 79.31% 79.32% 79.34% 79.35% 79.36% 79.37% 79.38% 79.39% 79.40% 79.41% 79.42% 79.44% 79.45% 79.46% 79.47% 79.48% 79.49% 79.50% 79.51% 79.52% 79.54% 79.55% 79.56% 79.57% 79.58% 79.59% 79.60% 79.61% 79.62% 79.64% 79.65% 79.66% 79.67% 79.68% 79.69% 79.70% 79.71% 79.72% 79.74% 79.75% 79.76% 79.77% 79.78% 79.79% 79.80% 79.81% 79.82% 79.84% 79.85% 79.86% 79.87% 79.88% 79.89% 79.90% 79.91% 79.92% 79.94% 79.95% 79.96% 79.97% 79.98% 79.99% 80.00% 80.01% 80.02% 80.04% 80.05% 80.06% 80.07% 80.08% 80.09% 80.10% 80.11% 80.12% 80.14% 80.15% 80.16% 80.17% 80.18% 80.19% 80.20% 80.21% 80.22% 80.24% 80.25% 80.26% 80.27% 80.28% 80.29% 80.30% 80.31% 80.32% 80.34% 80.35% 80.36% 80.37% 80.38% 80.39% 80.40% 80.41% 80.42% 80.44% 80.45% 80.46% 80.47% 80.48% 80.49% 80.50% 80.51% 80.52% 80.54% 80.55% 80.56% 80.57% 80.58% 80.59% 80.60% 80.61% 80.62% 80.64% 80.65% 80.66% 80.67% 80.68% 80.69% 80.70% 80.71% 80.72% 80.74% 80.75% 80.76% 80.77% 80.78% 80.79% 80.80% 80.81% 80.82% 80.84% 80.85% 80.86% 80.87% 80.88% 80.89% 80.90% 80.91% 80.92% 80.94% 80.95% 80.96% 80.97% 80.98% 80.99% 81.00% 81.01% 81.02% 81.04% 81.05% 81.06% 81.07% 81.08% 81.09% 81.10% 81.11% 81.12% 81.14% 81.15% 81.16% 81.17% 81.18% 81.19% 81.20% 81.21% 81.22% 81.24% 81.25% 81.26% 81.27% 81.28% 81.29% 81.30% 81.31% 81.32% 81.34% 81.35% 81.36% 81.37% 81.38% 81.39% 81.40% 81.41% 81.42% 81.44% 81.45% 81.46% 81.47% 81.48% 81.49% 81.50% 81.51% 81.52% 81.54% 81.55% 81.56% 81.57% 81.58% 81.59% 81.60% 81.61% 81.62% 81.64% 81.65% 81.66% 81.67% 81.68% 81.69% 81.70% 81.71% 81.72% 81.74% 81.75% 81.76% 81.77% 81.78% 81.79% 81.80% 81.81% 81.82% 81.84% 81.85% 81.86% 81.87% 81.88% 81.89% 81.90% 81.91% 81.92% 81.94% 81.95% 81.96% 81.97% 81.98% 81.99% 82.00% 82.01% 82.02% 82.04% 82.05% 82.06% 82.07% 82.08% 82.09% 82.10% 82.11% 82.12% 82.14% 82.15% 82.16% 82.17% 82.18% 82.19% 82.20% 82.21% 82.22% 82.24% 82.25% 82.26% 82.27% 82.28% 82.29% 82.30% 82.31% 82.32% 82.34% 82.35% 82.36% 82.37% 82.38% 82.39% 82.40% 82.41% 82.42% 82.44% 82.45% 82.46% 82.47% 82.48% 82.49% 82.50% 82.51% 82.52% 82.54% 82.55% 82.56% 82.57% 82.58% 82.59% 82.60% 82.61% 82.62% 82.64% 82.65% 82.66% 82.67% 82.68% 82.69% 82.70% 82.71% 82.72% 82.74% 82.75% 82.76% 82.77% 82.78% 82.79% 82.80% 82.81% 82.82% 82.84% 82.85% 82.86% 82.87% 82.88% 82.89% 82.90% 82.91% 82.92% 82.94% 82.95% 82.96% 82.97% 82.98% 82.99% 83.00% 83.01% 83.02% 83.04% 83.05% 83.06% 83.07% 83.08% 83.09% 83.10% 83.11% 83.12% 83.14% 83.15% 83.16% 83.17% 83.18% 83.19% 83.20% 83.21% 83.22% 83.24% 83.25% 83.26% 83.27% 83.28% 83.29% 83.30% 83.31% 83.32% 83.34% 83.35% 83.36% 83.37% 83.38% 83.39% 83.40% 83.41% 83.42% 83.44% 83.45% 83.46% 83.47% 83.48% 83.49% 83.50% 83.51% 83.52% 83.54% 83.55% 83.56% 83.57% 83.58% 83.59% 83.60% 83.61% 83.62% 83.64% 83.65% 83.66% 83.67% 83.68% 83.69% 83.70% 83.71% 83.72% 83.74% 83.75% 83.76% 83.77% 83.78% 83.79% 83.80% 83.81% 83.82% 83.84% 83.85% 83.86% 83.87% 83.88% 83.89% 83.90% 83.91% 83.92% 83.94% 83.95% 83.96% 83.97% 83.98% 83.99% 84.00% 84.01% 84.02% 84.04% 84.05% 84.06% 84.07% 84.08% 84.09% 84.10% 84.11% 84.12% 84.14% 84.15% 84.16% 84.17% 84.18% 84.19% 84.20% 84.21% 84.22% 84.24% 84.25% 84.26% 84.27% 84.28% 84.29% 84.30% 84.31% 84.32% 84.34% 84.35% 84.36% 84.37% 84.38% 84.39% 84.40% 84.41% 84.42% 84.44% 84.45% 84.46% 84.47% 84.48% 84.49% 84.50% 84.51% 84.52% 84.54% 84.55% 84.56% 84.57% 84.58% 84.59% 84.60% 84.61% 84.62% 84.64% 84.65% 84.66% 84.67% 84.68% 84.69% 84.70% 84.71% 84.72% 84.74% 84.75% 84.76% 84.77% 84.78% 84.79% 84.80% 84.81% 84.82% 84.84% 84.85% 84.86% 84.87% 84.88% 84.89% 84.90% 84.91% 84.92% 84.94% 84.95% 84.96% 84.97% 84.98% 84.99% 85.00% 85.01% 85.02% 85.03% 85.05% 85.06% 85.07% 85.08% 85.09% 85.10% 85.11% 85.12% 85.13% 85.15% 85.16% 85.17% 85.18% 85.19% 85.20% 85.21% 85.22% 85.23% 85.25% 85.26% 85.27% 85.28% 85.29% 85.30% 85.31% 85.32% 85.33% 85.35% 85.36% 85.37% 85.38% 85.39% 85.40% 85.41% 85.42% 85.43% 85.45% 85.46% 85.47% 85.48% 85.49% 85.50% 85.51% 85.52% 85.53% 85.55% 85.56% 85.57% 85.58% 85.59% 85.60% 85.61% 85.62% 85.63% 85.65% 85.66% 85.67% 85.68% 85.69% 85.70% 85.71% 85.72% 85.73% 85.75% 85.76% 85.77% 85.78% 85.79% 85.80% 85.81% 85.82% 85.83% 85.85% 85.86% 85.87% 85.88% 85.89% 85.90% 85.91% 85.92% 85.93% 85.95% 85.96% 85.97% 85.98% 85.99% 86.00% 86.01% 86.02% 86.03% 86.05% 86.06% 86.07% 86.08% 86.09% 86.10% 86.11% 86.12% 86.13% 86.15% 86.16% 86.17% 86.18% 86.19% 86.20% 86.21% 86.22% 86.23% 86.25% 86.26% 86.27% 86.28% 86.29% 86.30% 86.31% 86.32% 86.33% 86.35% 86.36% 86.37% 86.38% 86.39% 86.40% 86.41% 86.42% 86.43% 86.45% 86.46% 86.47% 86.48% 86.49% 86.50% 86.51% 86.52% 86.53% 86.55% 86.56% 86.57% 86.58% 86.59% 86.60% 86.61% 86.62% 86.63% 86.65% 86.66% 86.67% 86.68% 86.69% 86.70% 86.71% 86.72% 86.73% 86.75% 86.76% 86.77% 86.78% 86.79% 86.80% 86.81% 86.82% 86.83% 86.85% 86.86% 86.87% 86.88% 86.89% 86.90% 86.91% 86.92% 86.93% 86.95% 86.96% 86.97% 86.98% 86.99% 87.00% 87.01% 87.02% 87.03% 87.05% 87.06% 87.07% 87.08% 87.09% 87.10% 87.11% 87.12% 87.13% 87.15% 87.16% 87.17% 87.18% 87.19% 87.20% 87.21% 87.22% 87.23% 87.25% 87.26% 87.27% 87.28% 87.29% 87.30% 87.31% 87.32% 87.33% 87.35% 87.36% 87.37% 87.38% 87.39% 87.40% 87.41% 87.42% 87.43% 87.45% 87.46% 87.47% 87.48% 87.49% 87.50% 87.51% 87.52% 87.53% 87.55% 87.56% 87.57% 87.58% 87.59% 87.60% 87.61% 87.62% 87.63% 87.65% 87.66% 87.67% 87.68% 87.69% 87.70% 87.71% 87.72% 87.73% 87.75% 87.76% 87.77% 87.78% 87.79% 87.80% 87.81% 87.82% 87.83% 87.85% 87.86% 87.87% 87.88% 87.89% 87.90% 87.91% 87.92% 87.93% 87.95% 87.96% 87.97% 87.98% 87.99% 88.00% 88.01% 88.02% 88.03% 88.05% 88.06% 88.07% 88.08% 88.09% 88.10% 88.11% 88.12% 88.13% 88.15% 88.16% 88.17% 88.18% 88.19% 88.20% 88.21% 88.22% 88.23% 88.25% 88.26% 88.27% 88.28% 88.29% 88.30% 88.31% 88.32% 88.33% 88.35% 88.36% 88.37% 88.38% 88.39% 88.40% 88.41% 88.42% 88.43% 88.45% 88.46% 88.47% 88.48% 88.49% 88.50% 88.51% 88.52% 88.53% 88.55% 88.56% 88.57% 88.58% 88.59% 88.60% 88.61% 88.62% 88.63% 88.65% 88.66% 88.67% 88.68% 88.69% 88.70% 88.71% 88.72% 88.73% 88.75% 88.76% 88.77% 88.78% 88.79% 88.80% 88.81% 88.82% 88.83% 88.85% 88.86% 88.87% 88.88% 88.89% 88.90% 88.91% 88.92% 88.93% 88.95% 88.96% 88.97% 88.98% 88.99% 89.00% 89.01% 89.02% 89.03% 89.05% 89.06% 89.07% 89.08% 89.09% 89.10% 89.11% 89.12% 89.13% 89.15% 89.16% 89.17% 89.18% 89.19% 89.20% 89.21% 89.22% 89.23% 89.25% 89.26% 89.27% 89.28% 89.29% 89.30% 89.31% 89.32% 89.33% 89.35% 89.36% 89.37% 89.38% 89.39% 89.40% 89.41% 89.42% 89.43% 89.45% 89.46% 89.47% 89.48% 89.49% 89.50% 89.51% 89.52% 89.53% 89.55% 89.56% 89.57% 89.58% 89.59% 89.60% 89.61% 89.62% 89.63% 89.65% 89.66% 89.67% 89.68% 89.69% 89.70% 89.71% 89.72% 89.73% 89.75% 89.76% 89.77% 89.78% 89.79% 89.80% 89.81% 89.82% 89.83% 89.85% 89.86% 89.87% 89.88% 89.89% 89.90% 89.91% 89.92% 89.93% 89.95% 89.96% 89.97% 89.98% 89.99% 90.00% 90.01% 90.02% 90.03% 90.05% 90.06% 90.07% 90.08% 90.09% 90.10% 90.11% 90.12% 90.13% 90.15% 90.16% 90.17% 90.18% 90.19% 90.20% 90.21% 90.22% 90.23% 90.25% 90.26% 90.27% 90.28% 90.29% 90.30% 90.31% 90.32% 90.33% 90.35% 90.36% 90.37% 90.38% 90.39% 90.40% 90.41% 90.42% 90.43% 90.45% 90.46% 90.47% 90.48% 90.49% 90.50% 90.51% 90.52% 90.53% 90.55% 90.56% 90.57% 90.58% 90.59% 90.60% 90.61% 90.62% 90.63% 90.65% 90.66% 90.67% 90.68% 90.69% 90.70% 90.71% 90.72% 90.73% 90.75% 90.76% 90.77% 90.78% 90.79% 90.80% 90.81% 90.82% 90.83% 90.85% 90.86% 90.87% 90.88% 90.89% 90.90% 90.91% 90.92% 90.93% 90.95% 90.96% 90.97% 90.98% 90.99% 91.00% 91.01% 91.02% 91.03% 91.05% 91.06% 91.07% 91.08% 91.09% 91.10% 91.11% 91.12% 91.13% 91.15% 91.16% 91.17% 91.18% 91.19% 91.20% 91.21% 91.22% 91.23% 91.25% 91.26% 91.27% 91.28% 91.29% 91.30% 91.31% 91.32% 91.33% 91.35% 91.36% 91.37% 91.38% 91.39% 91.40% 91.41% 91.42% 91.43% 91.45% 91.46% 91.47% 91.48% 91.49% 91.50% 91.51% 91.52% 91.53% 91.55% 91.56% 91.57% 91.58% 91.59% 91.60% 91.61% 91.62% 91.63% 91.65% 91.66% 91.67% 91.68% 91.69% 91.70% 91.71% 91.72% 91.73% 91.75% 91.76% 91.77% 91.78% 91.79% 91.80% 91.81% 91.82% 91.83% 91.85% 91.86% 91.87% 91.88% 91.89% 91.90% 91.91% 91.92% 91.93% 91.95% 91.96% 91.97% 91.98% 91.99% 92.00% 92.01% 92.02% 92.03% 92.05% 92.06% 92.07% 92.08% 92.09% 92.10% 92.11% 92.12% 92.13% 92.15% 92.16% 92.17% 92.18% 92.19% 92.20% 92.21% 92.22% 92.23% 92.25% 92.26% 92.27% 92.28% 92.29% 92.30% 92.31% 92.32% 92.33% 92.35% 92.36% 92.37% 92.38% 92.39% 92.40% 92.41% 92.42% 92.43% 92.45% 92.46% 92.47% 92.48% 92.49% 92.50% 92.51% 92.52% 92.53% 92.55% 92.56% 92.57% 92.58% 92.59% 92.60% 92.61% 92.62% 92.63% 92.65% 92.66% 92.67% 92.68% 92.69% 92.70% 92.71% 92.72% 92.73% 92.75% 92.76% 92.77% 92.78% 92.79% 92.80% 92.81% 92.82% 92.83% 92.85% 92.86% 92.87% 92.88% 92.89% 92.90% 92.91% 92.92% 92.93% 92.95% 92.96% 92.97% 92.98% 92.99% 93.00% 93.01% 93.02% 93.03% 93.05% 93.06% 93.07% 93.08% 93.09% 93.10% 93.11% 93.12% 93.13% 93.15% 93.16% 93.17% 93.18% 93.19% 93.20% 93.21% 93.22% 93.23% 93.25% 93.26% 93.27% 93.28% 93.29% 93.30% 93.31% 93.32% 93.33% 93.35% 93.36% 93.37% 93.38% 93.39% 93.40% 93.41% 93.42% 93.43% 93.45% 93.46% 93.47% 93.48% 93.49% 93.50% 93.51% 93.52% 93.53% 93.55% 93.56% 93.57% 93.58% 93.59% 93.60% 93.61% 93.62% 93.63% 93.65% 93.66% 93.67% 93.68% 93.69% 93.70% 93.71% 93.72% 93.73% 93.75% 93.76% 93.77% 93.78% 93.79% 93.80% 93.81% 93.82% 93.83% 93.85% 93.86% 93.87% 93.88% 93.89% 93.90% 93.91% 93.92% 93.93% 93.95% 93.96% 93.97% 93.98% 93.99% 94.00% 94.01% 94.02% 94.03% 94.05% 94.06% 94.07% 94.08% 94.09% 94.10% 94.11% 94.12% 94.13% 94.15% 94.16% 94.17% 94.18% 94.19% 94.20% 94.21% 94.22% 94.23% 94.25% 94.26% 94.27% 94.28% 94.29% 94.30% 94.31% 94.32% 94.33% 94.35% 94.36% 94.37% 94.38% 94.39% 94.40% 94.41% 94.42% 94.43% 94.45% 94.46% 94.47% 94.48% 94.49% 94.50% 94.51% 94.52% 94.53% 94.55% 94.56% 94.57% 94.58% 94.59% 94.60% 94.61% 94.62% 94.63% 94.65% 94.66% 94.67% 94.68% 94.69% 94.70% 94.71% 94.72% 94.73% 94.75% 94.76% 94.77% 94.78% 94.79% 94.80% 94.81% 94.82% 94.83% 94.85% 94.86% 94.87% 94.88% 94.89% 94.90% 94.91% 94.92% 94.93% 94.95% 94.96% 94.97% 94.98% 94.99% 95.00% 95.01% 95.02% 95.03% 95.04% 95.06% 95.07% 95.08% 95.09% 95.10% 95.11% 95.12% 95.13% 95.14% 95.16% 95.17% 95.18% 95.19% 95.20% 95.21% 95.22% 95.23% 95.24% 95.26% 95.27% 95.28% 95.29% 95.30% 95.31% 95.32% 95.33% 95.34% 95.36% 95.37% 95.38% 95.39% 95.40% 95.41% 95.42% 95.43% 95.44% 95.46% 95.47% 95.48% 95.49% 95.50% 95.51% 95.52% 95.53% 95.54% 95.56% 95.57% 95.58% 95.59% 95.60% 95.61% 95.62% 95.63% 95.64% 95.66% 95.67% 95.68% 95.69% 95.70% 95.71% 95.72% 95.73% 95.74% 95.76% 95.77% 95.78% 95.79% 95.80% 95.81% 95.82% 95.83% 95.84% 95.86% 95.87% 95.88% 95.89% 95.90% 95.91% 95.92% 95.93% 95.94% 95.96% 95.97% 95.98% 95.99% 96.00% 96.01% 96.02% 96.03% 96.04% 96.06% 96.07% 96.08% 96.09% 96.10% 96.11% 96.12% 96.13% 96.14% 96.16% 96.17% 96.18% 96.19% 96.20% 96.21% 96.22% 96.23% 96.24% 96.26% 96.27% 96.28% 96.29% 96.30% 96.31% 96.32% 96.33% 96.34% 96.36% 96.37% 96.38% 96.39% 96.40% 96.41% 96.42% 96.43% 96.44% 96.46% 96.47% 96.48% 96.49% 96.50% 96.51% 96.52% 96.53% 96.54% 96.56% 96.57% 96.58% 96.59% 96.60% 96.61% 96.62% 96.63% 96.64% 96.66% 96.67% 96.68% 96.69% 96.70% 96.71% 96.72% 96.73% 96.74% 96.76% 96.77% 96.78% 96.79% 96.80% 96.81% 96.82% 96.83% 96.84% 96.86% 96.87% 96.88% 96.89% 96.90% 96.91% 96.92% 96.93% 96.94% 96.96% 96.97% 96.98% 96.99% 97.00% 97.01% 97.02% 97.03% 97.04% 97.06% 97.07% 97.08% 97.09% 97.10% 97.11% 97.12% 97.13% 97.14% 97.16% 97.17% 97.18% 97.19% 97.20% 97.21% 97.22% 97.23% 97.24% 97.26% 97.27% 97.28% 97.29% 97.30% 97.31% 97.32% 97.33% 97.34% 97.36% 97.37% 97.38% 97.39% 97.40% 97.41% 97.42% 97.43% 97.44% 97.46% 97.47% 97.48% 97.49% 97.50% 97.51% 97.52% 97.53% 97.54% 97.56% 97.57% 97.58% 97.59% 97.60% 97.61% 97.62% 97.63% 97.64% 97.66% 97.67% 97.68% 97.69% 97.70% 97.71% 97.72% 97.73% 97.74% 97.76% 97.77% 97.78% 97.79% 97.80% 97.81% 97.82% 97.83% 97.84% 97.86% 97.87% 97.88% 97.89% 97.90% 97.91% 97.92% 97.93% 97.94% 97.96% 97.97% 97.98% 97.99% 98.00% 98.01% 98.02% 98.03% 98.04% 98.06% 98.07% 98.08% 98.09% 98.10% 98.11% 98.12% 98.13% 98.14% 98.16% 98.17% 98.18% 98.19% 98.20% 98.21% 98.22% 98.23% 98.24% 98.26% 98.27% 98.28% 98.29% 98.30% 98.31% 98.32% 98.33% 98.34% 98.36% 98.37% 98.38% 98.39% 98.40% 98.41% 98.42% 98.43% 98.44% 98.46% 98.47% 98.48% 98.49% 98.50% 98.51% 98.52% 98.53% 98.54% 98.56% 98.57% 98.58% 98.59% 98.60% 98.61% 98.62% 98.63% 98.64% 98.66% 98.67% 98.68% 98.69% 98.70% 98.71% 98.72% 98.73% 98.74% 98.76% 98.77% 98.78% 98.79% 98.80% 98.81% 98.82% 98.83% 98.84% 98.86% 98.87% 98.88% 98.89% 98.90% 98.91% 98.92% 98.93% 98.94% 98.96% 98.97% 98.98% 98.99% 99.00% 99.01% 99.02% 99.03% 99.04% 99.06% 99.07% 99.08% 99.09% 99.10% 99.11% 99.12% 99.13% 99.14% 99.16% 99.17% 99.18% 99.19% 99.20% 99.21% 99.22% 99.23% 99.24% 99.26% 99.27% 99.28% 99.29% 99.30% 99.31% 99.32% 99.33% 99.34% 99.36% 99.37% 99.38% 99.39% 99.40% 99.41% 99.42% 99.43% 99.44% 99.46% 99.47% 99.48% 99.49% 99.50% 99.51% 99.52% 99.53% 99.54% 99.56% 99.57% 99.58% 99.59% 99.60% 99.61% 99.62% 99.63% 99.64% 99.66% 99.67% 99.68% 99.69% 99.70% 99.71% 99.72% 99.73% 99.74% 99.76% 99.77% 99.78% 99.79% 99.80% 99.81% 99.82% 99.83% 99.84% 99.86% 99.87% 99.88% 99.89% 99.90% 99.91% 99.92% 99.93% 99.94% 99.96% 99.97% 99.98% 99.99% 100.00% Adding p-values adjusted for testing multiple hypotheses Storing results: Tetracycline_resistance Calculating max number of contrasting pairs for each nominally significant gene 0.02% 0.03% 0.05% 0.07% 0.08% 0.10% 0.12% 0.13% 0.15% 0.17% 0.19% 0.20% 0.22% 0.24% 0.25% 0.27% 0.29% 0.30% 0.32% 0.34% 0.35% 0.37% 0.39% 0.40% 0.42% 0.44% 0.45% 0.47% 0.49% 0.51% 0.52% 0.54% 0.56% 0.57% 0.59% 0.61% 0.62% 0.64% 0.66% 0.67% 0.69% 0.71% 0.72% 0.74% 0.76% 0.77% 0.79% 0.81% 0.82% 0.84% 0.86% 0.88% 0.89% 0.91% 0.93% 0.94% 0.96% 0.98% 0.99% 1.01% 1.03% 1.04% 1.06% 1.08% 1.09% 1.11% 1.13% 1.14% 1.16% 1.18% 1.20% 1.21% 1.23% 1.25% 1.26% 1.28% 1.30% 1.31% 1.33% 1.35% 1.36% 1.38% 1.40% 1.41% 1.43% 1.45% 1.46% 1.48% 1.50% 1.52% 1.53% 1.55% 1.57% 1.58% 1.60% 1.62% 1.63% 1.65% 1.67% 1.68% 1.70% 1.72% 1.73% 1.75% 1.77% 1.78% 1.80% 1.82% 1.84% 1.85% 1.87% 1.89% 1.90% 1.92% 1.94% 1.95% 1.97% 1.99% 2.00% 2.02% 2.04% 2.05% 2.07% 2.09% 2.10% 2.12% 2.14% 2.15% 2.17% 2.19% 2.21% 2.22% 2.24% 2.26% 2.27% 2.29% 2.31% 2.32% 2.34% 2.36% 2.37% 2.39% 2.41% 2.42% 2.44% 2.46% 2.47% 2.49% 2.51% 2.53% 2.54% 2.56% 2.58% 2.59% 2.61% 2.63% 2.64% 2.66% 2.68% 2.69% 2.71% 2.73% 2.74% 2.76% 2.78% 2.79% 2.81% 2.83% 2.85% 2.86% 2.88% 2.90% 2.91% 2.93% 2.95% 2.96% 2.98% 3.00% 3.01% 3.03% 3.05% 3.06% 3.08% 3.10% 3.11% 3.13% 3.15% 3.16% 3.18% 3.20% 3.22% 3.23% 3.25% 3.27% 3.28% 3.30% 3.32% 3.33% 3.35% 3.37% 3.38% 3.40% 3.42% 3.43% 3.45% 3.47% 3.48% 3.50% 3.52% 3.54% 3.55% 3.57% 3.59% 3.60% 3.62% 3.64% 3.65% 3.67% 3.69% 3.70% 3.72% 3.74% 3.75% 3.77% 3.79% 3.80% 3.82% 3.84% 3.86% 3.87% 3.89% 3.91% 3.92% 3.94% 3.96% 3.97% 3.99% 4.01% 4.02% 4.04% 4.06% 4.07% 4.09% 4.11% 4.12% 4.14% 4.16% 4.18% 4.19% 4.21% 4.23% 4.24% 4.26% 4.28% 4.29% 4.31% 4.33% 4.34% 4.36% 4.38% 4.39% 4.41% 4.43% 4.44% 4.46% 4.48% 4.49% 4.51% 4.53% 4.55% 4.56% 4.58% 4.60% 4.61% 4.63% 4.65% 4.66% 4.68% 4.70% 4.71% 4.73% 4.75% 4.76% 4.78% 4.80% 4.81% 4.83% 4.85% 4.87% 4.88% 4.90% 4.92% 4.93% 4.95% 4.97% 4.98% 5.00% 5.02% 5.03% 5.05% 5.07% 5.08% 5.10% 5.12% 5.13% 5.15% 5.17% 5.19% 5.20% 5.22% 5.24% 5.25% 5.27% 5.29% 5.30% 5.32% 5.34% 5.35% 5.37% 5.39% 5.40% 5.42% 5.44% 5.45% 5.47% 5.49% 5.51% 5.52% 5.54% 5.56% 5.57% 5.59% 5.61% 5.62% 5.64% 5.66% 5.67% 5.69% 100.00% Storing results to file Storing results: Bogus_trait Calculating max number of contrasting pairs for each nominally significant gene 0.02% 0.03% 0.05% 0.07% 0.08% 0.10% 0.12% 0.13% 0.15% 0.17% 0.19% 0.20% 0.22% 0.24% 0.25% 0.27% 0.29% 0.30% 0.32% 0.34% 0.35% 0.37% 0.39% 0.40% 0.42% 0.44% 0.45% 0.47% 0.49% 0.51% 0.52% 0.54% 0.56% 0.57% 0.59% 0.61% 0.62% 0.64% 0.66% 0.67% 0.69% 0.71% 0.72% 0.74% 0.76% 0.77% 0.79% 0.81% 0.82% 0.84% 0.86% 0.88% 0.89% 0.91% 0.93% 0.94% 0.96% 0.98% 0.99% 1.01% 1.03% 1.04% 1.06% 1.08% 1.09% 1.11% 1.13% 1.14% 1.16% 1.18% 1.20% 1.21% 1.23% 1.25% 1.26% 1.28% 1.30% 1.31% 1.33% 1.35% 1.36% 1.38% 1.40% 1.41% 1.43% 1.45% 1.46% 1.48% 1.50% 1.52% 1.53% 1.55% 1.57% 1.58% 1.60% 1.62% 1.63% 1.65% 1.67% 1.68% 1.70% 1.72% 1.73% 1.75% 1.77% 1.78% 1.80% 1.82% 1.84% 1.85% 1.87% 1.89% 1.90% 1.92% 1.94% 1.95% 1.97% 1.99% 2.00% 2.02% 2.04% 2.05% 2.07% 2.09% 2.10% 2.12% 2.14% 2.15% 2.17% 2.19% 2.21% 2.22% 2.24% 2.26% 2.27% 2.29% 2.31% 2.32% 2.34% 2.36% 2.37% 2.39% 2.41% 2.42% 2.44% 2.46% 2.47% 2.49% 2.51% 2.53% 2.54% 2.56% 2.58% 2.59% 2.61% 2.63% 2.64% 2.66% 2.68% 2.69% 2.71% 2.73% 2.74% 2.76% 2.78% 2.79% 2.81% 2.83% 2.85% 2.86% 2.88% 2.90% 2.91% 2.93% 2.95% 2.96% 2.98% 3.00% 3.01% 3.03% 3.05% 3.06% 3.08% 3.10% 3.11% 3.13% 3.15% 3.16% 3.18% 3.20% 3.22% 3.23% 3.25% 3.27% 3.28% 3.30% 3.32% 3.33% 3.35% 3.37% 3.38% 3.40% 3.42% 3.43% 3.45% 3.47% 3.48% 3.50% 3.52% 3.54% 3.55% 3.57% 3.59% 3.60% 3.62% 3.64% 3.65% 3.67% 3.69% 3.70% 3.72% 3.74% 3.75% 3.77% 3.79% 3.80% 3.82% 3.84% 3.86% 3.87% 3.89% 3.91% 100.00% Storing results to file ==== Finished ==== Checked a total of 9001 genes for associations to 2 trait(s). Total time used: 17 seconds. Scoary finished successfully, but with WARNINGS. Please check your log file. Warning. Since 1.5.0 scoary.py is deprecated. Install Scoary using 'pip install scoary instead, and run using scoary ==== Scoary started ==== Command: scoary.py -g scoary/exampledata/Gene_presence_absence.csv -t scoary/exampledata/Tetracycline_resistance.csv --no_pairwise -o Test2 --no-time Performing no pairwise comparisons. Ignoring all tree related options (user tree, population aware-correction, permutations). Reading gene presence absence file Ignoring relatedness among input sample and performing only population structure-naive analysis. Reading traits file WARNING: Some isolates have missing values for trait Bogus_trait. Missing-value isolates will not be counted in association analysis towards this trait. Finished loading files into memory. ==== Performing statistics ==== -- Filtration options -- Individual (Naive): 0.05 Collapse genes: False Tallying genes and performing statistical analyses Gene-wise counting and Fisher's exact tests for trait: Tetracycline_resistance 0.00% 0.01% 0.02% 0.03% 0.04% 0.06% 0.07% 0.08% 0.09% 0.10% 0.11% 0.12% 0.13% 0.14% 0.16% 0.17% 0.18% 0.19% 0.20% 0.21% 0.22% 0.23% 0.24% 0.26% 0.27% 0.28% 0.29% 0.30% 0.31% 0.32% 0.33% 0.34% 0.36% 0.37% 0.38% 0.39% 0.40% 0.41% 0.42% 0.43% 0.44% 0.46% 0.47% 0.48% 0.49% 0.50% 0.51% 0.52% 0.53% 0.54% 0.56% 0.57% 0.58% 0.59% 0.60% 0.61% 0.62% 0.63% 0.64% 0.66% 0.67% 0.68% 0.69% 0.70% 0.71% 0.72% 0.73% 0.74% 0.76% 0.77% 0.78% 0.79% 0.80% 0.81% 0.82% 0.83% 0.84% 0.86% 0.87% 0.88% 0.89% 0.90% 0.91% 0.92% 0.93% 0.94% 0.96% 0.97% 0.98% 0.99% 1.00% 1.01% 1.02% 1.03% 1.04% 1.06% 1.07% 1.08% 1.09% 1.10% 1.11% 1.12% 1.13% 1.14% 1.16% 1.17% 1.18% 1.19% 1.20% 1.21% 1.22% 1.23% 1.24% 1.26% 1.27% 1.28% 1.29% 1.30% 1.31% 1.32% 1.33% 1.34% 1.36% 1.37% 1.38% 1.39% 1.40% 1.41% 1.42% 1.43% 1.44% 1.46% 1.47% 1.48% 1.49% 1.50% 1.51% 1.52% 1.53% 1.54% 1.56% 1.57% 1.58% 1.59% 1.60% 1.61% 1.62% 1.63% 1.64% 1.66% 1.67% 1.68% 1.69% 1.70% 1.71% 1.72% 1.73% 1.74% 1.76% 1.77% 1.78% 1.79% 1.80% 1.81% 1.82% 1.83% 1.84% 1.86% 1.87% 1.88% 1.89% 1.90% 1.91% 1.92% 1.93% 1.94% 1.96% 1.97% 1.98% 1.99% 2.00% 2.01% 2.02% 2.03% 2.04% 2.06% 2.07% 2.08% 2.09% 2.10% 2.11% 2.12% 2.13% 2.14% 2.16% 2.17% 2.18% 2.19% 2.20% 2.21% 2.22% 2.23% 2.24% 2.26% 2.27% 2.28% 2.29% 2.30% 2.31% 2.32% 2.33% 2.34% 2.36% 2.37% 2.38% 2.39% 2.40% 2.41% 2.42% 2.43% 2.44% 2.46% 2.47% 2.48% 2.49% 2.50% 2.51% 2.52% 2.53% 2.54% 2.56% 2.57% 2.58% 2.59% 2.60% 2.61% 2.62% 2.63% 2.64% 2.66% 2.67% 2.68% 2.69% 2.70% 2.71% 2.72% 2.73% 2.74% 2.76% 2.77% 2.78% 2.79% 2.80% 2.81% 2.82% 2.83% 2.84% 2.86% 2.87% 2.88% 2.89% 2.90% 2.91% 2.92% 2.93% 2.94% 2.96% 2.97% 2.98% 2.99% 3.00% 3.01% 3.02% 3.03% 3.04% 3.06% 3.07% 3.08% 3.09% 3.10% 3.11% 3.12% 3.13% 3.14% 3.16% 3.17% 3.18% 3.19% 3.20% 3.21% 3.22% 3.23% 3.24% 3.26% 3.27% 3.28% 3.29% 3.30% 3.31% 3.32% 3.33% 3.34% 3.36% 3.37% 3.38% 3.39% 3.40% 3.41% 3.42% 3.43% 3.44% 3.46% 3.47% 3.48% 3.49% 3.50% 3.51% 3.52% 3.53% 3.54% 3.56% 3.57% 3.58% 3.59% 3.60% 3.61% 3.62% 3.63% 3.64% 3.66% 3.67% 3.68% 3.69% 3.70% 3.71% 3.72% 3.73% 3.74% 3.76% 3.77% 3.78% 3.79% 3.80% 3.81% 3.82% 3.83% 3.84% 3.86% 3.87% 3.88% 3.89% 3.90% 3.91% 3.92% 3.93% 3.94% 3.96% 3.97% 3.98% 3.99% 4.00% 4.01% 4.02% 4.03% 4.04% 4.06% 4.07% 4.08% 4.09% 4.10% 4.11% 4.12% 4.13% 4.14% 4.16% 4.17% 4.18% 4.19% 4.20% 4.21% 4.22% 4.23% 4.24% 4.26% 4.27% 4.28% 4.29% 4.30% 4.31% 4.32% 4.33% 4.34% 4.36% 4.37% 4.38% 4.39% 4.40% 4.41% 4.42% 4.43% 4.44% 4.46% 4.47% 4.48% 4.49% 4.50% 4.51% 4.52% 4.53% 4.54% 4.56% 4.57% 4.58% 4.59% 4.60% 4.61% 4.62% 4.63% 4.64% 4.66% 4.67% 4.68% 4.69% 4.70% 4.71% 4.72% 4.73% 4.74% 4.76% 4.77% 4.78% 4.79% 4.80% 4.81% 4.82% 4.83% 4.84% 4.86% 4.87% 4.88% 4.89% 4.90% 4.91% 4.92% 4.93% 4.94% 4.96% 4.97% 4.98% 4.99% 5.00% 5.01% 5.02% 5.03% 5.04% 5.05% 5.07% 5.08% 5.09% 5.10% 5.11% 5.12% 5.13% 5.14% 5.15% 5.17% 5.18% 5.19% 5.20% 5.21% 5.22% 5.23% 5.24% 5.25% 5.27% 5.28% 5.29% 5.30% 5.31% 5.32% 5.33% 5.34% 5.35% 5.37% 5.38% 5.39% 5.40% 5.41% 5.42% 5.43% 5.44% 5.45% 5.47% 5.48% 5.49% 5.50% 5.51% 5.52% 5.53% 5.54% 5.55% 5.57% 5.58% 5.59% 5.60% 5.61% 5.62% 5.63% 5.64% 5.65% 5.67% 5.68% 5.69% 5.70% 5.71% 5.72% 5.73% 5.74% 5.75% 5.77% 5.78% 5.79% 5.80% 5.81% 5.82% 5.83% 5.84% 5.85% 5.87% 5.88% 5.89% 5.90% 5.91% 5.92% 5.93% 5.94% 5.95% 5.97% 5.98% 5.99% 6.00% 6.01% 6.02% 6.03% 6.04% 6.05% 6.07% 6.08% 6.09% 6.10% 6.11% 6.12% 6.13% 6.14% 6.15% 6.17% 6.18% 6.19% 6.20% 6.21% 6.22% 6.23% 6.24% 6.25% 6.27% 6.28% 6.29% 6.30% 6.31% 6.32% 6.33% 6.34% 6.35% 6.37% 6.38% 6.39% 6.40% 6.41% 6.42% 6.43% 6.44% 6.45% 6.47% 6.48% 6.49% 6.50% 6.51% 6.52% 6.53% 6.54% 6.55% 6.57% 6.58% 6.59% 6.60% 6.61% 6.62% 6.63% 6.64% 6.65% 6.67% 6.68% 6.69% 6.70% 6.71% 6.72% 6.73% 6.74% 6.75% 6.77% 6.78% 6.79% 6.80% 6.81% 6.82% 6.83% 6.84% 6.85% 6.87% 6.88% 6.89% 6.90% 6.91% 6.92% 6.93% 6.94% 6.95% 6.97% 6.98% 6.99% 7.00% 7.01% 7.02% 7.03% 7.04% 7.05% 7.07% 7.08% 7.09% 7.10% 7.11% 7.12% 7.13% 7.14% 7.15% 7.17% 7.18% 7.19% 7.20% 7.21% 7.22% 7.23% 7.24% 7.25% 7.27% 7.28% 7.29% 7.30% 7.31% 7.32% 7.33% 7.34% 7.35% 7.37% 7.38% 7.39% 7.40% 7.41% 7.42% 7.43% 7.44% 7.45% 7.47% 7.48% 7.49% 7.50% 7.51% 7.52% 7.53% 7.54% 7.55% 7.57% 7.58% 7.59% 7.60% 7.61% 7.62% 7.63% 7.64% 7.65% 7.67% 7.68% 7.69% 7.70% 7.71% 7.72% 7.73% 7.74% 7.75% 7.77% 7.78% 7.79% 7.80% 7.81% 7.82% 7.83% 7.84% 7.85% 7.87% 7.88% 7.89% 7.90% 7.91% 7.92% 7.93% 7.94% 7.95% 7.97% 7.98% 7.99% 8.00% 8.01% 8.02% 8.03% 8.04% 8.05% 8.07% 8.08% 8.09% 8.10% 8.11% 8.12% 8.13% 8.14% 8.15% 8.17% 8.18% 8.19% 8.20% 8.21% 8.22% 8.23% 8.24% 8.25% 8.27% 8.28% 8.29% 8.30% 8.31% 8.32% 8.33% 8.34% 8.35% 8.37% 8.38% 8.39% 8.40% 8.41% 8.42% 8.43% 8.44% 8.45% 8.47% 8.48% 8.49% 8.50% 8.51% 8.52% 8.53% 8.54% 8.55% 8.57% 8.58% 8.59% 8.60% 8.61% 8.62% 8.63% 8.64% 8.65% 8.67% 8.68% 8.69% 8.70% 8.71% 8.72% 8.73% 8.74% 8.75% 8.77% 8.78% 8.79% 8.80% 8.81% 8.82% 8.83% 8.84% 8.85% 8.87% 8.88% 8.89% 8.90% 8.91% 8.92% 8.93% 8.94% 8.95% 8.97% 8.98% 8.99% 9.00% 9.01% 9.02% 9.03% 9.04% 9.05% 9.07% 9.08% 9.09% 9.10% 9.11% 9.12% 9.13% 9.14% 9.15% 9.17% 9.18% 9.19% 9.20% 9.21% 9.22% 9.23% 9.24% 9.25% 9.27% 9.28% 9.29% 9.30% 9.31% 9.32% 9.33% 9.34% 9.35% 9.37% 9.38% 9.39% 9.40% 9.41% 9.42% 9.43% 9.44% 9.45% 9.47% 9.48% 9.49% 9.50% 9.51% 9.52% 9.53% 9.54% 9.55% 9.57% 9.58% 9.59% 9.60% 9.61% 9.62% 9.63% 9.64% 9.65% 9.67% 9.68% 9.69% 9.70% 9.71% 9.72% 9.73% 9.74% 9.75% 9.77% 9.78% 9.79% 9.80% 9.81% 9.82% 9.83% 9.84% 9.85% 9.87% 9.88% 9.89% 9.90% 9.91% 9.92% 9.93% 9.94% 9.95% 9.97% 9.98% 9.99% 10.00% 10.01% 10.02% 10.03% 10.04% 10.05% 10.07% 10.08% 10.09% 10.10% 10.11% 10.12% 10.13% 10.14% 10.15% 10.17% 10.18% 10.19% 10.20% 10.21% 10.22% 10.23% 10.24% 10.25% 10.27% 10.28% 10.29% 10.30% 10.31% 10.32% 10.33% 10.34% 10.35% 10.37% 10.38% 10.39% 10.40% 10.41% 10.42% 10.43% 10.44% 10.45% 10.47% 10.48% 10.49% 10.50% 10.51% 10.52% 10.53% 10.54% 10.55% 10.57% 10.58% 10.59% 10.60% 10.61% 10.62% 10.63% 10.64% 10.65% 10.67% 10.68% 10.69% 10.70% 10.71% 10.72% 10.73% 10.74% 10.75% 10.77% 10.78% 10.79% 10.80% 10.81% 10.82% 10.83% 10.84% 10.85% 10.87% 10.88% 10.89% 10.90% 10.91% 10.92% 10.93% 10.94% 10.95% 10.97% 10.98% 10.99% 11.00% 11.01% 11.02% 11.03% 11.04% 11.05% 11.07% 11.08% 11.09% 11.10% 11.11% 11.12% 11.13% 11.14% 11.15% 11.17% 11.18% 11.19% 11.20% 11.21% 11.22% 11.23% 11.24% 11.25% 11.27% 11.28% 11.29% 11.30% 11.31% 11.32% 11.33% 11.34% 11.35% 11.37% 11.38% 11.39% 11.40% 11.41% 11.42% 11.43% 11.44% 11.45% 11.47% 11.48% 11.49% 11.50% 11.51% 11.52% 11.53% 11.54% 11.55% 11.57% 11.58% 11.59% 11.60% 11.61% 11.62% 11.63% 11.64% 11.65% 11.67% 11.68% 11.69% 11.70% 11.71% 11.72% 11.73% 11.74% 11.75% 11.77% 11.78% 11.79% 11.80% 11.81% 11.82% 11.83% 11.84% 11.85% 11.87% 11.88% 11.89% 11.90% 11.91% 11.92% 11.93% 11.94% 11.95% 11.97% 11.98% 11.99% 12.00% 12.01% 12.02% 12.03% 12.04% 12.05% 12.07% 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50.21% 50.22% 50.23% 50.24% 50.25% 50.26% 50.27% 50.28% 50.29% 50.31% 50.32% 50.33% 50.34% 50.35% 50.36% 50.37% 50.38% 50.39% 50.41% 50.42% 50.43% 50.44% 50.45% 50.46% 50.47% 50.48% 50.49% 50.51% 50.52% 50.53% 50.54% 50.55% 50.56% 50.57% 50.58% 50.59% 50.61% 50.62% 50.63% 50.64% 50.65% 50.66% 50.67% 50.68% 50.69% 50.71% 50.72% 50.73% 50.74% 50.75% 50.76% 50.77% 50.78% 50.79% 50.81% 50.82% 50.83% 50.84% 50.85% 50.86% 50.87% 50.88% 50.89% 50.91% 50.92% 50.93% 50.94% 50.95% 50.96% 50.97% 50.98% 50.99% 51.01% 51.02% 51.03% 51.04% 51.05% 51.06% 51.07% 51.08% 51.09% 51.11% 51.12% 51.13% 51.14% 51.15% 51.16% 51.17% 51.18% 51.19% 51.21% 51.22% 51.23% 51.24% 51.25% 51.26% 51.27% 51.28% 51.29% 51.31% 51.32% 51.33% 51.34% 51.35% 51.36% 51.37% 51.38% 51.39% 51.41% 51.42% 51.43% 51.44% 51.45% 51.46% 51.47% 51.48% 51.49% 51.51% 51.52% 51.53% 51.54% 51.55% 51.56% 51.57% 51.58% 51.59% 51.61% 51.62% 51.63% 51.64% 51.65% 51.66% 51.67% 51.68% 51.69% 51.71% 51.72% 51.73% 51.74% 51.75% 51.76% 51.77% 51.78% 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66.09% 66.10% 66.11% 66.13% 66.14% 66.15% 66.16% 66.17% 66.18% 66.19% 66.20% 66.21% 66.23% 66.24% 66.25% 66.26% 66.27% 66.28% 66.29% 66.30% 66.31% 66.33% 66.34% 66.35% 66.36% 66.37% 66.38% 66.39% 66.40% 66.41% 66.43% 66.44% 66.45% 66.46% 66.47% 66.48% 66.49% 66.50% 66.51% 66.53% 66.54% 66.55% 66.56% 66.57% 66.58% 66.59% 66.60% 66.61% 66.63% 66.64% 66.65% 66.66% 66.67% 66.68% 66.69% 66.70% 66.71% 66.73% 66.74% 66.75% 66.76% 66.77% 66.78% 66.79% 66.80% 66.81% 66.83% 66.84% 66.85% 66.86% 66.87% 66.88% 66.89% 66.90% 66.91% 66.93% 66.94% 66.95% 66.96% 66.97% 66.98% 66.99% 67.00% 67.01% 67.03% 67.04% 67.05% 67.06% 67.07% 67.08% 67.09% 67.10% 67.11% 67.13% 67.14% 67.15% 67.16% 67.17% 67.18% 67.19% 67.20% 67.21% 67.23% 67.24% 67.25% 67.26% 67.27% 67.28% 67.29% 67.30% 67.31% 67.33% 67.34% 67.35% 67.36% 67.37% 67.38% 67.39% 67.40% 67.41% 67.43% 67.44% 67.45% 67.46% 67.47% 67.48% 67.49% 67.50% 67.51% 67.53% 67.54% 67.55% 67.56% 67.57% 67.58% 67.59% 67.60% 67.61% 67.63% 67.64% 67.65% 67.66% 67.67% 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85.16% 85.17% 85.18% 85.19% 85.20% 85.21% 85.22% 85.23% 85.25% 85.26% 85.27% 85.28% 85.29% 85.30% 85.31% 85.32% 85.33% 85.35% 85.36% 85.37% 85.38% 85.39% 85.40% 85.41% 85.42% 85.43% 85.45% 85.46% 85.47% 85.48% 85.49% 85.50% 85.51% 85.52% 85.53% 85.55% 85.56% 85.57% 85.58% 85.59% 85.60% 85.61% 85.62% 85.63% 85.65% 85.66% 85.67% 85.68% 85.69% 85.70% 85.71% 85.72% 85.73% 85.75% 85.76% 85.77% 85.78% 85.79% 85.80% 85.81% 85.82% 85.83% 85.85% 85.86% 85.87% 85.88% 85.89% 85.90% 85.91% 85.92% 85.93% 85.95% 85.96% 85.97% 85.98% 85.99% 86.00% 86.01% 86.02% 86.03% 86.05% 86.06% 86.07% 86.08% 86.09% 86.10% 86.11% 86.12% 86.13% 86.15% 86.16% 86.17% 86.18% 86.19% 86.20% 86.21% 86.22% 86.23% 86.25% 86.26% 86.27% 86.28% 86.29% 86.30% 86.31% 86.32% 86.33% 86.35% 86.36% 86.37% 86.38% 86.39% 86.40% 86.41% 86.42% 86.43% 86.45% 86.46% 86.47% 86.48% 86.49% 86.50% 86.51% 86.52% 86.53% 86.55% 86.56% 86.57% 86.58% 86.59% 86.60% 86.61% 86.62% 86.63% 86.65% 86.66% 86.67% 86.68% 86.69% 86.70% 86.71% 86.72% 86.73% 86.75% 86.76% 86.77% 86.78% 86.79% 86.80% 86.81% 86.82% 86.83% 86.85% 86.86% 86.87% 86.88% 86.89% 86.90% 86.91% 86.92% 86.93% 86.95% 86.96% 86.97% 86.98% 86.99% 87.00% 87.01% 87.02% 87.03% 87.05% 87.06% 87.07% 87.08% 87.09% 87.10% 87.11% 87.12% 87.13% 87.15% 87.16% 87.17% 87.18% 87.19% 87.20% 87.21% 87.22% 87.23% 87.25% 87.26% 87.27% 87.28% 87.29% 87.30% 87.31% 87.32% 87.33% 87.35% 87.36% 87.37% 87.38% 87.39% 87.40% 87.41% 87.42% 87.43% 87.45% 87.46% 87.47% 87.48% 87.49% 87.50% 87.51% 87.52% 87.53% 87.55% 87.56% 87.57% 87.58% 87.59% 87.60% 87.61% 87.62% 87.63% 87.65% 87.66% 87.67% 87.68% 87.69% 87.70% 87.71% 87.72% 87.73% 87.75% 87.76% 87.77% 87.78% 87.79% 87.80% 87.81% 87.82% 87.83% 87.85% 87.86% 87.87% 87.88% 87.89% 87.90% 87.91% 87.92% 87.93% 87.95% 87.96% 87.97% 87.98% 87.99% 88.00% 88.01% 88.02% 88.03% 88.05% 88.06% 88.07% 88.08% 88.09% 88.10% 88.11% 88.12% 88.13% 88.15% 88.16% 88.17% 88.18% 88.19% 88.20% 88.21% 88.22% 88.23% 88.25% 88.26% 88.27% 88.28% 88.29% 88.30% 88.31% 88.32% 88.33% 88.35% 88.36% 88.37% 88.38% 88.39% 88.40% 88.41% 88.42% 88.43% 88.45% 88.46% 88.47% 88.48% 88.49% 88.50% 88.51% 88.52% 88.53% 88.55% 88.56% 88.57% 88.58% 88.59% 88.60% 88.61% 88.62% 88.63% 88.65% 88.66% 88.67% 88.68% 88.69% 88.70% 88.71% 88.72% 88.73% 88.75% 88.76% 88.77% 88.78% 88.79% 88.80% 88.81% 88.82% 88.83% 88.85% 88.86% 88.87% 88.88% 88.89% 88.90% 88.91% 88.92% 88.93% 88.95% 88.96% 88.97% 88.98% 88.99% 89.00% 89.01% 89.02% 89.03% 89.05% 89.06% 89.07% 89.08% 89.09% 89.10% 89.11% 89.12% 89.13% 89.15% 89.16% 89.17% 89.18% 89.19% 89.20% 89.21% 89.22% 89.23% 89.25% 89.26% 89.27% 89.28% 89.29% 89.30% 89.31% 89.32% 89.33% 89.35% 89.36% 89.37% 89.38% 89.39% 89.40% 89.41% 89.42% 89.43% 89.45% 89.46% 89.47% 89.48% 89.49% 89.50% 89.51% 89.52% 89.53% 89.55% 89.56% 89.57% 89.58% 89.59% 89.60% 89.61% 89.62% 89.63% 89.65% 89.66% 89.67% 89.68% 89.69% 89.70% 89.71% 89.72% 89.73% 89.75% 89.76% 89.77% 89.78% 89.79% 89.80% 89.81% 89.82% 89.83% 89.85% 89.86% 89.87% 89.88% 89.89% 89.90% 89.91% 89.92% 89.93% 89.95% 89.96% 89.97% 89.98% 89.99% 90.00% 90.01% 90.02% 90.03% 90.05% 90.06% 90.07% 90.08% 90.09% 90.10% 90.11% 90.12% 90.13% 90.15% 90.16% 90.17% 90.18% 90.19% 90.20% 90.21% 90.22% 90.23% 90.25% 90.26% 90.27% 90.28% 90.29% 90.30% 90.31% 90.32% 90.33% 90.35% 90.36% 90.37% 90.38% 90.39% 90.40% 90.41% 90.42% 90.43% 90.45% 90.46% 90.47% 90.48% 90.49% 90.50% 90.51% 90.52% 90.53% 90.55% 90.56% 90.57% 90.58% 90.59% 90.60% 90.61% 90.62% 90.63% 90.65% 90.66% 90.67% 90.68% 90.69% 90.70% 90.71% 90.72% 90.73% 90.75% 90.76% 90.77% 90.78% 90.79% 90.80% 90.81% 90.82% 90.83% 90.85% 90.86% 90.87% 90.88% 90.89% 90.90% 90.91% 90.92% 90.93% 90.95% 90.96% 90.97% 90.98% 90.99% 91.00% 91.01% 91.02% 91.03% 91.05% 91.06% 91.07% 91.08% 91.09% 91.10% 91.11% 91.12% 91.13% 91.15% 91.16% 91.17% 91.18% 91.19% 91.20% 91.21% 91.22% 91.23% 91.25% 91.26% 91.27% 91.28% 91.29% 91.30% 91.31% 91.32% 91.33% 91.35% 91.36% 91.37% 91.38% 91.39% 91.40% 91.41% 91.42% 91.43% 91.45% 91.46% 91.47% 91.48% 91.49% 91.50% 91.51% 91.52% 91.53% 91.55% 91.56% 91.57% 91.58% 91.59% 91.60% 91.61% 91.62% 91.63% 91.65% 91.66% 91.67% 91.68% 91.69% 91.70% 91.71% 91.72% 91.73% 91.75% 91.76% 91.77% 91.78% 91.79% 91.80% 91.81% 91.82% 91.83% 91.85% 91.86% 91.87% 91.88% 91.89% 91.90% 91.91% 91.92% 91.93% 91.95% 91.96% 91.97% 91.98% 91.99% 92.00% 92.01% 92.02% 92.03% 92.05% 92.06% 92.07% 92.08% 92.09% 92.10% 92.11% 92.12% 92.13% 92.15% 92.16% 92.17% 92.18% 92.19% 92.20% 92.21% 92.22% 92.23% 92.25% 92.26% 92.27% 92.28% 92.29% 92.30% 92.31% 92.32% 92.33% 92.35% 92.36% 92.37% 92.38% 92.39% 92.40% 92.41% 92.42% 92.43% 92.45% 92.46% 92.47% 92.48% 92.49% 92.50% 92.51% 92.52% 92.53% 92.55% 92.56% 92.57% 92.58% 92.59% 92.60% 92.61% 92.62% 92.63% 92.65% 92.66% 92.67% 92.68% 92.69% 92.70% 92.71% 92.72% 92.73% 92.75% 92.76% 92.77% 92.78% 92.79% 92.80% 92.81% 92.82% 92.83% 92.85% 92.86% 92.87% 92.88% 92.89% 92.90% 92.91% 92.92% 92.93% 92.95% 92.96% 92.97% 92.98% 92.99% 93.00% 93.01% 93.02% 93.03% 93.05% 93.06% 93.07% 93.08% 93.09% 93.10% 93.11% 93.12% 93.13% 93.15% 93.16% 93.17% 93.18% 93.19% 93.20% 93.21% 93.22% 93.23% 93.25% 93.26% 93.27% 93.28% 93.29% 93.30% 93.31% 93.32% 93.33% 93.35% 93.36% 93.37% 93.38% 93.39% 93.40% 93.41% 93.42% 93.43% 93.45% 93.46% 93.47% 93.48% 93.49% 93.50% 93.51% 93.52% 93.53% 93.55% 93.56% 93.57% 93.58% 93.59% 93.60% 93.61% 93.62% 93.63% 93.65% 93.66% 93.67% 93.68% 93.69% 93.70% 93.71% 93.72% 93.73% 93.75% 93.76% 93.77% 93.78% 93.79% 93.80% 93.81% 93.82% 93.83% 93.85% 93.86% 93.87% 93.88% 93.89% 93.90% 93.91% 93.92% 93.93% 93.95% 93.96% 93.97% 93.98% 93.99% 94.00% 94.01% 94.02% 94.03% 94.05% 94.06% 94.07% 94.08% 94.09% 94.10% 94.11% 94.12% 94.13% 94.15% 94.16% 94.17% 94.18% 94.19% 94.20% 94.21% 94.22% 94.23% 94.25% 94.26% 94.27% 94.28% 94.29% 94.30% 94.31% 94.32% 94.33% 94.35% 94.36% 94.37% 94.38% 94.39% 94.40% 94.41% 94.42% 94.43% 94.45% 94.46% 94.47% 94.48% 94.49% 94.50% 94.51% 94.52% 94.53% 94.55% 94.56% 94.57% 94.58% 94.59% 94.60% 94.61% 94.62% 94.63% 94.65% 94.66% 94.67% 94.68% 94.69% 94.70% 94.71% 94.72% 94.73% 94.75% 94.76% 94.77% 94.78% 94.79% 94.80% 94.81% 94.82% 94.83% 94.85% 94.86% 94.87% 94.88% 94.89% 94.90% 94.91% 94.92% 94.93% 94.95% 94.96% 94.97% 94.98% 94.99% 95.00% 95.01% 95.02% 95.03% 95.04% 95.06% 95.07% 95.08% 95.09% 95.10% 95.11% 95.12% 95.13% 95.14% 95.16% 95.17% 95.18% 95.19% 95.20% 95.21% 95.22% 95.23% 95.24% 95.26% 95.27% 95.28% 95.29% 95.30% 95.31% 95.32% 95.33% 95.34% 95.36% 95.37% 95.38% 95.39% 95.40% 95.41% 95.42% 95.43% 95.44% 95.46% 95.47% 95.48% 95.49% 95.50% 95.51% 95.52% 95.53% 95.54% 95.56% 95.57% 95.58% 95.59% 95.60% 95.61% 95.62% 95.63% 95.64% 95.66% 95.67% 95.68% 95.69% 95.70% 95.71% 95.72% 95.73% 95.74% 95.76% 95.77% 95.78% 95.79% 95.80% 95.81% 95.82% 95.83% 95.84% 95.86% 95.87% 95.88% 95.89% 95.90% 95.91% 95.92% 95.93% 95.94% 95.96% 95.97% 95.98% 95.99% 96.00% 96.01% 96.02% 96.03% 96.04% 96.06% 96.07% 96.08% 96.09% 96.10% 96.11% 96.12% 96.13% 96.14% 96.16% 96.17% 96.18% 96.19% 96.20% 96.21% 96.22% 96.23% 96.24% 96.26% 96.27% 96.28% 96.29% 96.30% 96.31% 96.32% 96.33% 96.34% 96.36% 96.37% 96.38% 96.39% 96.40% 96.41% 96.42% 96.43% 96.44% 96.46% 96.47% 96.48% 96.49% 96.50% 96.51% 96.52% 96.53% 96.54% 96.56% 96.57% 96.58% 96.59% 96.60% 96.61% 96.62% 96.63% 96.64% 96.66% 96.67% 96.68% 96.69% 96.70% 96.71% 96.72% 96.73% 96.74% 96.76% 96.77% 96.78% 96.79% 96.80% 96.81% 96.82% 96.83% 96.84% 96.86% 96.87% 96.88% 96.89% 96.90% 96.91% 96.92% 96.93% 96.94% 96.96% 96.97% 96.98% 96.99% 97.00% 97.01% 97.02% 97.03% 97.04% 97.06% 97.07% 97.08% 97.09% 97.10% 97.11% 97.12% 97.13% 97.14% 97.16% 97.17% 97.18% 97.19% 97.20% 97.21% 97.22% 97.23% 97.24% 97.26% 97.27% 97.28% 97.29% 97.30% 97.31% 97.32% 97.33% 97.34% 97.36% 97.37% 97.38% 97.39% 97.40% 97.41% 97.42% 97.43% 97.44% 97.46% 97.47% 97.48% 97.49% 97.50% 97.51% 97.52% 97.53% 97.54% 97.56% 97.57% 97.58% 97.59% 97.60% 97.61% 97.62% 97.63% 97.64% 97.66% 97.67% 97.68% 97.69% 97.70% 97.71% 97.72% 97.73% 97.74% 97.76% 97.77% 97.78% 97.79% 97.80% 97.81% 97.82% 97.83% 97.84% 97.86% 97.87% 97.88% 97.89% 97.90% 97.91% 97.92% 97.93% 97.94% 97.96% 97.97% 97.98% 97.99% 98.00% 98.01% 98.02% 98.03% 98.04% 98.06% 98.07% 98.08% 98.09% 98.10% 98.11% 98.12% 98.13% 98.14% 98.16% 98.17% 98.18% 98.19% 98.20% 98.21% 98.22% 98.23% 98.24% 98.26% 98.27% 98.28% 98.29% 98.30% 98.31% 98.32% 98.33% 98.34% 98.36% 98.37% 98.38% 98.39% 98.40% 98.41% 98.42% 98.43% 98.44% 98.46% 98.47% 98.48% 98.49% 98.50% 98.51% 98.52% 98.53% 98.54% 98.56% 98.57% 98.58% 98.59% 98.60% 98.61% 98.62% 98.63% 98.64% 98.66% 98.67% 98.68% 98.69% 98.70% 98.71% 98.72% 98.73% 98.74% 98.76% 98.77% 98.78% 98.79% 98.80% 98.81% 98.82% 98.83% 98.84% 98.86% 98.87% 98.88% 98.89% 98.90% 98.91% 98.92% 98.93% 98.94% 98.96% 98.97% 98.98% 98.99% 99.00% 99.01% 99.02% 99.03% 99.04% 99.06% 99.07% 99.08% 99.09% 99.10% 99.11% 99.12% 99.13% 99.14% 99.16% 99.17% 99.18% 99.19% 99.20% 99.21% 99.22% 99.23% 99.24% 99.26% 99.27% 99.28% 99.29% 99.30% 99.31% 99.32% 99.33% 99.34% 99.36% 99.37% 99.38% 99.39% 99.40% 99.41% 99.42% 99.43% 99.44% 99.46% 99.47% 99.48% 99.49% 99.50% 99.51% 99.52% 99.53% 99.54% 99.56% 99.57% 99.58% 99.59% 99.60% 99.61% 99.62% 99.63% 99.64% 99.66% 99.67% 99.68% 99.69% 99.70% 99.71% 99.72% 99.73% 99.74% 99.76% 99.77% 99.78% 99.79% 99.80% 99.81% 99.82% 99.83% 99.84% 99.86% 99.87% 99.88% 99.89% 99.90% 99.91% 99.92% 99.93% 99.94% 99.96% 99.97% 99.98% 99.99% 100.00% Adding p-values adjusted for testing multiple hypotheses Gene-wise counting and Fisher's exact tests for trait: Bogus_trait 0.00% 0.01% 0.02% 0.03% 0.04% 0.06% 0.07% 0.08% 0.09% 0.10% 0.11% 0.12% 0.13% 0.14% 0.16% 0.17% 0.18% 0.19% 0.20% 0.21% 0.22% 0.23% 0.24% 0.26% 0.27% 0.28% 0.29% 0.30% 0.31% 0.32% 0.33% 0.34% 0.36% 0.37% 0.38% 0.39% 0.40% 0.41% 0.42% 0.43% 0.44% 0.46% 0.47% 0.48% 0.49% 0.50% 0.51% 0.52% 0.53% 0.54% 0.56% 0.57% 0.58% 0.59% 0.60% 0.61% 0.62% 0.63% 0.64% 0.66% 0.67% 0.68% 0.69% 0.70% 0.71% 0.72% 0.73% 0.74% 0.76% 0.77% 0.78% 0.79% 0.80% 0.81% 0.82% 0.83% 0.84% 0.86% 0.87% 0.88% 0.89% 0.90% 0.91% 0.92% 0.93% 0.94% 0.96% 0.97% 0.98% 0.99% 1.00% 1.01% 1.02% 1.03% 1.04% 1.06% 1.07% 1.08% 1.09% 1.10% 1.11% 1.12% 1.13% 1.14% 1.16% 1.17% 1.18% 1.19% 1.20% 1.21% 1.22% 1.23% 1.24% 1.26% 1.27% 1.28% 1.29% 1.30% 1.31% 1.32% 1.33% 1.34% 1.36% 1.37% 1.38% 1.39% 1.40% 1.41% 1.42% 1.43% 1.44% 1.46% 1.47% 1.48% 1.49% 1.50% 1.51% 1.52% 1.53% 1.54% 1.56% 1.57% 1.58% 1.59% 1.60% 1.61% 1.62% 1.63% 1.64% 1.66% 1.67% 1.68% 1.69% 1.70% 1.71% 1.72% 1.73% 1.74% 1.76% 1.77% 1.78% 1.79% 1.80% 1.81% 1.82% 1.83% 1.84% 1.86% 1.87% 1.88% 1.89% 1.90% 1.91% 1.92% 1.93% 1.94% 1.96% 1.97% 1.98% 1.99% 2.00% 2.01% 2.02% 2.03% 2.04% 2.06% 2.07% 2.08% 2.09% 2.10% 2.11% 2.12% 2.13% 2.14% 2.16% 2.17% 2.18% 2.19% 2.20% 2.21% 2.22% 2.23% 2.24% 2.26% 2.27% 2.28% 2.29% 2.30% 2.31% 2.32% 2.33% 2.34% 2.36% 2.37% 2.38% 2.39% 2.40% 2.41% 2.42% 2.43% 2.44% 2.46% 2.47% 2.48% 2.49% 2.50% 2.51% 2.52% 2.53% 2.54% 2.56% 2.57% 2.58% 2.59% 2.60% 2.61% 2.62% 2.63% 2.64% 2.66% 2.67% 2.68% 2.69% 2.70% 2.71% 2.72% 2.73% 2.74% 2.76% 2.77% 2.78% 2.79% 2.80% 2.81% 2.82% 2.83% 2.84% 2.86% 2.87% 2.88% 2.89% 2.90% 2.91% 2.92% 2.93% 2.94% 2.96% 2.97% 2.98% 2.99% 3.00% 3.01% 3.02% 3.03% 3.04% 3.06% 3.07% 3.08% 3.09% 3.10% 3.11% 3.12% 3.13% 3.14% 3.16% 3.17% 3.18% 3.19% 3.20% 3.21% 3.22% 3.23% 3.24% 3.26% 3.27% 3.28% 3.29% 3.30% 3.31% 3.32% 3.33% 3.34% 3.36% 3.37% 3.38% 3.39% 3.40% 3.41% 3.42% 3.43% 3.44% 3.46% 3.47% 3.48% 3.49% 3.50% 3.51% 3.52% 3.53% 3.54% 3.56% 3.57% 3.58% 3.59% 3.60% 3.61% 3.62% 3.63% 3.64% 3.66% 3.67% 3.68% 3.69% 3.70% 3.71% 3.72% 3.73% 3.74% 3.76% 3.77% 3.78% 3.79% 3.80% 3.81% 3.82% 3.83% 3.84% 3.86% 3.87% 3.88% 3.89% 3.90% 3.91% 3.92% 3.93% 3.94% 3.96% 3.97% 3.98% 3.99% 4.00% 4.01% 4.02% 4.03% 4.04% 4.06% 4.07% 4.08% 4.09% 4.10% 4.11% 4.12% 4.13% 4.14% 4.16% 4.17% 4.18% 4.19% 4.20% 4.21% 4.22% 4.23% 4.24% 4.26% 4.27% 4.28% 4.29% 4.30% 4.31% 4.32% 4.33% 4.34% 4.36% 4.37% 4.38% 4.39% 4.40% 4.41% 4.42% 4.43% 4.44% 4.46% 4.47% 4.48% 4.49% 4.50% 4.51% 4.52% 4.53% 4.54% 4.56% 4.57% 4.58% 4.59% 4.60% 4.61% 4.62% 4.63% 4.64% 4.66% 4.67% 4.68% 4.69% 4.70% 4.71% 4.72% 4.73% 4.74% 4.76% 4.77% 4.78% 4.79% 4.80% 4.81% 4.82% 4.83% 4.84% 4.86% 4.87% 4.88% 4.89% 4.90% 4.91% 4.92% 4.93% 4.94% 4.96% 4.97% 4.98% 4.99% 5.00% 5.01% 5.02% 5.03% 5.04% 5.05% 5.07% 5.08% 5.09% 5.10% 5.11% 5.12% 5.13% 5.14% 5.15% 5.17% 5.18% 5.19% 5.20% 5.21% 5.22% 5.23% 5.24% 5.25% 5.27% 5.28% 5.29% 5.30% 5.31% 5.32% 5.33% 5.34% 5.35% 5.37% 5.38% 5.39% 5.40% 5.41% 5.42% 5.43% 5.44% 5.45% 5.47% 5.48% 5.49% 5.50% 5.51% 5.52% 5.53% 5.54% 5.55% 5.57% 5.58% 5.59% 5.60% 5.61% 5.62% 5.63% 5.64% 5.65% 5.67% 5.68% 5.69% 5.70% 5.71% 5.72% 5.73% 5.74% 5.75% 5.77% 5.78% 5.79% 5.80% 5.81% 5.82% 5.83% 5.84% 5.85% 5.87% 5.88% 5.89% 5.90% 5.91% 5.92% 5.93% 5.94% 5.95% 5.97% 5.98% 5.99% 6.00% 6.01% 6.02% 6.03% 6.04% 6.05% 6.07% 6.08% 6.09% 6.10% 6.11% 6.12% 6.13% 6.14% 6.15% 6.17% 6.18% 6.19% 6.20% 6.21% 6.22% 6.23% 6.24% 6.25% 6.27% 6.28% 6.29% 6.30% 6.31% 6.32% 6.33% 6.34% 6.35% 6.37% 6.38% 6.39% 6.40% 6.41% 6.42% 6.43% 6.44% 6.45% 6.47% 6.48% 6.49% 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24.46% 24.48% 24.49% 24.50% 24.51% 24.52% 24.53% 24.54% 24.55% 24.56% 24.58% 24.59% 24.60% 24.61% 24.62% 24.63% 24.64% 24.65% 24.66% 24.68% 24.69% 24.70% 24.71% 24.72% 24.73% 24.74% 24.75% 24.76% 24.78% 24.79% 24.80% 24.81% 24.82% 24.83% 24.84% 24.85% 24.86% 24.88% 24.89% 24.90% 24.91% 24.92% 24.93% 24.94% 24.95% 24.96% 24.98% 24.99% 25.00% 25.01% 25.02% 25.03% 25.04% 25.05% 25.06% 25.07% 25.09% 25.10% 25.11% 25.12% 25.13% 25.14% 25.15% 25.16% 25.17% 25.19% 25.20% 25.21% 25.22% 25.23% 25.24% 25.25% 25.26% 25.27% 25.29% 25.30% 25.31% 25.32% 25.33% 25.34% 25.35% 25.36% 25.37% 25.39% 25.40% 25.41% 25.42% 25.43% 25.44% 25.45% 25.46% 25.47% 25.49% 25.50% 25.51% 25.52% 25.53% 25.54% 25.55% 25.56% 25.57% 25.59% 25.60% 25.61% 25.62% 25.63% 25.64% 25.65% 25.66% 25.67% 25.69% 25.70% 25.71% 25.72% 25.73% 25.74% 25.75% 25.76% 25.77% 25.79% 25.80% 25.81% 25.82% 25.83% 25.84% 25.85% 25.86% 25.87% 25.89% 25.90% 25.91% 25.92% 25.93% 25.94% 25.95% 25.96% 25.97% 25.99% 26.00% 26.01% 26.02% 26.03% 26.04% 26.05% 26.06% 26.07% 26.09% 26.10% 26.11% 26.12% 26.13% 26.14% 26.15% 26.16% 26.17% 26.19% 26.20% 26.21% 26.22% 26.23% 26.24% 26.25% 26.26% 26.27% 26.29% 26.30% 26.31% 26.32% 26.33% 26.34% 26.35% 26.36% 26.37% 26.39% 26.40% 26.41% 26.42% 26.43% 26.44% 26.45% 26.46% 26.47% 26.49% 26.50% 26.51% 26.52% 26.53% 26.54% 26.55% 26.56% 26.57% 26.59% 26.60% 26.61% 26.62% 26.63% 26.64% 26.65% 26.66% 26.67% 26.69% 26.70% 26.71% 26.72% 26.73% 26.74% 26.75% 26.76% 26.77% 26.79% 26.80% 26.81% 26.82% 26.83% 26.84% 26.85% 26.86% 26.87% 26.89% 26.90% 26.91% 26.92% 26.93% 26.94% 26.95% 26.96% 26.97% 26.99% 27.00% 27.01% 27.02% 27.03% 27.04% 27.05% 27.06% 27.07% 27.09% 27.10% 27.11% 27.12% 27.13% 27.14% 27.15% 27.16% 27.17% 27.19% 27.20% 27.21% 27.22% 27.23% 27.24% 27.25% 27.26% 27.27% 27.29% 27.30% 27.31% 27.32% 27.33% 27.34% 27.35% 27.36% 27.37% 27.39% 27.40% 27.41% 27.42% 27.43% 27.44% 27.45% 27.46% 27.47% 27.49% 27.50% 27.51% 27.52% 27.53% 27.54% 27.55% 27.56% 27.57% 27.59% 27.60% 27.61% 27.62% 27.63% 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29.23% 29.24% 29.25% 29.26% 29.27% 29.29% 29.30% 29.31% 29.32% 29.33% 29.34% 29.35% 29.36% 29.37% 29.39% 29.40% 29.41% 29.42% 29.43% 29.44% 29.45% 29.46% 29.47% 29.49% 29.50% 29.51% 29.52% 29.53% 29.54% 29.55% 29.56% 29.57% 29.59% 29.60% 29.61% 29.62% 29.63% 29.64% 29.65% 29.66% 29.67% 29.69% 29.70% 29.71% 29.72% 29.73% 29.74% 29.75% 29.76% 29.77% 29.79% 29.80% 29.81% 29.82% 29.83% 29.84% 29.85% 29.86% 29.87% 29.89% 29.90% 29.91% 29.92% 29.93% 29.94% 29.95% 29.96% 29.97% 29.99% 30.00% 30.01% 30.02% 30.03% 30.04% 30.05% 30.06% 30.07% 30.09% 30.10% 30.11% 30.12% 30.13% 30.14% 30.15% 30.16% 30.17% 30.19% 30.20% 30.21% 30.22% 30.23% 30.24% 30.25% 30.26% 30.27% 30.29% 30.30% 30.31% 30.32% 30.33% 30.34% 30.35% 30.36% 30.37% 30.39% 30.40% 30.41% 30.42% 30.43% 30.44% 30.45% 30.46% 30.47% 30.49% 30.50% 30.51% 30.52% 30.53% 30.54% 30.55% 30.56% 30.57% 30.59% 30.60% 30.61% 30.62% 30.63% 30.64% 30.65% 30.66% 30.67% 30.69% 30.70% 30.71% 30.72% 30.73% 30.74% 30.75% 30.76% 30.77% 30.79% 30.80% 30.81% 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34.00% 34.01% 34.02% 34.03% 34.04% 34.05% 34.06% 34.07% 34.09% 34.10% 34.11% 34.12% 34.13% 34.14% 34.15% 34.16% 34.17% 34.19% 34.20% 34.21% 34.22% 34.23% 34.24% 34.25% 34.26% 34.27% 34.29% 34.30% 34.31% 34.32% 34.33% 34.34% 34.35% 34.36% 34.37% 34.39% 34.40% 34.41% 34.42% 34.43% 34.44% 34.45% 34.46% 34.47% 34.49% 34.50% 34.51% 34.52% 34.53% 34.54% 34.55% 34.56% 34.57% 34.59% 34.60% 34.61% 34.62% 34.63% 34.64% 34.65% 34.66% 34.67% 34.69% 34.70% 34.71% 34.72% 34.73% 34.74% 34.75% 34.76% 34.77% 34.79% 34.80% 34.81% 34.82% 34.83% 34.84% 34.85% 34.86% 34.87% 34.89% 34.90% 34.91% 34.92% 34.93% 34.94% 34.95% 34.96% 34.97% 34.99% 35.00% 35.01% 35.02% 35.03% 35.04% 35.05% 35.06% 35.07% 35.08% 35.10% 35.11% 35.12% 35.13% 35.14% 35.15% 35.16% 35.17% 35.18% 35.20% 35.21% 35.22% 35.23% 35.24% 35.25% 35.26% 35.27% 35.28% 35.30% 35.31% 35.32% 35.33% 35.34% 35.35% 35.36% 35.37% 35.38% 35.40% 35.41% 35.42% 35.43% 35.44% 35.45% 35.46% 35.47% 35.48% 35.50% 35.51% 35.52% 35.53% 35.54% 35.55% 35.56% 35.57% 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81.66% 81.67% 81.68% 81.69% 81.70% 81.71% 81.72% 81.74% 81.75% 81.76% 81.77% 81.78% 81.79% 81.80% 81.81% 81.82% 81.84% 81.85% 81.86% 81.87% 81.88% 81.89% 81.90% 81.91% 81.92% 81.94% 81.95% 81.96% 81.97% 81.98% 81.99% 82.00% 82.01% 82.02% 82.04% 82.05% 82.06% 82.07% 82.08% 82.09% 82.10% 82.11% 82.12% 82.14% 82.15% 82.16% 82.17% 82.18% 82.19% 82.20% 82.21% 82.22% 82.24% 82.25% 82.26% 82.27% 82.28% 82.29% 82.30% 82.31% 82.32% 82.34% 82.35% 82.36% 82.37% 82.38% 82.39% 82.40% 82.41% 82.42% 82.44% 82.45% 82.46% 82.47% 82.48% 82.49% 82.50% 82.51% 82.52% 82.54% 82.55% 82.56% 82.57% 82.58% 82.59% 82.60% 82.61% 82.62% 82.64% 82.65% 82.66% 82.67% 82.68% 82.69% 82.70% 82.71% 82.72% 82.74% 82.75% 82.76% 82.77% 82.78% 82.79% 82.80% 82.81% 82.82% 82.84% 82.85% 82.86% 82.87% 82.88% 82.89% 82.90% 82.91% 82.92% 82.94% 82.95% 82.96% 82.97% 82.98% 82.99% 83.00% 83.01% 83.02% 83.04% 83.05% 83.06% 83.07% 83.08% 83.09% 83.10% 83.11% 83.12% 83.14% 83.15% 83.16% 83.17% 83.18% 83.19% 83.20% 83.21% 83.22% 83.24% 83.25% 83.26% 83.27% 83.28% 83.29% 83.30% 83.31% 83.32% 83.34% 83.35% 83.36% 83.37% 83.38% 83.39% 83.40% 83.41% 83.42% 83.44% 83.45% 83.46% 83.47% 83.48% 83.49% 83.50% 83.51% 83.52% 83.54% 83.55% 83.56% 83.57% 83.58% 83.59% 83.60% 83.61% 83.62% 83.64% 83.65% 83.66% 83.67% 83.68% 83.69% 83.70% 83.71% 83.72% 83.74% 83.75% 83.76% 83.77% 83.78% 83.79% 83.80% 83.81% 83.82% 83.84% 83.85% 83.86% 83.87% 83.88% 83.89% 83.90% 83.91% 83.92% 83.94% 83.95% 83.96% 83.97% 83.98% 83.99% 84.00% 84.01% 84.02% 84.04% 84.05% 84.06% 84.07% 84.08% 84.09% 84.10% 84.11% 84.12% 84.14% 84.15% 84.16% 84.17% 84.18% 84.19% 84.20% 84.21% 84.22% 84.24% 84.25% 84.26% 84.27% 84.28% 84.29% 84.30% 84.31% 84.32% 84.34% 84.35% 84.36% 84.37% 84.38% 84.39% 84.40% 84.41% 84.42% 84.44% 84.45% 84.46% 84.47% 84.48% 84.49% 84.50% 84.51% 84.52% 84.54% 84.55% 84.56% 84.57% 84.58% 84.59% 84.60% 84.61% 84.62% 84.64% 84.65% 84.66% 84.67% 84.68% 84.69% 84.70% 84.71% 84.72% 84.74% 84.75% 84.76% 84.77% 84.78% 84.79% 84.80% 84.81% 84.82% 84.84% 84.85% 84.86% 84.87% 84.88% 84.89% 84.90% 84.91% 84.92% 84.94% 84.95% 84.96% 84.97% 84.98% 84.99% 85.00% 85.01% 85.02% 85.03% 85.05% 85.06% 85.07% 85.08% 85.09% 85.10% 85.11% 85.12% 85.13% 85.15% 85.16% 85.17% 85.18% 85.19% 85.20% 85.21% 85.22% 85.23% 85.25% 85.26% 85.27% 85.28% 85.29% 85.30% 85.31% 85.32% 85.33% 85.35% 85.36% 85.37% 85.38% 85.39% 85.40% 85.41% 85.42% 85.43% 85.45% 85.46% 85.47% 85.48% 85.49% 85.50% 85.51% 85.52% 85.53% 85.55% 85.56% 85.57% 85.58% 85.59% 85.60% 85.61% 85.62% 85.63% 85.65% 85.66% 85.67% 85.68% 85.69% 85.70% 85.71% 85.72% 85.73% 85.75% 85.76% 85.77% 85.78% 85.79% 85.80% 85.81% 85.82% 85.83% 85.85% 85.86% 85.87% 85.88% 85.89% 85.90% 85.91% 85.92% 85.93% 85.95% 85.96% 85.97% 85.98% 85.99% 86.00% 86.01% 86.02% 86.03% 86.05% 86.06% 86.07% 86.08% 86.09% 86.10% 86.11% 86.12% 86.13% 86.15% 86.16% 86.17% 86.18% 86.19% 86.20% 86.21% 86.22% 86.23% 86.25% 86.26% 86.27% 86.28% 86.29% 86.30% 86.31% 86.32% 86.33% 86.35% 86.36% 86.37% 86.38% 86.39% 86.40% 86.41% 86.42% 86.43% 86.45% 86.46% 86.47% 86.48% 86.49% 86.50% 86.51% 86.52% 86.53% 86.55% 86.56% 86.57% 86.58% 86.59% 86.60% 86.61% 86.62% 86.63% 86.65% 86.66% 86.67% 86.68% 86.69% 86.70% 86.71% 86.72% 86.73% 86.75% 86.76% 86.77% 86.78% 86.79% 86.80% 86.81% 86.82% 86.83% 86.85% 86.86% 86.87% 86.88% 86.89% 86.90% 86.91% 86.92% 86.93% 86.95% 86.96% 86.97% 86.98% 86.99% 87.00% 87.01% 87.02% 87.03% 87.05% 87.06% 87.07% 87.08% 87.09% 87.10% 87.11% 87.12% 87.13% 87.15% 87.16% 87.17% 87.18% 87.19% 87.20% 87.21% 87.22% 87.23% 87.25% 87.26% 87.27% 87.28% 87.29% 87.30% 87.31% 87.32% 87.33% 87.35% 87.36% 87.37% 87.38% 87.39% 87.40% 87.41% 87.42% 87.43% 87.45% 87.46% 87.47% 87.48% 87.49% 87.50% 87.51% 87.52% 87.53% 87.55% 87.56% 87.57% 87.58% 87.59% 87.60% 87.61% 87.62% 87.63% 87.65% 87.66% 87.67% 87.68% 87.69% 87.70% 87.71% 87.72% 87.73% 87.75% 87.76% 87.77% 87.78% 87.79% 87.80% 87.81% 87.82% 87.83% 87.85% 87.86% 87.87% 87.88% 87.89% 87.90% 87.91% 87.92% 87.93% 87.95% 87.96% 87.97% 87.98% 87.99% 88.00% 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99.13% 99.14% 99.16% 99.17% 99.18% 99.19% 99.20% 99.21% 99.22% 99.23% 99.24% 99.26% 99.27% 99.28% 99.29% 99.30% 99.31% 99.32% 99.33% 99.34% 99.36% 99.37% 99.38% 99.39% 99.40% 99.41% 99.42% 99.43% 99.44% 99.46% 99.47% 99.48% 99.49% 99.50% 99.51% 99.52% 99.53% 99.54% 99.56% 99.57% 99.58% 99.59% 99.60% 99.61% 99.62% 99.63% 99.64% 99.66% 99.67% 99.68% 99.69% 99.70% 99.71% 99.72% 99.73% 99.74% 99.76% 99.77% 99.78% 99.79% 99.80% 99.81% 99.82% 99.83% 99.84% 99.86% 99.87% 99.88% 99.89% 99.90% 99.91% 99.92% 99.93% 99.94% 99.96% 99.97% 99.98% 99.99% 100.00% Adding p-values adjusted for testing multiple hypotheses Storing results: Tetracycline_resistance Skipping population structure-aware analyses. Storing results to file Storing results: Bogus_trait Skipping population structure-aware analyses. Storing results to file ==== Finished ==== Checked a total of 9001 genes for associations to 2 trait(s). Total time used: 11 seconds. Scoary finished successfully, but with WARNINGS. Please check your log file. Warning. Since 1.5.0 scoary.py is deprecated. Install Scoary using 'pip install scoary instead, and run using scoary ==== Scoary started ==== Command: scoary.py -g scoary/exampledata/Gene_presence_absence.csv -t scoary/exampledata/Tetracycline_resistance.csv -r scoary/exampledata/Restrict_to.csv -w -o Test3 --no-time Reading gene presence absence file Writing gene presence absence file for the reduced set of isolates Finished writing reduced gene presence absence list to file Test3/gene_presence_absence_reduced.csv Creating Hamming distance matrix based on gene presence/absence Building UPGMA tree from distance matrix Reading traits file WARNING: Some isolates have missing values for trait Bogus_trait. Missing-value isolates will not be counted in association analysis towards this trait. Finished loading files into memory. ==== Performing statistics ==== -- Filtration options -- Individual (Naive): 0.05 Collapse genes: False Tallying genes and performing statistical analyses Gene-wise counting and Fisher's exact tests for trait: Tetracycline_resistance 0.00% 0.01% 0.02% 0.03% 0.04% 0.06% 0.07% 0.08% 0.09% 0.10% 0.11% 0.12% 0.13% 0.14% 0.16% 0.17% 0.18% 0.19% 0.20% 0.21% 0.22% 0.23% 0.24% 0.26% 0.27% 0.28% 0.29% 0.30% 0.31% 0.32% 0.33% 0.34% 0.36% 0.37% 0.38% 0.39% 0.40% 0.41% 0.42% 0.43% 0.44% 0.46% 0.47% 0.48% 0.49% 0.50% 0.51% 0.52% 0.53% 0.54% 0.56% 0.57% 0.58% 0.59% 0.60% 0.61% 0.62% 0.63% 0.64% 0.66% 0.67% 0.68% 0.69% 0.70% 0.71% 0.72% 0.73% 0.74% 0.76% 0.77% 0.78% 0.79% 0.80% 0.81% 0.82% 0.83% 0.84% 0.86% 0.87% 0.88% 0.89% 0.90% 0.91% 0.92% 0.93% 0.94% 0.96% 0.97% 0.98% 0.99% 1.00% 1.01% 1.02% 1.03% 1.04% 1.06% 1.07% 1.08% 1.09% 1.10% 1.11% 1.12% 1.13% 1.14% 1.16% 1.17% 1.18% 1.19% 1.20% 1.21% 1.22% 1.23% 1.24% 1.26% 1.27% 1.28% 1.29% 1.30% 1.31% 1.32% 1.33% 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94.69% 94.70% 94.71% 94.72% 94.73% 94.75% 94.76% 94.77% 94.78% 94.79% 94.80% 94.81% 94.82% 94.83% 94.85% 94.86% 94.87% 94.88% 94.89% 94.90% 94.91% 94.92% 94.93% 94.95% 94.96% 94.97% 94.98% 94.99% 95.00% 95.01% 95.02% 95.03% 95.04% 95.06% 95.07% 95.08% 95.09% 95.10% 95.11% 95.12% 95.13% 95.14% 95.16% 95.17% 95.18% 95.19% 95.20% 95.21% 95.22% 95.23% 95.24% 95.26% 95.27% 95.28% 95.29% 95.30% 95.31% 95.32% 95.33% 95.34% 95.36% 95.37% 95.38% 95.39% 95.40% 95.41% 95.42% 95.43% 95.44% 95.46% 95.47% 95.48% 95.49% 95.50% 95.51% 95.52% 95.53% 95.54% 95.56% 95.57% 95.58% 95.59% 95.60% 95.61% 95.62% 95.63% 95.64% 95.66% 95.67% 95.68% 95.69% 95.70% 95.71% 95.72% 95.73% 95.74% 95.76% 95.77% 95.78% 95.79% 95.80% 95.81% 95.82% 95.83% 95.84% 95.86% 95.87% 95.88% 95.89% 95.90% 95.91% 95.92% 95.93% 95.94% 95.96% 95.97% 95.98% 95.99% 96.00% 96.01% 96.02% 96.03% 96.04% 96.06% 96.07% 96.08% 96.09% 96.10% 96.11% 96.12% 96.13% 96.14% 96.16% 96.17% 96.18% 96.19% 96.20% 96.21% 96.22% 96.23% 96.24% 96.26% 96.27% 96.28% 96.29% 96.30% 96.31% 96.32% 96.33% 96.34% 96.36% 96.37% 96.38% 96.39% 96.40% 96.41% 96.42% 96.43% 96.44% 96.46% 96.47% 96.48% 96.49% 96.50% 96.51% 96.52% 96.53% 96.54% 96.56% 96.57% 96.58% 96.59% 96.60% 96.61% 96.62% 96.63% 96.64% 96.66% 96.67% 96.68% 96.69% 96.70% 96.71% 96.72% 96.73% 96.74% 96.76% 96.77% 96.78% 96.79% 96.80% 96.81% 96.82% 96.83% 96.84% 96.86% 96.87% 96.88% 96.89% 96.90% 96.91% 96.92% 96.93% 96.94% 96.96% 96.97% 96.98% 96.99% 97.00% 97.01% 97.02% 97.03% 97.04% 97.06% 97.07% 97.08% 97.09% 97.10% 97.11% 97.12% 97.13% 97.14% 97.16% 97.17% 97.18% 97.19% 97.20% 97.21% 97.22% 97.23% 97.24% 97.26% 97.27% 97.28% 97.29% 97.30% 97.31% 97.32% 97.33% 97.34% 97.36% 97.37% 97.38% 97.39% 97.40% 97.41% 97.42% 97.43% 97.44% 97.46% 97.47% 97.48% 97.49% 97.50% 97.51% 97.52% 97.53% 97.54% 97.56% 97.57% 97.58% 97.59% 97.60% 97.61% 97.62% 97.63% 97.64% 97.66% 97.67% 97.68% 97.69% 97.70% 97.71% 97.72% 97.73% 97.74% 97.76% 97.77% 97.78% 97.79% 97.80% 97.81% 97.82% 97.83% 97.84% 97.86% 97.87% 97.88% 97.89% 97.90% 97.91% 97.92% 97.93% 97.94% 97.96% 97.97% 97.98% 97.99% 98.00% 98.01% 98.02% 98.03% 98.04% 98.06% 98.07% 98.08% 98.09% 98.10% 98.11% 98.12% 98.13% 98.14% 98.16% 98.17% 98.18% 98.19% 98.20% 98.21% 98.22% 98.23% 98.24% 98.26% 98.27% 98.28% 98.29% 98.30% 98.31% 98.32% 98.33% 98.34% 98.36% 98.37% 98.38% 98.39% 98.40% 98.41% 98.42% 98.43% 98.44% 98.46% 98.47% 98.48% 98.49% 98.50% 98.51% 98.52% 98.53% 98.54% 98.56% 98.57% 98.58% 98.59% 98.60% 98.61% 98.62% 98.63% 98.64% 98.66% 98.67% 98.68% 98.69% 98.70% 98.71% 98.72% 98.73% 98.74% 98.76% 98.77% 98.78% 98.79% 98.80% 98.81% 98.82% 98.83% 98.84% 98.86% 98.87% 98.88% 98.89% 98.90% 98.91% 98.92% 98.93% 98.94% 98.96% 98.97% 98.98% 98.99% 99.00% 99.01% 99.02% 99.03% 99.04% 99.06% 99.07% 99.08% 99.09% 99.10% 99.11% 99.12% 99.13% 99.14% 99.16% 99.17% 99.18% 99.19% 99.20% 99.21% 99.22% 99.23% 99.24% 99.26% 99.27% 99.28% 99.29% 99.30% 99.31% 99.32% 99.33% 99.34% 99.36% 99.37% 99.38% 99.39% 99.40% 99.41% 99.42% 99.43% 99.44% 99.46% 99.47% 99.48% 99.49% 99.50% 99.51% 99.52% 99.53% 99.54% 99.56% 99.57% 99.58% 99.59% 99.60% 99.61% 99.62% 99.63% 99.64% 99.66% 99.67% 99.68% 99.69% 99.70% 99.71% 99.72% 99.73% 99.74% 99.76% 99.77% 99.78% 99.79% 99.80% 99.81% 99.82% 99.83% 99.84% 99.86% 99.87% 99.88% 99.89% 99.90% 99.91% 99.92% 99.93% 99.94% 99.96% 99.97% 99.98% 99.99% 100.00% Adding p-values adjusted for testing multiple hypotheses Gene-wise counting and Fisher's exact tests for trait: Bogus_trait 0.00% 0.01% 0.02% 0.03% 0.04% 0.06% 0.07% 0.08% 0.09% 0.10% 0.11% 0.12% 0.13% 0.14% 0.16% 0.17% 0.18% 0.19% 0.20% 0.21% 0.22% 0.23% 0.24% 0.26% 0.27% 0.28% 0.29% 0.30% 0.31% 0.32% 0.33% 0.34% 0.36% 0.37% 0.38% 0.39% 0.40% 0.41% 0.42% 0.43% 0.44% 0.46% 0.47% 0.48% 0.49% 0.50% 0.51% 0.52% 0.53% 0.54% 0.56% 0.57% 0.58% 0.59% 0.60% 0.61% 0.62% 0.63% 0.64% 0.66% 0.67% 0.68% 0.69% 0.70% 0.71% 0.72% 0.73% 0.74% 0.76% 0.77% 0.78% 0.79% 0.80% 0.81% 0.82% 0.83% 0.84% 0.86% 0.87% 0.88% 0.89% 0.90% 0.91% 0.92% 0.93% 0.94% 0.96% 0.97% 0.98% 0.99% 1.00% 1.01% 1.02% 1.03% 1.04% 1.06% 1.07% 1.08% 1.09% 1.10% 1.11% 1.12% 1.13% 1.14% 1.16% 1.17% 1.18% 1.19% 1.20% 1.21% 1.22% 1.23% 1.24% 1.26% 1.27% 1.28% 1.29% 1.30% 1.31% 1.32% 1.33% 1.34% 1.36% 1.37% 1.38% 1.39% 1.40% 1.41% 1.42% 1.43% 1.44% 1.46% 1.47% 1.48% 1.49% 1.50% 1.51% 1.52% 1.53% 1.54% 1.56% 1.57% 1.58% 1.59% 1.60% 1.61% 1.62% 1.63% 1.64% 1.66% 1.67% 1.68% 1.69% 1.70% 1.71% 1.72% 1.73% 1.74% 1.76% 1.77% 1.78% 1.79% 1.80% 1.81% 1.82% 1.83% 1.84% 1.86% 1.87% 1.88% 1.89% 1.90% 1.91% 1.92% 1.93% 1.94% 1.96% 1.97% 1.98% 1.99% 2.00% 2.01% 2.02% 2.03% 2.04% 2.06% 2.07% 2.08% 2.09% 2.10% 2.11% 2.12% 2.13% 2.14% 2.16% 2.17% 2.18% 2.19% 2.20% 2.21% 2.22% 2.23% 2.24% 2.26% 2.27% 2.28% 2.29% 2.30% 2.31% 2.32% 2.33% 2.34% 2.36% 2.37% 2.38% 2.39% 2.40% 2.41% 2.42% 2.43% 2.44% 2.46% 2.47% 2.48% 2.49% 2.50% 2.51% 2.52% 2.53% 2.54% 2.56% 2.57% 2.58% 2.59% 2.60% 2.61% 2.62% 2.63% 2.64% 2.66% 2.67% 2.68% 2.69% 2.70% 2.71% 2.72% 2.73% 2.74% 2.76% 2.77% 2.78% 2.79% 2.80% 2.81% 2.82% 2.83% 2.84% 2.86% 2.87% 2.88% 2.89% 2.90% 2.91% 2.92% 2.93% 2.94% 2.96% 2.97% 2.98% 2.99% 3.00% 3.01% 3.02% 3.03% 3.04% 3.06% 3.07% 3.08% 3.09% 3.10% 3.11% 3.12% 3.13% 3.14% 3.16% 3.17% 3.18% 3.19% 3.20% 3.21% 3.22% 3.23% 3.24% 3.26% 3.27% 3.28% 3.29% 3.30% 3.31% 3.32% 3.33% 3.34% 3.36% 3.37% 3.38% 3.39% 3.40% 3.41% 3.42% 3.43% 3.44% 3.46% 3.47% 3.48% 3.49% 3.50% 3.51% 3.52% 3.53% 3.54% 3.56% 3.57% 3.58% 3.59% 3.60% 3.61% 3.62% 3.63% 3.64% 3.66% 3.67% 3.68% 3.69% 3.70% 3.71% 3.72% 3.73% 3.74% 3.76% 3.77% 3.78% 3.79% 3.80% 3.81% 3.82% 3.83% 3.84% 3.86% 3.87% 3.88% 3.89% 3.90% 3.91% 3.92% 3.93% 3.94% 3.96% 3.97% 3.98% 3.99% 4.00% 4.01% 4.02% 4.03% 4.04% 4.06% 4.07% 4.08% 4.09% 4.10% 4.11% 4.12% 4.13% 4.14% 4.16% 4.17% 4.18% 4.19% 4.20% 4.21% 4.22% 4.23% 4.24% 4.26% 4.27% 4.28% 4.29% 4.30% 4.31% 4.32% 4.33% 4.34% 4.36% 4.37% 4.38% 4.39% 4.40% 4.41% 4.42% 4.43% 4.44% 4.46% 4.47% 4.48% 4.49% 4.50% 4.51% 4.52% 4.53% 4.54% 4.56% 4.57% 4.58% 4.59% 4.60% 4.61% 4.62% 4.63% 4.64% 4.66% 4.67% 4.68% 4.69% 4.70% 4.71% 4.72% 4.73% 4.74% 4.76% 4.77% 4.78% 4.79% 4.80% 4.81% 4.82% 4.83% 4.84% 4.86% 4.87% 4.88% 4.89% 4.90% 4.91% 4.92% 4.93% 4.94% 4.96% 4.97% 4.98% 4.99% 5.00% 5.01% 5.02% 5.03% 5.04% 5.05% 5.07% 5.08% 5.09% 5.10% 5.11% 5.12% 5.13% 5.14% 5.15% 5.17% 5.18% 5.19% 5.20% 5.21% 5.22% 5.23% 5.24% 5.25% 5.27% 5.28% 5.29% 5.30% 5.31% 5.32% 5.33% 5.34% 5.35% 5.37% 5.38% 5.39% 5.40% 5.41% 5.42% 5.43% 5.44% 5.45% 5.47% 5.48% 5.49% 5.50% 5.51% 5.52% 5.53% 5.54% 5.55% 5.57% 5.58% 5.59% 5.60% 5.61% 5.62% 5.63% 5.64% 5.65% 5.67% 5.68% 5.69% 5.70% 5.71% 5.72% 5.73% 5.74% 5.75% 5.77% 5.78% 5.79% 5.80% 5.81% 5.82% 5.83% 5.84% 5.85% 5.87% 5.88% 5.89% 5.90% 5.91% 5.92% 5.93% 5.94% 5.95% 5.97% 5.98% 5.99% 6.00% 6.01% 6.02% 6.03% 6.04% 6.05% 6.07% 6.08% 6.09% 6.10% 6.11% 6.12% 6.13% 6.14% 6.15% 6.17% 6.18% 6.19% 6.20% 6.21% 6.22% 6.23% 6.24% 6.25% 6.27% 6.28% 6.29% 6.30% 6.31% 6.32% 6.33% 6.34% 6.35% 6.37% 6.38% 6.39% 6.40% 6.41% 6.42% 6.43% 6.44% 6.45% 6.47% 6.48% 6.49% 6.50% 6.51% 6.52% 6.53% 6.54% 6.55% 6.57% 6.58% 6.59% 6.60% 6.61% 6.62% 6.63% 6.64% 6.65% 6.67% 6.68% 6.69% 6.70% 6.71% 6.72% 6.73% 6.74% 6.75% 6.77% 6.78% 6.79% 6.80% 6.81% 6.82% 6.83% 6.84% 6.85% 6.87% 6.88% 6.89% 6.90% 6.91% 6.92% 6.93% 6.94% 6.95% 6.97% 6.98% 6.99% 7.00% 7.01% 7.02% 7.03% 7.04% 7.05% 7.07% 7.08% 7.09% 7.10% 7.11% 7.12% 7.13% 7.14% 7.15% 7.17% 7.18% 7.19% 7.20% 7.21% 7.22% 7.23% 7.24% 7.25% 7.27% 7.28% 7.29% 7.30% 7.31% 7.32% 7.33% 7.34% 7.35% 7.37% 7.38% 7.39% 7.40% 7.41% 7.42% 7.43% 7.44% 7.45% 7.47% 7.48% 7.49% 7.50% 7.51% 7.52% 7.53% 7.54% 7.55% 7.57% 7.58% 7.59% 7.60% 7.61% 7.62% 7.63% 7.64% 7.65% 7.67% 7.68% 7.69% 7.70% 7.71% 7.72% 7.73% 7.74% 7.75% 7.77% 7.78% 7.79% 7.80% 7.81% 7.82% 7.83% 7.84% 7.85% 7.87% 7.88% 7.89% 7.90% 7.91% 7.92% 7.93% 7.94% 7.95% 7.97% 7.98% 7.99% 8.00% 8.01% 8.02% 8.03% 8.04% 8.05% 8.07% 8.08% 8.09% 8.10% 8.11% 8.12% 8.13% 8.14% 8.15% 8.17% 8.18% 8.19% 8.20% 8.21% 8.22% 8.23% 8.24% 8.25% 8.27% 8.28% 8.29% 8.30% 8.31% 8.32% 8.33% 8.34% 8.35% 8.37% 8.38% 8.39% 8.40% 8.41% 8.42% 8.43% 8.44% 8.45% 8.47% 8.48% 8.49% 8.50% 8.51% 8.52% 8.53% 8.54% 8.55% 8.57% 8.58% 8.59% 8.60% 8.61% 8.62% 8.63% 8.64% 8.65% 8.67% 8.68% 8.69% 8.70% 8.71% 8.72% 8.73% 8.74% 8.75% 8.77% 8.78% 8.79% 8.80% 8.81% 8.82% 8.83% 8.84% 8.85% 8.87% 8.88% 8.89% 8.90% 8.91% 8.92% 8.93% 8.94% 8.95% 8.97% 8.98% 8.99% 9.00% 9.01% 9.02% 9.03% 9.04% 9.05% 9.07% 9.08% 9.09% 9.10% 9.11% 9.12% 9.13% 9.14% 9.15% 9.17% 9.18% 9.19% 9.20% 9.21% 9.22% 9.23% 9.24% 9.25% 9.27% 9.28% 9.29% 9.30% 9.31% 9.32% 9.33% 9.34% 9.35% 9.37% 9.38% 9.39% 9.40% 9.41% 9.42% 9.43% 9.44% 9.45% 9.47% 9.48% 9.49% 9.50% 9.51% 9.52% 9.53% 9.54% 9.55% 9.57% 9.58% 9.59% 9.60% 9.61% 9.62% 9.63% 9.64% 9.65% 9.67% 9.68% 9.69% 9.70% 9.71% 9.72% 9.73% 9.74% 9.75% 9.77% 9.78% 9.79% 9.80% 9.81% 9.82% 9.83% 9.84% 9.85% 9.87% 9.88% 9.89% 9.90% 9.91% 9.92% 9.93% 9.94% 9.95% 9.97% 9.98% 9.99% 10.00% 10.01% 10.02% 10.03% 10.04% 10.05% 10.07% 10.08% 10.09% 10.10% 10.11% 10.12% 10.13% 10.14% 10.15% 10.17% 10.18% 10.19% 10.20% 10.21% 10.22% 10.23% 10.24% 10.25% 10.27% 10.28% 10.29% 10.30% 10.31% 10.32% 10.33% 10.34% 10.35% 10.37% 10.38% 10.39% 10.40% 10.41% 10.42% 10.43% 10.44% 10.45% 10.47% 10.48% 10.49% 10.50% 10.51% 10.52% 10.53% 10.54% 10.55% 10.57% 10.58% 10.59% 10.60% 10.61% 10.62% 10.63% 10.64% 10.65% 10.67% 10.68% 10.69% 10.70% 10.71% 10.72% 10.73% 10.74% 10.75% 10.77% 10.78% 10.79% 10.80% 10.81% 10.82% 10.83% 10.84% 10.85% 10.87% 10.88% 10.89% 10.90% 10.91% 10.92% 10.93% 10.94% 10.95% 10.97% 10.98% 10.99% 11.00% 11.01% 11.02% 11.03% 11.04% 11.05% 11.07% 11.08% 11.09% 11.10% 11.11% 11.12% 11.13% 11.14% 11.15% 11.17% 11.18% 11.19% 11.20% 11.21% 11.22% 11.23% 11.24% 11.25% 11.27% 11.28% 11.29% 11.30% 11.31% 11.32% 11.33% 11.34% 11.35% 11.37% 11.38% 11.39% 11.40% 11.41% 11.42% 11.43% 11.44% 11.45% 11.47% 11.48% 11.49% 11.50% 11.51% 11.52% 11.53% 11.54% 11.55% 11.57% 11.58% 11.59% 11.60% 11.61% 11.62% 11.63% 11.64% 11.65% 11.67% 11.68% 11.69% 11.70% 11.71% 11.72% 11.73% 11.74% 11.75% 11.77% 11.78% 11.79% 11.80% 11.81% 11.82% 11.83% 11.84% 11.85% 11.87% 11.88% 11.89% 11.90% 11.91% 11.92% 11.93% 11.94% 11.95% 11.97% 11.98% 11.99% 12.00% 12.01% 12.02% 12.03% 12.04% 12.05% 12.07% 12.08% 12.09% 12.10% 12.11% 12.12% 12.13% 12.14% 12.15% 12.17% 12.18% 12.19% 12.20% 12.21% 12.22% 12.23% 12.24% 12.25% 12.27% 12.28% 12.29% 12.30% 12.31% 12.32% 12.33% 12.34% 12.35% 12.37% 12.38% 12.39% 12.40% 12.41% 12.42% 12.43% 12.44% 12.45% 12.47% 12.48% 12.49% 12.50% 12.51% 12.52% 12.53% 12.54% 12.55% 12.57% 12.58% 12.59% 12.60% 12.61% 12.62% 12.63% 12.64% 12.65% 12.67% 12.68% 12.69% 12.70% 12.71% 12.72% 12.73% 12.74% 12.75% 12.77% 12.78% 12.79% 12.80% 12.81% 12.82% 12.83% 12.84% 12.85% 12.87% 12.88% 12.89% 12.90% 12.91% 12.92% 12.93% 12.94% 12.95% 12.97% 12.98% 12.99% 13.00% 13.01% 13.02% 13.03% 13.04% 13.05% 13.07% 13.08% 13.09% 13.10% 13.11% 13.12% 13.13% 13.14% 13.15% 13.17% 13.18% 13.19% 13.20% 13.21% 13.22% 13.23% 13.24% 13.25% 13.27% 13.28% 13.29% 13.30% 13.31% 13.32% 13.33% 13.34% 13.35% 13.37% 13.38% 13.39% 13.40% 13.41% 13.42% 13.43% 13.44% 13.45% 13.47% 13.48% 13.49% 13.50% 13.51% 13.52% 13.53% 13.54% 13.55% 13.57% 13.58% 13.59% 13.60% 13.61% 13.62% 13.63% 13.64% 13.65% 13.67% 13.68% 13.69% 13.70% 13.71% 13.72% 13.73% 13.74% 13.75% 13.77% 13.78% 13.79% 13.80% 13.81% 13.82% 13.83% 13.84% 13.85% 13.87% 13.88% 13.89% 13.90% 13.91% 13.92% 13.93% 13.94% 13.95% 13.97% 13.98% 13.99% 14.00% 14.01% 14.02% 14.03% 14.04% 14.05% 14.07% 14.08% 14.09% 14.10% 14.11% 14.12% 14.13% 14.14% 14.15% 14.17% 14.18% 14.19% 14.20% 14.21% 14.22% 14.23% 14.24% 14.25% 14.27% 14.28% 14.29% 14.30% 14.31% 14.32% 14.33% 14.34% 14.35% 14.37% 14.38% 14.39% 14.40% 14.41% 14.42% 14.43% 14.44% 14.45% 14.47% 14.48% 14.49% 14.50% 14.51% 14.52% 14.53% 14.54% 14.55% 14.57% 14.58% 14.59% 14.60% 14.61% 14.62% 14.63% 14.64% 14.65% 14.67% 14.68% 14.69% 14.70% 14.71% 14.72% 14.73% 14.74% 14.75% 14.77% 14.78% 14.79% 14.80% 14.81% 14.82% 14.83% 14.84% 14.85% 14.87% 14.88% 14.89% 14.90% 14.91% 14.92% 14.93% 14.94% 14.95% 14.97% 14.98% 14.99% 15.00% 15.01% 15.02% 15.03% 15.04% 15.05% 15.06% 15.08% 15.09% 15.10% 15.11% 15.12% 15.13% 15.14% 15.15% 15.16% 15.18% 15.19% 15.20% 15.21% 15.22% 15.23% 15.24% 15.25% 15.26% 15.28% 15.29% 15.30% 15.31% 15.32% 15.33% 15.34% 15.35% 15.36% 15.38% 15.39% 15.40% 15.41% 15.42% 15.43% 15.44% 15.45% 15.46% 15.48% 15.49% 15.50% 15.51% 15.52% 15.53% 15.54% 15.55% 15.56% 15.58% 15.59% 15.60% 15.61% 15.62% 15.63% 15.64% 15.65% 15.66% 15.68% 15.69% 15.70% 15.71% 15.72% 15.73% 15.74% 15.75% 15.76% 15.78% 15.79% 15.80% 15.81% 15.82% 15.83% 15.84% 15.85% 15.86% 15.88% 15.89% 15.90% 15.91% 15.92% 15.93% 15.94% 15.95% 15.96% 15.98% 15.99% 16.00% 16.01% 16.02% 16.03% 16.04% 16.05% 16.06% 16.08% 16.09% 16.10% 16.11% 16.12% 16.13% 16.14% 16.15% 16.16% 16.18% 16.19% 16.20% 16.21% 16.22% 16.23% 16.24% 16.25% 16.26% 16.28% 16.29% 16.30% 16.31% 16.32% 16.33% 16.34% 16.35% 16.36% 16.38% 16.39% 16.40% 16.41% 16.42% 16.43% 16.44% 16.45% 16.46% 16.48% 16.49% 16.50% 16.51% 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89.60% 89.61% 89.62% 89.63% 89.65% 89.66% 89.67% 89.68% 89.69% 89.70% 89.71% 89.72% 89.73% 89.75% 89.76% 89.77% 89.78% 89.79% 89.80% 89.81% 89.82% 89.83% 89.85% 89.86% 89.87% 89.88% 89.89% 89.90% 89.91% 89.92% 89.93% 89.95% 89.96% 89.97% 89.98% 89.99% 90.00% 90.01% 90.02% 90.03% 90.05% 90.06% 90.07% 90.08% 90.09% 90.10% 90.11% 90.12% 90.13% 90.15% 90.16% 90.17% 90.18% 90.19% 90.20% 90.21% 90.22% 90.23% 90.25% 90.26% 90.27% 90.28% 90.29% 90.30% 90.31% 90.32% 90.33% 90.35% 90.36% 90.37% 90.38% 90.39% 90.40% 90.41% 90.42% 90.43% 90.45% 90.46% 90.47% 90.48% 90.49% 90.50% 90.51% 90.52% 90.53% 90.55% 90.56% 90.57% 90.58% 90.59% 90.60% 90.61% 90.62% 90.63% 90.65% 90.66% 90.67% 90.68% 90.69% 90.70% 90.71% 90.72% 90.73% 90.75% 90.76% 90.77% 90.78% 90.79% 90.80% 90.81% 90.82% 90.83% 90.85% 90.86% 90.87% 90.88% 90.89% 90.90% 90.91% 90.92% 90.93% 90.95% 90.96% 90.97% 90.98% 90.99% 91.00% 91.01% 91.02% 91.03% 91.05% 91.06% 91.07% 91.08% 91.09% 91.10% 91.11% 91.12% 91.13% 91.15% 91.16% 91.17% 91.18% 91.19% 91.20% 91.21% 91.22% 91.23% 91.25% 91.26% 91.27% 91.28% 91.29% 91.30% 91.31% 91.32% 91.33% 91.35% 91.36% 91.37% 91.38% 91.39% 91.40% 91.41% 91.42% 91.43% 91.45% 91.46% 91.47% 91.48% 91.49% 91.50% 91.51% 91.52% 91.53% 91.55% 91.56% 91.57% 91.58% 91.59% 91.60% 91.61% 91.62% 91.63% 91.65% 91.66% 91.67% 91.68% 91.69% 91.70% 91.71% 91.72% 91.73% 91.75% 91.76% 91.77% 91.78% 91.79% 91.80% 91.81% 91.82% 91.83% 91.85% 91.86% 91.87% 91.88% 91.89% 91.90% 91.91% 91.92% 91.93% 91.95% 91.96% 91.97% 91.98% 91.99% 92.00% 92.01% 92.02% 92.03% 92.05% 92.06% 92.07% 92.08% 92.09% 92.10% 92.11% 92.12% 92.13% 92.15% 92.16% 92.17% 92.18% 92.19% 92.20% 92.21% 92.22% 92.23% 92.25% 92.26% 92.27% 92.28% 92.29% 92.30% 92.31% 92.32% 92.33% 92.35% 92.36% 92.37% 92.38% 92.39% 92.40% 92.41% 92.42% 92.43% 92.45% 92.46% 92.47% 92.48% 92.49% 92.50% 92.51% 92.52% 92.53% 92.55% 92.56% 92.57% 92.58% 92.59% 92.60% 92.61% 92.62% 92.63% 92.65% 92.66% 92.67% 92.68% 92.69% 92.70% 92.71% 92.72% 92.73% 92.75% 92.76% 92.77% 92.78% 92.79% 92.80% 92.81% 92.82% 92.83% 92.85% 92.86% 92.87% 92.88% 92.89% 92.90% 92.91% 92.92% 92.93% 92.95% 92.96% 92.97% 92.98% 92.99% 93.00% 93.01% 93.02% 93.03% 93.05% 93.06% 93.07% 93.08% 93.09% 93.10% 93.11% 93.12% 93.13% 93.15% 93.16% 93.17% 93.18% 93.19% 93.20% 93.21% 93.22% 93.23% 93.25% 93.26% 93.27% 93.28% 93.29% 93.30% 93.31% 93.32% 93.33% 93.35% 93.36% 93.37% 93.38% 93.39% 93.40% 93.41% 93.42% 93.43% 93.45% 93.46% 93.47% 93.48% 93.49% 93.50% 93.51% 93.52% 93.53% 93.55% 93.56% 93.57% 93.58% 93.59% 93.60% 93.61% 93.62% 93.63% 93.65% 93.66% 93.67% 93.68% 93.69% 93.70% 93.71% 93.72% 93.73% 93.75% 93.76% 93.77% 93.78% 93.79% 93.80% 93.81% 93.82% 93.83% 93.85% 93.86% 93.87% 93.88% 93.89% 93.90% 93.91% 93.92% 93.93% 93.95% 93.96% 93.97% 93.98% 93.99% 94.00% 94.01% 94.02% 94.03% 94.05% 94.06% 94.07% 94.08% 94.09% 94.10% 94.11% 94.12% 94.13% 94.15% 94.16% 94.17% 94.18% 94.19% 94.20% 94.21% 94.22% 94.23% 94.25% 94.26% 94.27% 94.28% 94.29% 94.30% 94.31% 94.32% 94.33% 94.35% 94.36% 94.37% 94.38% 94.39% 94.40% 94.41% 94.42% 94.43% 94.45% 94.46% 94.47% 94.48% 94.49% 94.50% 94.51% 94.52% 94.53% 94.55% 94.56% 94.57% 94.58% 94.59% 94.60% 94.61% 94.62% 94.63% 94.65% 94.66% 94.67% 94.68% 94.69% 94.70% 94.71% 94.72% 94.73% 94.75% 94.76% 94.77% 94.78% 94.79% 94.80% 94.81% 94.82% 94.83% 94.85% 94.86% 94.87% 94.88% 94.89% 94.90% 94.91% 94.92% 94.93% 94.95% 94.96% 94.97% 94.98% 94.99% 95.00% 95.01% 95.02% 95.03% 95.04% 95.06% 95.07% 95.08% 95.09% 95.10% 95.11% 95.12% 95.13% 95.14% 95.16% 95.17% 95.18% 95.19% 95.20% 95.21% 95.22% 95.23% 95.24% 95.26% 95.27% 95.28% 95.29% 95.30% 95.31% 95.32% 95.33% 95.34% 95.36% 95.37% 95.38% 95.39% 95.40% 95.41% 95.42% 95.43% 95.44% 95.46% 95.47% 95.48% 95.49% 95.50% 95.51% 95.52% 95.53% 95.54% 95.56% 95.57% 95.58% 95.59% 95.60% 95.61% 95.62% 95.63% 95.64% 95.66% 95.67% 95.68% 95.69% 95.70% 95.71% 95.72% 95.73% 95.74% 95.76% 95.77% 95.78% 95.79% 95.80% 95.81% 95.82% 95.83% 95.84% 95.86% 95.87% 95.88% 95.89% 95.90% 95.91% 95.92% 95.93% 95.94% 95.96% 95.97% 95.98% 95.99% 96.00% 96.01% 96.02% 96.03% 96.04% 96.06% 96.07% 96.08% 96.09% 96.10% 96.11% 96.12% 96.13% 96.14% 96.16% 96.17% 96.18% 96.19% 96.20% 96.21% 96.22% 96.23% 96.24% 96.26% 96.27% 96.28% 96.29% 96.30% 96.31% 96.32% 96.33% 96.34% 96.36% 96.37% 96.38% 96.39% 96.40% 96.41% 96.42% 96.43% 96.44% 96.46% 96.47% 96.48% 96.49% 96.50% 96.51% 96.52% 96.53% 96.54% 96.56% 96.57% 96.58% 96.59% 96.60% 96.61% 96.62% 96.63% 96.64% 96.66% 96.67% 96.68% 96.69% 96.70% 96.71% 96.72% 96.73% 96.74% 96.76% 96.77% 96.78% 96.79% 96.80% 96.81% 96.82% 96.83% 96.84% 96.86% 96.87% 96.88% 96.89% 96.90% 96.91% 96.92% 96.93% 96.94% 96.96% 96.97% 96.98% 96.99% 97.00% 97.01% 97.02% 97.03% 97.04% 97.06% 97.07% 97.08% 97.09% 97.10% 97.11% 97.12% 97.13% 97.14% 97.16% 97.17% 97.18% 97.19% 97.20% 97.21% 97.22% 97.23% 97.24% 97.26% 97.27% 97.28% 97.29% 97.30% 97.31% 97.32% 97.33% 97.34% 97.36% 97.37% 97.38% 97.39% 97.40% 97.41% 97.42% 97.43% 97.44% 97.46% 97.47% 97.48% 97.49% 97.50% 97.51% 97.52% 97.53% 97.54% 97.56% 97.57% 97.58% 97.59% 97.60% 97.61% 97.62% 97.63% 97.64% 97.66% 97.67% 97.68% 97.69% 97.70% 97.71% 97.72% 97.73% 97.74% 97.76% 97.77% 97.78% 97.79% 97.80% 97.81% 97.82% 97.83% 97.84% 97.86% 97.87% 97.88% 97.89% 97.90% 97.91% 97.92% 97.93% 97.94% 97.96% 97.97% 97.98% 97.99% 98.00% 98.01% 98.02% 98.03% 98.04% 98.06% 98.07% 98.08% 98.09% 98.10% 98.11% 98.12% 98.13% 98.14% 98.16% 98.17% 98.18% 98.19% 98.20% 98.21% 98.22% 98.23% 98.24% 98.26% 98.27% 98.28% 98.29% 98.30% 98.31% 98.32% 98.33% 98.34% 98.36% 98.37% 98.38% 98.39% 98.40% 98.41% 98.42% 98.43% 98.44% 98.46% 98.47% 98.48% 98.49% 98.50% 98.51% 98.52% 98.53% 98.54% 98.56% 98.57% 98.58% 98.59% 98.60% 98.61% 98.62% 98.63% 98.64% 98.66% 98.67% 98.68% 98.69% 98.70% 98.71% 98.72% 98.73% 98.74% 98.76% 98.77% 98.78% 98.79% 98.80% 98.81% 98.82% 98.83% 98.84% 98.86% 98.87% 98.88% 98.89% 98.90% 98.91% 98.92% 98.93% 98.94% 98.96% 98.97% 98.98% 98.99% 99.00% 99.01% 99.02% 99.03% 99.04% 99.06% 99.07% 99.08% 99.09% 99.10% 99.11% 99.12% 99.13% 99.14% 99.16% 99.17% 99.18% 99.19% 99.20% 99.21% 99.22% 99.23% 99.24% 99.26% 99.27% 99.28% 99.29% 99.30% 99.31% 99.32% 99.33% 99.34% 99.36% 99.37% 99.38% 99.39% 99.40% 99.41% 99.42% 99.43% 99.44% 99.46% 99.47% 99.48% 99.49% 99.50% 99.51% 99.52% 99.53% 99.54% 99.56% 99.57% 99.58% 99.59% 99.60% 99.61% 99.62% 99.63% 99.64% 99.66% 99.67% 99.68% 99.69% 99.70% 99.71% 99.72% 99.73% 99.74% 99.76% 99.77% 99.78% 99.79% 99.80% 99.81% 99.82% 99.83% 99.84% 99.86% 99.87% 99.88% 99.89% 99.90% 99.91% 99.92% 99.93% 99.94% 99.96% 99.97% 99.98% 99.99% 100.00% Adding p-values adjusted for testing multiple hypotheses Storing results: Tetracycline_resistance Calculating max number of contrasting pairs for each nominally significant gene 0.02% 0.03% 0.05% 0.07% 0.08% 0.10% 0.12% 0.14% 0.15% 0.17% 0.19% 0.20% 0.22% 0.24% 0.25% 0.27% 0.29% 0.31% 0.32% 0.34% 0.36% 0.37% 0.39% 0.41% 0.42% 0.44% 0.46% 0.48% 0.49% 0.51% 0.53% 0.54% 0.56% 0.58% 0.59% 0.61% 0.63% 0.64% 0.66% 0.68% 0.70% 0.71% 0.73% 0.75% 0.76% 0.78% 0.80% 0.81% 0.83% 0.85% 0.87% 0.88% 0.90% 0.92% 0.93% 0.95% 0.97% 0.98% 1.00% 1.02% 1.04% 1.05% 1.07% 1.09% 1.10% 1.12% 1.14% 1.15% 1.17% 1.19% 1.21% 1.22% 1.24% 1.26% 1.27% 1.29% 1.31% 1.32% 1.34% 1.36% 1.37% 1.39% 1.41% 1.43% 1.44% 1.46% 1.48% 1.49% 1.51% 1.53% 1.54% 1.56% 1.58% 1.60% 1.61% 1.63% 1.65% 1.66% 1.68% 1.70% 1.71% 1.73% 1.75% 1.77% 1.78% 1.80% 1.82% 1.83% 1.85% 1.87% 1.88% 1.90% 1.92% 1.93% 1.95% 1.97% 1.99% 2.00% 2.02% 2.04% 2.05% 2.07% 2.09% 2.10% 2.12% 2.14% 2.16% 2.17% 2.19% 2.21% 2.22% 2.24% 2.26% 2.27% 2.29% 2.31% 2.33% 2.34% 2.36% 2.38% 2.39% 2.41% 2.43% 2.44% 2.46% 2.48% 2.49% 2.51% 2.53% 2.55% 2.56% 2.58% 2.60% 2.61% 2.63% 2.65% 2.66% 2.68% 2.70% 2.72% 2.73% 2.75% 2.77% 2.78% 2.80% 2.82% 2.83% 2.85% 2.87% 2.89% 2.90% 2.92% 2.94% 2.95% 2.97% 2.99% 3.00% 3.02% 3.04% 3.05% 3.07% 3.09% 3.11% 3.12% 3.14% 3.16% 3.17% 3.19% 3.21% 3.22% 3.24% 3.26% 3.28% 3.29% 3.31% 3.33% 3.34% 3.36% 3.38% 3.39% 3.41% 3.43% 3.45% 3.46% 3.48% 3.50% 3.51% 3.53% 3.55% 3.56% 3.58% 3.60% 3.62% 3.63% 3.65% 3.67% 3.68% 3.70% 3.72% 3.73% 3.75% 3.77% 3.78% 3.80% 3.82% 3.84% 3.85% 3.87% 3.89% 3.90% 3.92% 3.94% 3.95% 3.97% 3.99% 4.01% 4.02% 4.04% 4.06% 4.07% 4.09% 4.11% 4.12% 4.14% 4.16% 4.18% 4.19% 4.21% 4.23% 4.24% 4.26% 4.28% 4.29% 4.31% 4.33% 4.34% 4.36% 4.38% 4.40% 4.41% 4.43% 4.45% 4.46% 4.48% 4.50% 4.51% 4.53% 4.55% 4.57% 4.58% 4.60% 100.00% Storing results to file Storing results: Bogus_trait Calculating max number of contrasting pairs for each nominally significant gene 0.02% 0.03% 0.05% 0.07% 0.08% 0.10% 0.12% 0.14% 0.15% 0.17% 0.19% 0.20% 0.22% 0.24% 0.25% 0.27% 0.29% 0.31% 0.32% 0.34% 0.36% 0.37% 0.39% 0.41% 0.42% 0.44% 0.46% 0.48% 0.49% 0.51% 0.53% 0.54% 0.56% 0.58% 0.59% 0.61% 0.63% 0.65% 0.66% 0.68% 0.70% 0.71% 0.73% 0.75% 0.76% 0.78% 0.80% 0.82% 0.83% 0.85% 0.87% 0.88% 0.90% 0.92% 0.93% 0.95% 0.97% 0.98% 1.00% 1.02% 1.04% 1.05% 1.07% 1.09% 1.10% 1.12% 1.14% 1.15% 1.17% 1.19% 1.21% 1.22% 1.24% 1.26% 1.27% 1.29% 1.31% 1.32% 1.34% 1.36% 1.38% 1.39% 1.41% 1.43% 1.44% 1.46% 1.48% 1.49% 1.51% 1.53% 1.55% 1.56% 1.58% 1.60% 1.61% 1.63% 1.65% 1.66% 1.68% 1.70% 1.72% 1.73% 1.75% 1.77% 1.78% 1.80% 1.82% 1.83% 1.85% 1.87% 1.88% 1.90% 1.92% 1.94% 1.95% 1.97% 1.99% 2.00% 2.02% 2.04% 2.05% 2.07% 2.09% 2.11% 2.12% 2.14% 2.16% 2.17% 100.00% Storing results to file ==== Finished ==== Checked a total of 9001 genes for associations to 2 trait(s). Total time used: 9 seconds. Scoary finished successfully, but with WARNINGS. Please check your log file. Warning. Since 1.5.0 scoary.py is deprecated. Install Scoary using 'pip install scoary instead, and run using scoary ==== Scoary started ==== Command: scoary.py -g scoary/exampledata/Gene_presence_absence.csv -t scoary/exampledata/Tetracycline_resistance.csv -p 0.01 1E-5 -c B EPW --collapse -m 50 -u -n scoary/exampledata/ExampleTree.nwk --threads 4 -o Test4 --no-time Reading gene presence absence file Reading custom tree file Reading traits file WARNING: Some isolates have missing values for trait Bogus_trait. Missing-value isolates will not be counted in association analysis towards this trait. Finished loading files into memory. ==== Performing statistics ==== -- Filtration options -- Bonferroni: 0.01 Pairwise comparison (Entire range): 1e-05 Collapse genes: True Tallying genes and performing statistical analyses Gene-wise counting and Fisher's exact tests for trait: Tetracycline_resistance 0.00% 0.01% 0.02% 0.03% 0.04% 0.06% 0.07% 0.08% 0.09% 0.10% 0.11% 0.12% 0.13% 0.14% 0.16% 0.17% 0.18% 0.19% 0.20% 0.21% 0.22% 0.23% 0.24% 0.26% 0.27% 0.28% 0.29% 0.30% 0.31% 0.32% 0.33% 0.34% 0.36% 0.37% 0.38% 0.39% 0.40% 0.41% 0.42% 0.43% 0.44% 0.46% 0.47% 0.48% 0.49% 0.50% 0.51% 0.52% 0.53% 0.54% 0.56% 0.57% 0.58% 0.59% 0.60% 0.61% 0.62% 0.63% 0.64% 0.66% 0.67% 0.68% 0.69% 0.70% 0.71% 0.72% 0.73% 0.74% 0.76% 0.77% 0.78% 0.79% 0.80% 0.81% 0.82% 0.83% 0.84% 0.86% 0.87% 0.88% 0.89% 0.90% 0.91% 0.92% 0.93% 0.94% 0.96% 0.97% 0.98% 0.99% 1.00% 1.01% 1.02% 1.03% 1.04% 1.06% 1.07% 1.08% 1.09% 1.10% 1.11% 1.12% 1.13% 1.14% 1.16% 1.17% 1.18% 1.19% 1.20% 1.21% 1.22% 1.23% 1.24% 1.26% 1.27% 1.28% 1.29% 1.30% 1.31% 1.32% 1.33% 1.34% 1.36% 1.37% 1.38% 1.39% 1.40% 1.41% 1.42% 1.43% 1.44% 1.46% 1.47% 1.48% 1.49% 1.50% 1.51% 1.52% 1.53% 1.54% 1.56% 1.57% 1.58% 1.59% 1.60% 1.61% 1.62% 1.63% 1.64% 1.66% 1.67% 1.68% 1.69% 1.70% 1.71% 1.72% 1.73% 1.74% 1.76% 1.77% 1.78% 1.79% 1.80% 1.81% 1.82% 1.83% 1.84% 1.86% 1.87% 1.88% 1.89% 1.90% 1.91% 1.92% 1.93% 1.94% 1.96% 1.97% 1.98% 1.99% 2.00% 2.01% 2.02% 2.03% 2.04% 2.06% 2.07% 2.08% 2.09% 2.10% 2.11% 2.12% 2.13% 2.14% 2.16% 2.17% 2.18% 2.19% 2.20% 2.21% 2.22% 2.23% 2.24% 2.26% 2.27% 2.28% 2.29% 2.30% 2.31% 2.32% 2.33% 2.34% 2.36% 2.37% 2.38% 2.39% 2.40% 2.41% 2.42% 2.43% 2.44% 2.46% 2.47% 2.48% 2.49% 2.50% 2.51% 2.52% 2.53% 2.54% 2.56% 2.57% 2.58% 2.59% 2.60% 2.61% 2.62% 2.63% 2.64% 2.66% 2.67% 2.68% 2.69% 2.70% 2.71% 2.72% 2.73% 2.74% 2.76% 2.77% 2.78% 2.79% 2.80% 2.81% 2.82% 2.83% 2.84% 2.86% 2.87% 2.88% 2.89% 2.90% 2.91% 2.92% 2.93% 2.94% 2.96% 2.97% 2.98% 2.99% 3.00% 3.01% 3.02% 3.03% 3.04% 3.06% 3.07% 3.08% 3.09% 3.10% 3.11% 3.12% 3.13% 3.14% 3.16% 3.17% 3.18% 3.19% 3.20% 3.21% 3.22% 3.23% 3.24% 3.26% 3.27% 3.28% 3.29% 3.30% 3.31% 3.32% 3.33% 3.34% 3.36% 3.37% 3.38% 3.39% 3.40% 3.41% 3.42% 3.43% 3.44% 3.46% 3.47% 3.48% 3.49% 3.50% 3.51% 3.52% 3.53% 3.54% 3.56% 3.57% 3.58% 3.59% 3.60% 3.61% 3.62% 3.63% 3.64% 3.66% 3.67% 3.68% 3.69% 3.70% 3.71% 3.72% 3.73% 3.74% 3.76% 3.77% 3.78% 3.79% 3.80% 3.81% 3.82% 3.83% 3.84% 3.86% 3.87% 3.88% 3.89% 3.90% 3.91% 3.92% 3.93% 3.94% 3.96% 3.97% 3.98% 3.99% 4.00% 4.01% 4.02% 4.03% 4.04% 4.06% 4.07% 4.08% 4.09% 4.10% 4.11% 4.12% 4.13% 4.14% 4.16% 4.17% 4.18% 4.19% 4.20% 4.21% 4.22% 4.23% 4.24% 4.26% 4.27% 4.28% 4.29% 4.30% 4.31% 4.32% 4.33% 4.34% 4.36% 4.37% 4.38% 4.39% 4.40% 4.41% 4.42% 4.43% 4.44% 4.46% 4.47% 4.48% 4.49% 4.50% 4.51% 4.52% 4.53% 4.54% 4.56% 4.57% 4.58% 4.59% 4.60% 4.61% 4.62% 4.63% 4.64% 4.66% 4.67% 4.68% 4.69% 4.70% 4.71% 4.72% 4.73% 4.74% 4.76% 4.77% 4.78% 4.79% 4.80% 4.81% 4.82% 4.83% 4.84% 4.86% 4.87% 4.88% 4.89% 4.90% 4.91% 4.92% 4.93% 4.94% 4.96% 4.97% 4.98% 4.99% 5.00% 5.01% 5.02% 5.03% 5.04% 5.05% 5.07% 5.08% 5.09% 5.10% 5.11% 5.12% 5.13% 5.14% 5.15% 5.17% 5.18% 5.19% 5.20% 5.21% 5.22% 5.23% 5.24% 5.25% 5.27% 5.28% 5.29% 5.30% 5.31% 5.32% 5.33% 5.34% 5.35% 5.37% 5.38% 5.39% 5.40% 5.41% 5.42% 5.43% 5.44% 5.45% 5.47% 5.48% 5.49% 5.50% 5.51% 5.52% 5.53% 5.54% 5.55% 5.57% 5.58% 5.59% 5.60% 5.61% 5.62% 5.63% 5.64% 5.65% 5.67% 5.68% 5.69% 5.70% 5.71% 5.72% 5.73% 5.74% 5.75% 5.77% 5.78% 5.79% 5.80% 5.81% 5.82% 5.83% 5.84% 5.85% 5.87% 5.88% 5.89% 5.90% 5.91% 5.92% 5.93% 5.94% 5.95% 5.97% 5.98% 5.99% 6.00% 6.01% 6.02% 6.03% 6.04% 6.05% 6.07% 6.08% 6.09% 6.10% 6.11% 6.12% 6.13% 6.14% 6.15% 6.17% 6.18% 6.19% 6.20% 6.21% 6.22% 6.23% 6.24% 6.25% 6.27% 6.28% 6.29% 6.30% 6.31% 6.32% 6.33% 6.34% 6.35% 6.37% 6.38% 6.39% 6.40% 6.41% 6.42% 6.43% 6.44% 6.45% 6.47% 6.48% 6.49% 6.50% 6.51% 6.52% 6.53% 6.54% 6.55% 6.57% 6.58% 6.59% 6.60% 6.61% 6.62% 6.63% 6.64% 6.65% 6.67% 6.68% 6.69% 6.70% 6.71% 6.72% 6.73% 6.74% 6.75% 6.77% 6.78% 6.79% 6.80% 6.81% 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42.22% 42.23% 42.24% 42.25% 42.26% 42.27% 42.28% 42.30% 42.31% 42.32% 42.33% 42.34% 42.35% 42.36% 42.37% 42.38% 42.40% 42.41% 42.42% 42.43% 42.44% 42.45% 42.46% 42.47% 42.48% 42.50% 42.51% 42.52% 42.53% 42.54% 42.55% 42.56% 42.57% 42.58% 42.60% 42.61% 42.62% 42.63% 42.64% 42.65% 42.66% 42.67% 42.68% 42.70% 42.71% 42.72% 42.73% 42.74% 42.75% 42.76% 42.77% 42.78% 42.80% 42.81% 42.82% 42.83% 42.84% 42.85% 42.86% 42.87% 42.88% 42.90% 42.91% 42.92% 42.93% 42.94% 42.95% 42.96% 42.97% 42.98% 43.00% 43.01% 43.02% 43.03% 43.04% 43.05% 43.06% 43.07% 43.08% 43.10% 43.11% 43.12% 43.13% 43.14% 43.15% 43.16% 43.17% 43.18% 43.20% 43.21% 43.22% 43.23% 43.24% 43.25% 43.26% 43.27% 43.28% 43.30% 43.31% 43.32% 43.33% 43.34% 43.35% 43.36% 43.37% 43.38% 43.40% 43.41% 43.42% 43.43% 43.44% 43.45% 43.46% 43.47% 43.48% 43.50% 43.51% 43.52% 43.53% 43.54% 43.55% 43.56% 43.57% 43.58% 43.60% 43.61% 43.62% 43.63% 43.64% 43.65% 43.66% 43.67% 43.68% 43.70% 43.71% 43.72% 43.73% 43.74% 43.75% 43.76% 43.77% 43.78% 43.80% 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78.76% 78.77% 78.78% 78.79% 78.80% 78.81% 78.82% 78.84% 78.85% 78.86% 78.87% 78.88% 78.89% 78.90% 78.91% 78.92% 78.94% 78.95% 78.96% 78.97% 78.98% 78.99% 79.00% 79.01% 79.02% 79.04% 79.05% 79.06% 79.07% 79.08% 79.09% 79.10% 79.11% 79.12% 79.14% 79.15% 79.16% 79.17% 79.18% 79.19% 79.20% 79.21% 79.22% 79.24% 79.25% 79.26% 79.27% 79.28% 79.29% 79.30% 79.31% 79.32% 79.34% 79.35% 79.36% 79.37% 79.38% 79.39% 79.40% 79.41% 79.42% 79.44% 79.45% 79.46% 79.47% 79.48% 79.49% 79.50% 79.51% 79.52% 79.54% 79.55% 79.56% 79.57% 79.58% 79.59% 79.60% 79.61% 79.62% 79.64% 79.65% 79.66% 79.67% 79.68% 79.69% 79.70% 79.71% 79.72% 79.74% 79.75% 79.76% 79.77% 79.78% 79.79% 79.80% 79.81% 79.82% 79.84% 79.85% 79.86% 79.87% 79.88% 79.89% 79.90% 79.91% 79.92% 79.94% 79.95% 79.96% 79.97% 79.98% 79.99% 80.00% 80.01% 80.02% 80.04% 80.05% 80.06% 80.07% 80.08% 80.09% 80.10% 80.11% 80.12% 80.14% 80.15% 80.16% 80.17% 80.18% 80.19% 80.20% 80.21% 80.22% 80.24% 80.25% 80.26% 80.27% 80.28% 80.29% 80.30% 80.31% 80.32% 80.34% 80.35% 80.36% 80.37% 80.38% 80.39% 80.40% 80.41% 80.42% 80.44% 80.45% 80.46% 80.47% 80.48% 80.49% 80.50% 80.51% 80.52% 80.54% 80.55% 80.56% 80.57% 80.58% 80.59% 80.60% 80.61% 80.62% 80.64% 80.65% 80.66% 80.67% 80.68% 80.69% 80.70% 80.71% 80.72% 80.74% 80.75% 80.76% 80.77% 80.78% 80.79% 80.80% 80.81% 80.82% 80.84% 80.85% 80.86% 80.87% 80.88% 80.89% 80.90% 80.91% 80.92% 80.94% 80.95% 80.96% 80.97% 80.98% 80.99% 81.00% 81.01% 81.02% 81.04% 81.05% 81.06% 81.07% 81.08% 81.09% 81.10% 81.11% 81.12% 81.14% 81.15% 81.16% 81.17% 81.18% 81.19% 81.20% 81.21% 81.22% 81.24% 81.25% 81.26% 81.27% 81.28% 81.29% 81.30% 81.31% 81.32% 81.34% 81.35% 81.36% 81.37% 81.38% 81.39% 81.40% 81.41% 81.42% 81.44% 81.45% 81.46% 81.47% 81.48% 81.49% 81.50% 81.51% 81.52% 81.54% 81.55% 81.56% 81.57% 81.58% 81.59% 81.60% 81.61% 81.62% 81.64% 81.65% 81.66% 81.67% 81.68% 81.69% 81.70% 81.71% 81.72% 81.74% 81.75% 81.76% 81.77% 81.78% 81.79% 81.80% 81.81% 81.82% 81.84% 81.85% 81.86% 81.87% 81.88% 81.89% 81.90% 81.91% 81.92% 81.94% 81.95% 81.96% 81.97% 81.98% 81.99% 82.00% 82.01% 82.02% 82.04% 82.05% 82.06% 82.07% 82.08% 82.09% 82.10% 82.11% 82.12% 82.14% 82.15% 82.16% 82.17% 82.18% 82.19% 82.20% 82.21% 82.22% 82.24% 82.25% 82.26% 82.27% 82.28% 82.29% 82.30% 82.31% 82.32% 82.34% 82.35% 82.36% 82.37% 82.38% 82.39% 82.40% 82.41% 82.42% 82.44% 82.45% 82.46% 82.47% 82.48% 82.49% 82.50% 82.51% 82.52% 82.54% 82.55% 82.56% 82.57% 82.58% 82.59% 82.60% 82.61% 82.62% 82.64% 82.65% 82.66% 82.67% 82.68% 82.69% 82.70% 82.71% 82.72% 82.74% 82.75% 82.76% 82.77% 82.78% 82.79% 82.80% 82.81% 82.82% 82.84% 82.85% 82.86% 82.87% 82.88% 82.89% 82.90% 82.91% 82.92% 82.94% 82.95% 82.96% 82.97% 82.98% 82.99% 83.00% 83.01% 83.02% 83.04% 83.05% 83.06% 83.07% 83.08% 83.09% 83.10% 83.11% 83.12% 83.14% 83.15% 83.16% 83.17% 83.18% 83.19% 83.20% 83.21% 83.22% 83.24% 83.25% 83.26% 83.27% 83.28% 83.29% 83.30% 83.31% 83.32% 83.34% 83.35% 83.36% 83.37% 83.38% 83.39% 83.40% 83.41% 83.42% 83.44% 83.45% 83.46% 83.47% 83.48% 83.49% 83.50% 83.51% 83.52% 83.54% 83.55% 83.56% 83.57% 83.58% 83.59% 83.60% 83.61% 83.62% 83.64% 83.65% 83.66% 83.67% 83.68% 83.69% 83.70% 83.71% 83.72% 83.74% 83.75% 83.76% 83.77% 83.78% 83.79% 83.80% 83.81% 83.82% 83.84% 83.85% 83.86% 83.87% 83.88% 83.89% 83.90% 83.91% 83.92% 83.94% 83.95% 83.96% 83.97% 83.98% 83.99% 84.00% 84.01% 84.02% 84.04% 84.05% 84.06% 84.07% 84.08% 84.09% 84.10% 84.11% 84.12% 84.14% 84.15% 84.16% 84.17% 84.18% 84.19% 84.20% 84.21% 84.22% 84.24% 84.25% 84.26% 84.27% 84.28% 84.29% 84.30% 84.31% 84.32% 84.34% 84.35% 84.36% 84.37% 84.38% 84.39% 84.40% 84.41% 84.42% 84.44% 84.45% 84.46% 84.47% 84.48% 84.49% 84.50% 84.51% 84.52% 84.54% 84.55% 84.56% 84.57% 84.58% 84.59% 84.60% 84.61% 84.62% 84.64% 84.65% 84.66% 84.67% 84.68% 84.69% 84.70% 84.71% 84.72% 84.74% 84.75% 84.76% 84.77% 84.78% 84.79% 84.80% 84.81% 84.82% 84.84% 84.85% 84.86% 84.87% 84.88% 84.89% 84.90% 84.91% 84.92% 84.94% 84.95% 84.96% 84.97% 84.98% 84.99% 85.00% 85.01% 85.02% 85.03% 85.05% 85.06% 85.07% 85.08% 85.09% 85.10% 85.11% 85.12% 85.13% 85.15% 85.16% 85.17% 85.18% 85.19% 85.20% 85.21% 85.22% 85.23% 85.25% 85.26% 85.27% 85.28% 85.29% 85.30% 85.31% 85.32% 85.33% 85.35% 85.36% 85.37% 85.38% 85.39% 85.40% 85.41% 85.42% 85.43% 85.45% 85.46% 85.47% 85.48% 85.49% 85.50% 85.51% 85.52% 85.53% 85.55% 85.56% 85.57% 85.58% 85.59% 85.60% 85.61% 85.62% 85.63% 85.65% 85.66% 85.67% 85.68% 85.69% 85.70% 85.71% 85.72% 85.73% 85.75% 85.76% 85.77% 85.78% 85.79% 85.80% 85.81% 85.82% 85.83% 85.85% 85.86% 85.87% 85.88% 85.89% 85.90% 85.91% 85.92% 85.93% 85.95% 85.96% 85.97% 85.98% 85.99% 86.00% 86.01% 86.02% 86.03% 86.05% 86.06% 86.07% 86.08% 86.09% 86.10% 86.11% 86.12% 86.13% 86.15% 86.16% 86.17% 86.18% 86.19% 86.20% 86.21% 86.22% 86.23% 86.25% 86.26% 86.27% 86.28% 86.29% 86.30% 86.31% 86.32% 86.33% 86.35% 86.36% 86.37% 86.38% 86.39% 86.40% 86.41% 86.42% 86.43% 86.45% 86.46% 86.47% 86.48% 86.49% 86.50% 86.51% 86.52% 86.53% 86.55% 86.56% 86.57% 86.58% 86.59% 86.60% 86.61% 86.62% 86.63% 86.65% 86.66% 86.67% 86.68% 86.69% 86.70% 86.71% 86.72% 86.73% 86.75% 86.76% 86.77% 86.78% 86.79% 86.80% 86.81% 86.82% 86.83% 86.85% 86.86% 86.87% 86.88% 86.89% 86.90% 86.91% 86.92% 86.93% 86.95% 86.96% 86.97% 86.98% 86.99% 87.00% 87.01% 87.02% 87.03% 87.05% 87.06% 87.07% 87.08% 87.09% 87.10% 87.11% 87.12% 87.13% 87.15% 87.16% 87.17% 87.18% 87.19% 87.20% 87.21% 87.22% 87.23% 87.25% 87.26% 87.27% 87.28% 87.29% 87.30% 87.31% 87.32% 87.33% 87.35% 87.36% 87.37% 87.38% 87.39% 87.40% 87.41% 87.42% 87.43% 87.45% 87.46% 87.47% 87.48% 87.49% 87.50% 87.51% 87.52% 87.53% 87.55% 87.56% 87.57% 87.58% 87.59% 87.60% 87.61% 87.62% 87.63% 87.65% 87.66% 87.67% 87.68% 87.69% 87.70% 87.71% 87.72% 87.73% 87.75% 87.76% 87.77% 87.78% 87.79% 87.80% 87.81% 87.82% 87.83% 87.85% 87.86% 87.87% 87.88% 87.89% 87.90% 87.91% 87.92% 87.93% 87.95% 87.96% 87.97% 87.98% 87.99% 88.00% 88.01% 88.02% 88.03% 88.05% 88.06% 88.07% 88.08% 88.09% 88.10% 88.11% 88.12% 88.13% 88.15% 88.16% 88.17% 88.18% 88.19% 88.20% 88.21% 88.22% 88.23% 88.25% 88.26% 88.27% 88.28% 88.29% 88.30% 88.31% 88.32% 88.33% 88.35% 88.36% 88.37% 88.38% 88.39% 88.40% 88.41% 88.42% 88.43% 88.45% 88.46% 88.47% 88.48% 88.49% 88.50% 88.51% 88.52% 88.53% 88.55% 88.56% 88.57% 88.58% 88.59% 88.60% 88.61% 88.62% 88.63% 88.65% 88.66% 88.67% 88.68% 88.69% 88.70% 88.71% 88.72% 88.73% 88.75% 88.76% 88.77% 88.78% 88.79% 88.80% 88.81% 88.82% 88.83% 88.85% 88.86% 88.87% 88.88% 88.89% 88.90% 88.91% 88.92% 88.93% 88.95% 88.96% 88.97% 88.98% 88.99% 89.00% 89.01% 89.02% 89.03% 89.05% 89.06% 89.07% 89.08% 89.09% 89.10% 89.11% 89.12% 89.13% 89.15% 89.16% 89.17% 89.18% 89.19% 89.20% 89.21% 89.22% 89.23% 89.25% 89.26% 89.27% 89.28% 89.29% 89.30% 89.31% 89.32% 89.33% 89.35% 89.36% 89.37% 89.38% 89.39% 89.40% 89.41% 89.42% 89.43% 89.45% 89.46% 89.47% 89.48% 89.49% 89.50% 89.51% 89.52% 89.53% 89.55% 89.56% 89.57% 89.58% 89.59% 89.60% 89.61% 89.62% 89.63% 89.65% 89.66% 89.67% 89.68% 89.69% 89.70% 89.71% 89.72% 89.73% 89.75% 89.76% 89.77% 89.78% 89.79% 89.80% 89.81% 89.82% 89.83% 89.85% 89.86% 89.87% 89.88% 89.89% 89.90% 89.91% 89.92% 89.93% 89.95% 89.96% 89.97% 89.98% 89.99% 90.00% 90.01% 90.02% 90.03% 90.05% 90.06% 90.07% 90.08% 90.09% 90.10% 90.11% 90.12% 90.13% 90.15% 90.16% 90.17% 90.18% 90.19% 90.20% 90.21% 90.22% 90.23% 90.25% 90.26% 90.27% 90.28% 90.29% 90.30% 90.31% 90.32% 90.33% 90.35% 90.36% 90.37% 90.38% 90.39% 90.40% 90.41% 90.42% 90.43% 90.45% 90.46% 90.47% 90.48% 90.49% 90.50% 90.51% 90.52% 90.53% 90.55% 90.56% 90.57% 90.58% 90.59% 90.60% 90.61% 90.62% 90.63% 90.65% 90.66% 90.67% 90.68% 90.69% 90.70% 90.71% 90.72% 90.73% 90.75% 90.76% 90.77% 90.78% 90.79% 90.80% 90.81% 90.82% 90.83% 90.85% 90.86% 90.87% 90.88% 90.89% 90.90% 90.91% 90.92% 90.93% 90.95% 90.96% 90.97% 90.98% 90.99% 91.00% 91.01% 91.02% 91.03% 91.05% 91.06% 91.07% 91.08% 91.09% 91.10% 91.11% 91.12% 91.13% 91.15% 91.16% 91.17% 91.18% 91.19% 91.20% 91.21% 91.22% 91.23% 91.25% 91.26% 91.27% 91.28% 91.29% 91.30% 91.31% 91.32% 91.33% 91.35% 91.36% 91.37% 91.38% 91.39% 91.40% 91.41% 91.42% 91.43% 91.45% 91.46% 91.47% 91.48% 91.49% 91.50% 91.51% 91.52% 91.53% 91.55% 91.56% 91.57% 91.58% 91.59% 91.60% 91.61% 91.62% 91.63% 91.65% 91.66% 91.67% 91.68% 91.69% 91.70% 91.71% 91.72% 91.73% 91.75% 91.76% 91.77% 91.78% 91.79% 91.80% 91.81% 91.82% 91.83% 91.85% 91.86% 91.87% 91.88% 91.89% 91.90% 91.91% 91.92% 91.93% 91.95% 91.96% 91.97% 91.98% 91.99% 92.00% 92.01% 92.02% 92.03% 92.05% 92.06% 92.07% 92.08% 92.09% 92.10% 92.11% 92.12% 92.13% 92.15% 92.16% 92.17% 92.18% 92.19% 92.20% 92.21% 92.22% 92.23% 92.25% 92.26% 92.27% 92.28% 92.29% 92.30% 92.31% 92.32% 92.33% 92.35% 92.36% 92.37% 92.38% 92.39% 92.40% 92.41% 92.42% 92.43% 92.45% 92.46% 92.47% 92.48% 92.49% 92.50% 92.51% 92.52% 92.53% 92.55% 92.56% 92.57% 92.58% 92.59% 92.60% 92.61% 92.62% 92.63% 92.65% 92.66% 92.67% 92.68% 92.69% 92.70% 92.71% 92.72% 92.73% 92.75% 92.76% 92.77% 92.78% 92.79% 92.80% 92.81% 92.82% 92.83% 92.85% 92.86% 92.87% 92.88% 92.89% 92.90% 92.91% 92.92% 92.93% 92.95% 92.96% 92.97% 92.98% 92.99% 93.00% 93.01% 93.02% 93.03% 93.05% 93.06% 93.07% 93.08% 93.09% 93.10% 93.11% 93.12% 93.13% 93.15% 93.16% 93.17% 93.18% 93.19% 93.20% 93.21% 93.22% 93.23% 93.25% 93.26% 93.27% 93.28% 93.29% 93.30% 93.31% 93.32% 93.33% 93.35% 93.36% 93.37% 93.38% 93.39% 93.40% 93.41% 93.42% 93.43% 93.45% 93.46% 93.47% 93.48% 93.49% 93.50% 93.51% 93.52% 93.53% 93.55% 93.56% 93.57% 93.58% 93.59% 93.60% 93.61% 93.62% 93.63% 93.65% 93.66% 93.67% 93.68% 93.69% 93.70% 93.71% 93.72% 93.73% 93.75% 93.76% 93.77% 93.78% 93.79% 93.80% 93.81% 93.82% 93.83% 93.85% 93.86% 93.87% 93.88% 93.89% 93.90% 93.91% 93.92% 93.93% 93.95% 93.96% 93.97% 93.98% 93.99% 94.00% 94.01% 94.02% 94.03% 94.05% 94.06% 94.07% 94.08% 94.09% 94.10% 94.11% 94.12% 94.13% 94.15% 94.16% 94.17% 94.18% 94.19% 94.20% 94.21% 94.22% 94.23% 94.25% 94.26% 94.27% 94.28% 94.29% 94.30% 94.31% 94.32% 94.33% 94.35% 94.36% 94.37% 94.38% 94.39% 94.40% 94.41% 94.42% 94.43% 94.45% 94.46% 94.47% 94.48% 94.49% 94.50% 94.51% 94.52% 94.53% 94.55% 94.56% 94.57% 94.58% 94.59% 94.60% 94.61% 94.62% 94.63% 94.65% 94.66% 94.67% 94.68% 94.69% 94.70% 94.71% 94.72% 94.73% 94.75% 94.76% 94.77% 94.78% 94.79% 94.80% 94.81% 94.82% 94.83% 94.85% 94.86% 94.87% 94.88% 94.89% 94.90% 94.91% 94.92% 94.93% 94.95% 94.96% 94.97% 94.98% 94.99% 95.00% 95.01% 95.02% 95.03% 95.04% 95.06% 95.07% 95.08% 95.09% 95.10% 95.11% 95.12% 95.13% 95.14% 95.16% 95.17% 95.18% 95.19% 95.20% 95.21% 95.22% 95.23% 95.24% 95.26% 95.27% 95.28% 95.29% 95.30% 95.31% 95.32% 95.33% 95.34% 95.36% 95.37% 95.38% 95.39% 95.40% 95.41% 95.42% 95.43% 95.44% 95.46% 95.47% 95.48% 95.49% 95.50% 95.51% 95.52% 95.53% 95.54% 95.56% 95.57% 95.58% 95.59% 95.60% 95.61% 95.62% 95.63% 95.64% 95.66% 95.67% 95.68% 95.69% 95.70% 95.71% 95.72% 95.73% 95.74% 95.76% 95.77% 95.78% 95.79% 95.80% 95.81% 95.82% 95.83% 95.84% 95.86% 95.87% 95.88% 95.89% 95.90% 95.91% 95.92% 95.93% 95.94% 95.96% 95.97% 95.98% 95.99% 96.00% 96.01% 96.02% 96.03% 96.04% 96.06% 96.07% 96.08% 96.09% 96.10% 96.11% 96.12% 96.13% 96.14% 96.16% 96.17% 96.18% 96.19% 96.20% 96.21% 96.22% 96.23% 96.24% 96.26% 96.27% 96.28% 96.29% 96.30% 96.31% 96.32% 96.33% 96.34% 96.36% 96.37% 96.38% 96.39% 96.40% 96.41% 96.42% 96.43% 96.44% 96.46% 96.47% 96.48% 96.49% 96.50% 96.51% 96.52% 96.53% 96.54% 96.56% 96.57% 96.58% 96.59% 96.60% 96.61% 96.62% 96.63% 96.64% 96.66% 96.67% 96.68% 96.69% 96.70% 96.71% 96.72% 96.73% 96.74% 96.76% 96.77% 96.78% 96.79% 96.80% 96.81% 96.82% 96.83% 96.84% 96.86% 96.87% 96.88% 96.89% 96.90% 96.91% 96.92% 96.93% 96.94% 96.96% 96.97% 96.98% 96.99% 97.00% 97.01% 97.02% 97.03% 97.04% 97.06% 97.07% 97.08% 97.09% 97.10% 97.11% 97.12% 97.13% 97.14% 97.16% 97.17% 97.18% 97.19% 97.20% 97.21% 97.22% 97.23% 97.24% 97.26% 97.27% 97.28% 97.29% 97.30% 97.31% 97.32% 97.33% 97.34% 97.36% 97.37% 97.38% 97.39% 97.40% 97.41% 97.42% 97.43% 97.44% 97.46% 97.47% 97.48% 97.49% 97.50% 97.51% 97.52% 97.53% 97.54% 97.56% 97.57% 97.58% 97.59% 97.60% 97.61% 97.62% 97.63% 97.64% 97.66% 97.67% 97.68% 97.69% 97.70% 97.71% 97.72% 97.73% 97.74% 97.76% 97.77% 97.78% 97.79% 97.80% 97.81% 97.82% 97.83% 97.84% 97.86% 97.87% 97.88% 97.89% 97.90% 97.91% 97.92% 97.93% 97.94% 97.96% 97.97% 97.98% 97.99% 98.00% 98.01% 98.02% 98.03% 98.04% 98.06% 98.07% 98.08% 98.09% 98.10% 98.11% 98.12% 98.13% 98.14% 98.16% 98.17% 98.18% 98.19% 98.20% 98.21% 98.22% 98.23% 98.24% 98.26% 98.27% 98.28% 98.29% 98.30% 98.31% 98.32% 98.33% 98.34% 98.36% 98.37% 98.38% 98.39% 98.40% 98.41% 98.42% 98.43% 98.44% 98.46% 98.47% 98.48% 98.49% 98.50% 98.51% 98.52% 98.53% 98.54% 98.56% 98.57% 98.58% 98.59% 98.60% 98.61% 98.62% 98.63% 98.64% 98.66% 98.67% 98.68% 98.69% 98.70% 98.71% 98.72% 98.73% 98.74% 98.76% 98.77% 98.78% 98.79% 98.80% 98.81% 98.82% 98.83% 98.84% 98.86% 98.87% 98.88% 98.89% 98.90% 98.91% 98.92% 98.93% 98.94% 98.96% 98.97% 98.98% 98.99% 99.00% 99.01% 99.02% 99.03% 99.04% 99.06% 99.07% 99.08% 99.09% 99.10% 99.11% 99.12% 99.13% 99.14% 99.16% 99.17% 99.18% 99.19% 99.20% 99.21% 99.22% 99.23% 99.24% 99.26% 99.27% 99.28% 99.29% 99.30% 99.31% 99.32% 99.33% 99.34% 99.36% 99.37% 99.38% 99.39% 99.40% 99.41% 99.42% 99.43% 99.44% 99.46% 99.47% 99.48% 99.49% 99.50% 99.51% 99.52% 99.53% 99.54% 99.56% 99.57% 99.58% 99.59% 99.60% 99.61% 99.62% 99.63% 99.64% 99.66% 99.67% 99.68% 99.69% 99.70% 99.71% 99.72% 99.73% 99.74% 99.76% 99.77% 99.78% 99.79% 99.80% 99.81% 99.82% 99.83% 99.84% 99.86% 99.87% 99.88% 99.89% 99.90% 99.91% 99.92% 99.93% 99.94% 99.96% 99.97% 99.98% 99.99% 100.00% Adding p-values adjusted for testing multiple hypotheses Gene-wise counting and Fisher's exact tests for trait: Bogus_trait 0.00% 0.01% 0.02% 0.03% 0.04% 0.06% 0.07% 0.08% 0.09% 0.10% 0.11% 0.12% 0.13% 0.14% 0.16% 0.17% 0.18% 0.19% 0.20% 0.21% 0.22% 0.23% 0.24% 0.26% 0.27% 0.28% 0.29% 0.30% 0.31% 0.32% 0.33% 0.34% 0.36% 0.37% 0.38% 0.39% 0.40% 0.41% 0.42% 0.43% 0.44% 0.46% 0.47% 0.48% 0.49% 0.50% 0.51% 0.52% 0.53% 0.54% 0.56% 0.57% 0.58% 0.59% 0.60% 0.61% 0.62% 0.63% 0.64% 0.66% 0.67% 0.68% 0.69% 0.70% 0.71% 0.72% 0.73% 0.74% 0.76% 0.77% 0.78% 0.79% 0.80% 0.81% 0.82% 0.83% 0.84% 0.86% 0.87% 0.88% 0.89% 0.90% 0.91% 0.92% 0.93% 0.94% 0.96% 0.97% 0.98% 0.99% 1.00% 1.01% 1.02% 1.03% 1.04% 1.06% 1.07% 1.08% 1.09% 1.10% 1.11% 1.12% 1.13% 1.14% 1.16% 1.17% 1.18% 1.19% 1.20% 1.21% 1.22% 1.23% 1.24% 1.26% 1.27% 1.28% 1.29% 1.30% 1.31% 1.32% 1.33% 1.34% 1.36% 1.37% 1.38% 1.39% 1.40% 1.41% 1.42% 1.43% 1.44% 1.46% 1.47% 1.48% 1.49% 1.50% 1.51% 1.52% 1.53% 1.54% 1.56% 1.57% 1.58% 1.59% 1.60% 1.61% 1.62% 1.63% 1.64% 1.66% 1.67% 1.68% 1.69% 1.70% 1.71% 1.72% 1.73% 1.74% 1.76% 1.77% 1.78% 1.79% 1.80% 1.81% 1.82% 1.83% 1.84% 1.86% 1.87% 1.88% 1.89% 1.90% 1.91% 1.92% 1.93% 1.94% 1.96% 1.97% 1.98% 1.99% 2.00% 2.01% 2.02% 2.03% 2.04% 2.06% 2.07% 2.08% 2.09% 2.10% 2.11% 2.12% 2.13% 2.14% 2.16% 2.17% 2.18% 2.19% 2.20% 2.21% 2.22% 2.23% 2.24% 2.26% 2.27% 2.28% 2.29% 2.30% 2.31% 2.32% 2.33% 2.34% 2.36% 2.37% 2.38% 2.39% 2.40% 2.41% 2.42% 2.43% 2.44% 2.46% 2.47% 2.48% 2.49% 2.50% 2.51% 2.52% 2.53% 2.54% 2.56% 2.57% 2.58% 2.59% 2.60% 2.61% 2.62% 2.63% 2.64% 2.66% 2.67% 2.68% 2.69% 2.70% 2.71% 2.72% 2.73% 2.74% 2.76% 2.77% 2.78% 2.79% 2.80% 2.81% 2.82% 2.83% 2.84% 2.86% 2.87% 2.88% 2.89% 2.90% 2.91% 2.92% 2.93% 2.94% 2.96% 2.97% 2.98% 2.99% 3.00% 3.01% 3.02% 3.03% 3.04% 3.06% 3.07% 3.08% 3.09% 3.10% 3.11% 3.12% 3.13% 3.14% 3.16% 3.17% 3.18% 3.19% 3.20% 3.21% 3.22% 3.23% 3.24% 3.26% 3.27% 3.28% 3.29% 3.30% 3.31% 3.32% 3.33% 3.34% 3.36% 3.37% 3.38% 3.39% 3.40% 3.41% 3.42% 3.43% 3.44% 3.46% 3.47% 3.48% 3.49% 3.50% 3.51% 3.52% 3.53% 3.54% 3.56% 3.57% 3.58% 3.59% 3.60% 3.61% 3.62% 3.63% 3.64% 3.66% 3.67% 3.68% 3.69% 3.70% 3.71% 3.72% 3.73% 3.74% 3.76% 3.77% 3.78% 3.79% 3.80% 3.81% 3.82% 3.83% 3.84% 3.86% 3.87% 3.88% 3.89% 3.90% 3.91% 3.92% 3.93% 3.94% 3.96% 3.97% 3.98% 3.99% 4.00% 4.01% 4.02% 4.03% 4.04% 4.06% 4.07% 4.08% 4.09% 4.10% 4.11% 4.12% 4.13% 4.14% 4.16% 4.17% 4.18% 4.19% 4.20% 4.21% 4.22% 4.23% 4.24% 4.26% 4.27% 4.28% 4.29% 4.30% 4.31% 4.32% 4.33% 4.34% 4.36% 4.37% 4.38% 4.39% 4.40% 4.41% 4.42% 4.43% 4.44% 4.46% 4.47% 4.48% 4.49% 4.50% 4.51% 4.52% 4.53% 4.54% 4.56% 4.57% 4.58% 4.59% 4.60% 4.61% 4.62% 4.63% 4.64% 4.66% 4.67% 4.68% 4.69% 4.70% 4.71% 4.72% 4.73% 4.74% 4.76% 4.77% 4.78% 4.79% 4.80% 4.81% 4.82% 4.83% 4.84% 4.86% 4.87% 4.88% 4.89% 4.90% 4.91% 4.92% 4.93% 4.94% 4.96% 4.97% 4.98% 4.99% 5.00% 5.01% 5.02% 5.03% 5.04% 5.05% 5.07% 5.08% 5.09% 5.10% 5.11% 5.12% 5.13% 5.14% 5.15% 5.17% 5.18% 5.19% 5.20% 5.21% 5.22% 5.23% 5.24% 5.25% 5.27% 5.28% 5.29% 5.30% 5.31% 5.32% 5.33% 5.34% 5.35% 5.37% 5.38% 5.39% 5.40% 5.41% 5.42% 5.43% 5.44% 5.45% 5.47% 5.48% 5.49% 5.50% 5.51% 5.52% 5.53% 5.54% 5.55% 5.57% 5.58% 5.59% 5.60% 5.61% 5.62% 5.63% 5.64% 5.65% 5.67% 5.68% 5.69% 5.70% 5.71% 5.72% 5.73% 5.74% 5.75% 5.77% 5.78% 5.79% 5.80% 5.81% 5.82% 5.83% 5.84% 5.85% 5.87% 5.88% 5.89% 5.90% 5.91% 5.92% 5.93% 5.94% 5.95% 5.97% 5.98% 5.99% 6.00% 6.01% 6.02% 6.03% 6.04% 6.05% 6.07% 6.08% 6.09% 6.10% 6.11% 6.12% 6.13% 6.14% 6.15% 6.17% 6.18% 6.19% 6.20% 6.21% 6.22% 6.23% 6.24% 6.25% 6.27% 6.28% 6.29% 6.30% 6.31% 6.32% 6.33% 6.34% 6.35% 6.37% 6.38% 6.39% 6.40% 6.41% 6.42% 6.43% 6.44% 6.45% 6.47% 6.48% 6.49% 6.50% 6.51% 6.52% 6.53% 6.54% 6.55% 6.57% 6.58% 6.59% 6.60% 6.61% 6.62% 6.63% 6.64% 6.65% 6.67% 6.68% 6.69% 6.70% 6.71% 6.72% 6.73% 6.74% 6.75% 6.77% 6.78% 6.79% 6.80% 6.81% 6.82% 6.83% 6.84% 6.85% 6.87% 6.88% 6.89% 6.90% 6.91% 6.92% 6.93% 6.94% 6.95% 6.97% 6.98% 6.99% 7.00% 7.01% 7.02% 7.03% 7.04% 7.05% 7.07% 7.08% 7.09% 7.10% 7.11% 7.12% 7.13% 7.14% 7.15% 7.17% 7.18% 7.19% 7.20% 7.21% 7.22% 7.23% 7.24% 7.25% 7.27% 7.28% 7.29% 7.30% 7.31% 7.32% 7.33% 7.34% 7.35% 7.37% 7.38% 7.39% 7.40% 7.41% 7.42% 7.43% 7.44% 7.45% 7.47% 7.48% 7.49% 7.50% 7.51% 7.52% 7.53% 7.54% 7.55% 7.57% 7.58% 7.59% 7.60% 7.61% 7.62% 7.63% 7.64% 7.65% 7.67% 7.68% 7.69% 7.70% 7.71% 7.72% 7.73% 7.74% 7.75% 7.77% 7.78% 7.79% 7.80% 7.81% 7.82% 7.83% 7.84% 7.85% 7.87% 7.88% 7.89% 7.90% 7.91% 7.92% 7.93% 7.94% 7.95% 7.97% 7.98% 7.99% 8.00% 8.01% 8.02% 8.03% 8.04% 8.05% 8.07% 8.08% 8.09% 8.10% 8.11% 8.12% 8.13% 8.14% 8.15% 8.17% 8.18% 8.19% 8.20% 8.21% 8.22% 8.23% 8.24% 8.25% 8.27% 8.28% 8.29% 8.30% 8.31% 8.32% 8.33% 8.34% 8.35% 8.37% 8.38% 8.39% 8.40% 8.41% 8.42% 8.43% 8.44% 8.45% 8.47% 8.48% 8.49% 8.50% 8.51% 8.52% 8.53% 8.54% 8.55% 8.57% 8.58% 8.59% 8.60% 8.61% 8.62% 8.63% 8.64% 8.65% 8.67% 8.68% 8.69% 8.70% 8.71% 8.72% 8.73% 8.74% 8.75% 8.77% 8.78% 8.79% 8.80% 8.81% 8.82% 8.83% 8.84% 8.85% 8.87% 8.88% 8.89% 8.90% 8.91% 8.92% 8.93% 8.94% 8.95% 8.97% 8.98% 8.99% 9.00% 9.01% 9.02% 9.03% 9.04% 9.05% 9.07% 9.08% 9.09% 9.10% 9.11% 9.12% 9.13% 9.14% 9.15% 9.17% 9.18% 9.19% 9.20% 9.21% 9.22% 9.23% 9.24% 9.25% 9.27% 9.28% 9.29% 9.30% 9.31% 9.32% 9.33% 9.34% 9.35% 9.37% 9.38% 9.39% 9.40% 9.41% 9.42% 9.43% 9.44% 9.45% 9.47% 9.48% 9.49% 9.50% 9.51% 9.52% 9.53% 9.54% 9.55% 9.57% 9.58% 9.59% 9.60% 9.61% 9.62% 9.63% 9.64% 9.65% 9.67% 9.68% 9.69% 9.70% 9.71% 9.72% 9.73% 9.74% 9.75% 9.77% 9.78% 9.79% 9.80% 9.81% 9.82% 9.83% 9.84% 9.85% 9.87% 9.88% 9.89% 9.90% 9.91% 9.92% 9.93% 9.94% 9.95% 9.97% 9.98% 9.99% 10.00% 10.01% 10.02% 10.03% 10.04% 10.05% 10.07% 10.08% 10.09% 10.10% 10.11% 10.12% 10.13% 10.14% 10.15% 10.17% 10.18% 10.19% 10.20% 10.21% 10.22% 10.23% 10.24% 10.25% 10.27% 10.28% 10.29% 10.30% 10.31% 10.32% 10.33% 10.34% 10.35% 10.37% 10.38% 10.39% 10.40% 10.41% 10.42% 10.43% 10.44% 10.45% 10.47% 10.48% 10.49% 10.50% 10.51% 10.52% 10.53% 10.54% 10.55% 10.57% 10.58% 10.59% 10.60% 10.61% 10.62% 10.63% 10.64% 10.65% 10.67% 10.68% 10.69% 10.70% 10.71% 10.72% 10.73% 10.74% 10.75% 10.77% 10.78% 10.79% 10.80% 10.81% 10.82% 10.83% 10.84% 10.85% 10.87% 10.88% 10.89% 10.90% 10.91% 10.92% 10.93% 10.94% 10.95% 10.97% 10.98% 10.99% 11.00% 11.01% 11.02% 11.03% 11.04% 11.05% 11.07% 11.08% 11.09% 11.10% 11.11% 11.12% 11.13% 11.14% 11.15% 11.17% 11.18% 11.19% 11.20% 11.21% 11.22% 11.23% 11.24% 11.25% 11.27% 11.28% 11.29% 11.30% 11.31% 11.32% 11.33% 11.34% 11.35% 11.37% 11.38% 11.39% 11.40% 11.41% 11.42% 11.43% 11.44% 11.45% 11.47% 11.48% 11.49% 11.50% 11.51% 11.52% 11.53% 11.54% 11.55% 11.57% 11.58% 11.59% 11.60% 11.61% 11.62% 11.63% 11.64% 11.65% 11.67% 11.68% 11.69% 11.70% 11.71% 11.72% 11.73% 11.74% 11.75% 11.77% 11.78% 11.79% 11.80% 11.81% 11.82% 11.83% 11.84% 11.85% 11.87% 11.88% 11.89% 11.90% 11.91% 11.92% 11.93% 11.94% 11.95% 11.97% 11.98% 11.99% 12.00% 12.01% 12.02% 12.03% 12.04% 12.05% 12.07% 12.08% 12.09% 12.10% 12.11% 12.12% 12.13% 12.14% 12.15% 12.17% 12.18% 12.19% 12.20% 12.21% 12.22% 12.23% 12.24% 12.25% 12.27% 12.28% 12.29% 12.30% 12.31% 12.32% 12.33% 12.34% 12.35% 12.37% 12.38% 12.39% 12.40% 12.41% 12.42% 12.43% 12.44% 12.45% 12.47% 12.48% 12.49% 12.50% 12.51% 12.52% 12.53% 12.54% 12.55% 12.57% 12.58% 12.59% 12.60% 12.61% 12.62% 12.63% 12.64% 12.65% 12.67% 12.68% 12.69% 12.70% 12.71% 12.72% 12.73% 12.74% 12.75% 12.77% 12.78% 12.79% 12.80% 12.81% 12.82% 12.83% 12.84% 12.85% 12.87% 12.88% 12.89% 12.90% 12.91% 12.92% 12.93% 12.94% 12.95% 12.97% 12.98% 12.99% 13.00% 13.01% 13.02% 13.03% 13.04% 13.05% 13.07% 13.08% 13.09% 13.10% 13.11% 13.12% 13.13% 13.14% 13.15% 13.17% 13.18% 13.19% 13.20% 13.21% 13.22% 13.23% 13.24% 13.25% 13.27% 13.28% 13.29% 13.30% 13.31% 13.32% 13.33% 13.34% 13.35% 13.37% 13.38% 13.39% 13.40% 13.41% 13.42% 13.43% 13.44% 13.45% 13.47% 13.48% 13.49% 13.50% 13.51% 13.52% 13.53% 13.54% 13.55% 13.57% 13.58% 13.59% 13.60% 13.61% 13.62% 13.63% 13.64% 13.65% 13.67% 13.68% 13.69% 13.70% 13.71% 13.72% 13.73% 13.74% 13.75% 13.77% 13.78% 13.79% 13.80% 13.81% 13.82% 13.83% 13.84% 13.85% 13.87% 13.88% 13.89% 13.90% 13.91% 13.92% 13.93% 13.94% 13.95% 13.97% 13.98% 13.99% 14.00% 14.01% 14.02% 14.03% 14.04% 14.05% 14.07% 14.08% 14.09% 14.10% 14.11% 14.12% 14.13% 14.14% 14.15% 14.17% 14.18% 14.19% 14.20% 14.21% 14.22% 14.23% 14.24% 14.25% 14.27% 14.28% 14.29% 14.30% 14.31% 14.32% 14.33% 14.34% 14.35% 14.37% 14.38% 14.39% 14.40% 14.41% 14.42% 14.43% 14.44% 14.45% 14.47% 14.48% 14.49% 14.50% 14.51% 14.52% 14.53% 14.54% 14.55% 14.57% 14.58% 14.59% 14.60% 14.61% 14.62% 14.63% 14.64% 14.65% 14.67% 14.68% 14.69% 14.70% 14.71% 14.72% 14.73% 14.74% 14.75% 14.77% 14.78% 14.79% 14.80% 14.81% 14.82% 14.83% 14.84% 14.85% 14.87% 14.88% 14.89% 14.90% 14.91% 14.92% 14.93% 14.94% 14.95% 14.97% 14.98% 14.99% 15.00% 15.01% 15.02% 15.03% 15.04% 15.05% 15.06% 15.08% 15.09% 15.10% 15.11% 15.12% 15.13% 15.14% 15.15% 15.16% 15.18% 15.19% 15.20% 15.21% 15.22% 15.23% 15.24% 15.25% 15.26% 15.28% 15.29% 15.30% 15.31% 15.32% 15.33% 15.34% 15.35% 15.36% 15.38% 15.39% 15.40% 15.41% 15.42% 15.43% 15.44% 15.45% 15.46% 15.48% 15.49% 15.50% 15.51% 15.52% 15.53% 15.54% 15.55% 15.56% 15.58% 15.59% 15.60% 15.61% 15.62% 15.63% 15.64% 15.65% 15.66% 15.68% 15.69% 15.70% 15.71% 15.72% 15.73% 15.74% 15.75% 15.76% 15.78% 15.79% 15.80% 15.81% 15.82% 15.83% 15.84% 15.85% 15.86% 15.88% 15.89% 15.90% 15.91% 15.92% 15.93% 15.94% 15.95% 15.96% 15.98% 15.99% 16.00% 16.01% 16.02% 16.03% 16.04% 16.05% 16.06% 16.08% 16.09% 16.10% 16.11% 16.12% 16.13% 16.14% 16.15% 16.16% 16.18% 16.19% 16.20% 16.21% 16.22% 16.23% 16.24% 16.25% 16.26% 16.28% 16.29% 16.30% 16.31% 16.32% 16.33% 16.34% 16.35% 16.36% 16.38% 16.39% 16.40% 16.41% 16.42% 16.43% 16.44% 16.45% 16.46% 16.48% 16.49% 16.50% 16.51% 16.52% 16.53% 16.54% 16.55% 16.56% 16.58% 16.59% 16.60% 16.61% 16.62% 16.63% 16.64% 16.65% 16.66% 16.68% 16.69% 16.70% 16.71% 16.72% 16.73% 16.74% 16.75% 16.76% 16.78% 16.79% 16.80% 16.81% 16.82% 16.83% 16.84% 16.85% 16.86% 16.88% 16.89% 16.90% 16.91% 16.92% 16.93% 16.94% 16.95% 16.96% 16.98% 16.99% 17.00% 17.01% 17.02% 17.03% 17.04% 17.05% 17.06% 17.08% 17.09% 17.10% 17.11% 17.12% 17.13% 17.14% 17.15% 17.16% 17.18% 17.19% 17.20% 17.21% 17.22% 17.23% 17.24% 17.25% 17.26% 17.28% 17.29% 17.30% 17.31% 17.32% 17.33% 17.34% 17.35% 17.36% 17.38% 17.39% 17.40% 17.41% 17.42% 17.43% 17.44% 17.45% 17.46% 17.48% 17.49% 17.50% 17.51% 17.52% 17.53% 17.54% 17.55% 17.56% 17.58% 17.59% 17.60% 17.61% 17.62% 17.63% 17.64% 17.65% 17.66% 17.68% 17.69% 17.70% 17.71% 17.72% 17.73% 17.74% 17.75% 17.76% 17.78% 17.79% 17.80% 17.81% 17.82% 17.83% 17.84% 17.85% 17.86% 17.88% 17.89% 17.90% 17.91% 17.92% 17.93% 17.94% 17.95% 17.96% 17.98% 17.99% 18.00% 18.01% 18.02% 18.03% 18.04% 18.05% 18.06% 18.08% 18.09% 18.10% 18.11% 18.12% 18.13% 18.14% 18.15% 18.16% 18.18% 18.19% 18.20% 18.21% 18.22% 18.23% 18.24% 18.25% 18.26% 18.28% 18.29% 18.30% 18.31% 18.32% 18.33% 18.34% 18.35% 18.36% 18.38% 18.39% 18.40% 18.41% 18.42% 18.43% 18.44% 18.45% 18.46% 18.48% 18.49% 18.50% 18.51% 18.52% 18.53% 18.54% 18.55% 18.56% 18.58% 18.59% 18.60% 18.61% 18.62% 18.63% 18.64% 18.65% 18.66% 18.68% 18.69% 18.70% 18.71% 18.72% 18.73% 18.74% 18.75% 18.76% 18.78% 18.79% 18.80% 18.81% 18.82% 18.83% 18.84% 18.85% 18.86% 18.88% 18.89% 18.90% 18.91% 18.92% 18.93% 18.94% 18.95% 18.96% 18.98% 18.99% 19.00% 19.01% 19.02% 19.03% 19.04% 19.05% 19.06% 19.08% 19.09% 19.10% 19.11% 19.12% 19.13% 19.14% 19.15% 19.16% 19.18% 19.19% 19.20% 19.21% 19.22% 19.23% 19.24% 19.25% 19.26% 19.28% 19.29% 19.30% 19.31% 19.32% 19.33% 19.34% 19.35% 19.36% 19.38% 19.39% 19.40% 19.41% 19.42% 19.43% 19.44% 19.45% 19.46% 19.48% 19.49% 19.50% 19.51% 19.52% 19.53% 19.54% 19.55% 19.56% 19.58% 19.59% 19.60% 19.61% 19.62% 19.63% 19.64% 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92.73% 92.75% 92.76% 92.77% 92.78% 92.79% 92.80% 92.81% 92.82% 92.83% 92.85% 92.86% 92.87% 92.88% 92.89% 92.90% 92.91% 92.92% 92.93% 92.95% 92.96% 92.97% 92.98% 92.99% 93.00% 93.01% 93.02% 93.03% 93.05% 93.06% 93.07% 93.08% 93.09% 93.10% 93.11% 93.12% 93.13% 93.15% 93.16% 93.17% 93.18% 93.19% 93.20% 93.21% 93.22% 93.23% 93.25% 93.26% 93.27% 93.28% 93.29% 93.30% 93.31% 93.32% 93.33% 93.35% 93.36% 93.37% 93.38% 93.39% 93.40% 93.41% 93.42% 93.43% 93.45% 93.46% 93.47% 93.48% 93.49% 93.50% 93.51% 93.52% 93.53% 93.55% 93.56% 93.57% 93.58% 93.59% 93.60% 93.61% 93.62% 93.63% 93.65% 93.66% 93.67% 93.68% 93.69% 93.70% 93.71% 93.72% 93.73% 93.75% 93.76% 93.77% 93.78% 93.79% 93.80% 93.81% 93.82% 93.83% 93.85% 93.86% 93.87% 93.88% 93.89% 93.90% 93.91% 93.92% 93.93% 93.95% 93.96% 93.97% 93.98% 93.99% 94.00% 94.01% 94.02% 94.03% 94.05% 94.06% 94.07% 94.08% 94.09% 94.10% 94.11% 94.12% 94.13% 94.15% 94.16% 94.17% 94.18% 94.19% 94.20% 94.21% 94.22% 94.23% 94.25% 94.26% 94.27% 94.28% 94.29% 94.30% 94.31% 94.32% 94.33% 94.35% 94.36% 94.37% 94.38% 94.39% 94.40% 94.41% 94.42% 94.43% 94.45% 94.46% 94.47% 94.48% 94.49% 94.50% 94.51% 94.52% 94.53% 94.55% 94.56% 94.57% 94.58% 94.59% 94.60% 94.61% 94.62% 94.63% 94.65% 94.66% 94.67% 94.68% 94.69% 94.70% 94.71% 94.72% 94.73% 94.75% 94.76% 94.77% 94.78% 94.79% 94.80% 94.81% 94.82% 94.83% 94.85% 94.86% 94.87% 94.88% 94.89% 94.90% 94.91% 94.92% 94.93% 94.95% 94.96% 94.97% 94.98% 94.99% 95.00% 95.01% 95.02% 95.03% 95.04% 95.06% 95.07% 95.08% 95.09% 95.10% 95.11% 95.12% 95.13% 95.14% 95.16% 95.17% 95.18% 95.19% 95.20% 95.21% 95.22% 95.23% 95.24% 95.26% 95.27% 95.28% 95.29% 95.30% 95.31% 95.32% 95.33% 95.34% 95.36% 95.37% 95.38% 95.39% 95.40% 95.41% 95.42% 95.43% 95.44% 95.46% 95.47% 95.48% 95.49% 95.50% 95.51% 95.52% 95.53% 95.54% 95.56% 95.57% 95.58% 95.59% 95.60% 95.61% 95.62% 95.63% 95.64% 95.66% 95.67% 95.68% 95.69% 95.70% 95.71% 95.72% 95.73% 95.74% 95.76% 95.77% 95.78% 95.79% 95.80% 95.81% 95.82% 95.83% 95.84% 95.86% 95.87% 95.88% 95.89% 95.90% 95.91% 95.92% 95.93% 95.94% 95.96% 95.97% 95.98% 95.99% 96.00% 96.01% 96.02% 96.03% 96.04% 96.06% 96.07% 96.08% 96.09% 96.10% 96.11% 96.12% 96.13% 96.14% 96.16% 96.17% 96.18% 96.19% 96.20% 96.21% 96.22% 96.23% 96.24% 96.26% 96.27% 96.28% 96.29% 96.30% 96.31% 96.32% 96.33% 96.34% 96.36% 96.37% 96.38% 96.39% 96.40% 96.41% 96.42% 96.43% 96.44% 96.46% 96.47% 96.48% 96.49% 96.50% 96.51% 96.52% 96.53% 96.54% 96.56% 96.57% 96.58% 96.59% 96.60% 96.61% 96.62% 96.63% 96.64% 96.66% 96.67% 96.68% 96.69% 96.70% 96.71% 96.72% 96.73% 96.74% 96.76% 96.77% 96.78% 96.79% 96.80% 96.81% 96.82% 96.83% 96.84% 96.86% 96.87% 96.88% 96.89% 96.90% 96.91% 96.92% 96.93% 96.94% 96.96% 96.97% 96.98% 96.99% 97.00% 97.01% 97.02% 97.03% 97.04% 97.06% 97.07% 97.08% 97.09% 97.10% 97.11% 97.12% 97.13% 97.14% 97.16% 97.17% 97.18% 97.19% 97.20% 97.21% 97.22% 97.23% 97.24% 97.26% 97.27% 97.28% 97.29% 97.30% 97.31% 97.32% 97.33% 97.34% 97.36% 97.37% 97.38% 97.39% 97.40% 97.41% 97.42% 97.43% 97.44% 97.46% 97.47% 97.48% 97.49% 97.50% 97.51% 97.52% 97.53% 97.54% 97.56% 97.57% 97.58% 97.59% 97.60% 97.61% 97.62% 97.63% 97.64% 97.66% 97.67% 97.68% 97.69% 97.70% 97.71% 97.72% 97.73% 97.74% 97.76% 97.77% 97.78% 97.79% 97.80% 97.81% 97.82% 97.83% 97.84% 97.86% 97.87% 97.88% 97.89% 97.90% 97.91% 97.92% 97.93% 97.94% 97.96% 97.97% 97.98% 97.99% 98.00% 98.01% 98.02% 98.03% 98.04% 98.06% 98.07% 98.08% 98.09% 98.10% 98.11% 98.12% 98.13% 98.14% 98.16% 98.17% 98.18% 98.19% 98.20% 98.21% 98.22% 98.23% 98.24% 98.26% 98.27% 98.28% 98.29% 98.30% 98.31% 98.32% 98.33% 98.34% 98.36% 98.37% 98.38% 98.39% 98.40% 98.41% 98.42% 98.43% 98.44% 98.46% 98.47% 98.48% 98.49% 98.50% 98.51% 98.52% 98.53% 98.54% 98.56% 98.57% 98.58% 98.59% 98.60% 98.61% 98.62% 98.63% 98.64% 98.66% 98.67% 98.68% 98.69% 98.70% 98.71% 98.72% 98.73% 98.74% 98.76% 98.77% 98.78% 98.79% 98.80% 98.81% 98.82% 98.83% 98.84% 98.86% 98.87% 98.88% 98.89% 98.90% 98.91% 98.92% 98.93% 98.94% 98.96% 98.97% 98.98% 98.99% 99.00% 99.01% 99.02% 99.03% 99.04% 99.06% 99.07% 99.08% 99.09% 99.10% 99.11% 99.12% 99.13% 99.14% 99.16% 99.17% 99.18% 99.19% 99.20% 99.21% 99.22% 99.23% 99.24% 99.26% 99.27% 99.28% 99.29% 99.30% 99.31% 99.32% 99.33% 99.34% 99.36% 99.37% 99.38% 99.39% 99.40% 99.41% 99.42% 99.43% 99.44% 99.46% 99.47% 99.48% 99.49% 99.50% 99.51% 99.52% 99.53% 99.54% 99.56% 99.57% 99.58% 99.59% 99.60% 99.61% 99.62% 99.63% 99.64% 99.66% 99.67% 99.68% 99.69% 99.70% 99.71% 99.72% 99.73% 99.74% 99.76% 99.77% 99.78% 99.79% 99.80% 99.81% 99.82% 99.83% 99.84% 99.86% 99.87% 99.88% 99.89% 99.90% 99.91% 99.92% 99.93% 99.94% 99.96% 99.97% 99.98% 99.99% 100.00% Adding p-values adjusted for testing multiple hypotheses Wrote the UPGMA tree to file: Test4/Tree.nwk Storing results: Tetracycline_resistance Calculating max number of contrasting pairs for each nominally significant gene 0.02% 0.03% 0.05% 0.07% 0.08% 100.00% Storing results to file Storing results: Bogus_trait Calculating max number of contrasting pairs for each nominally significant gene 0.02% 0.03% 0.05% 0.07% 100.00% Storing results to file ==== Finished ==== Checked a total of 9001 genes for associations to 2 trait(s). Total time used: 13 seconds. Scoary finished successfully, but with WARNINGS. Please check your log file. VCF version 4.1 detected Reached the end of the file Warning. Since 1.5.0 scoary.py is deprecated. Install Scoary using 'pip install scoary instead, and run using scoary ==== Scoary started ==== Command: scoary.py -g scoary/exampledata/Gene_presence_absence.csv -t scoary/exampledata/Tetracycline_resistance.csv -o Test1 --no-time Reading gene presence absence file Creating Hamming distance matrix based on gene presence/absence Building UPGMA tree from distance matrix Reading traits file WARNING: Some isolates have missing values for trait Bogus_trait. Missing-value isolates will not be counted in association analysis towards this trait. Finished loading files into memory. ==== Performing statistics ==== -- Filtration options -- Individual (Naive): 0.05 Collapse genes: False Tallying genes and performing statistical analyses Gene-wise counting and Fisher's exact tests for trait: Tetracycline_resistance 0.00% 0.01% 0.02% 0.03% 0.04% 0.06% 0.07% 0.08% 0.09% 0.10% 0.11% 0.12% 0.13% 0.14% 0.16% 0.17% 0.18% 0.19% 0.20% 0.21% 0.22% 0.23% 0.24% 0.26% 0.27% 0.28% 0.29% 0.30% 0.31% 0.32% 0.33% 0.34% 0.36% 0.37% 0.38% 0.39% 0.40% 0.41% 0.42% 0.43% 0.44% 0.46% 0.47% 0.48% 0.49% 0.50% 0.51% 0.52% 0.53% 0.54% 0.56% 0.57% 0.58% 0.59% 0.60% 0.61% 0.62% 0.63% 0.64% 0.66% 0.67% 0.68% 0.69% 0.70% 0.71% 0.72% 0.73% 0.74% 0.76% 0.77% 0.78% 0.79% 0.80% 0.81% 0.82% 0.83% 0.84% 0.86% 0.87% 0.88% 0.89% 0.90% 0.91% 0.92% 0.93% 0.94% 0.96% 0.97% 0.98% 0.99% 1.00% 1.01% 1.02% 1.03% 1.04% 1.06% 1.07% 1.08% 1.09% 1.10% 1.11% 1.12% 1.13% 1.14% 1.16% 1.17% 1.18% 1.19% 1.20% 1.21% 1.22% 1.23% 1.24% 1.26% 1.27% 1.28% 1.29% 1.30% 1.31% 1.32% 1.33% 1.34% 1.36% 1.37% 1.38% 1.39% 1.40% 1.41% 1.42% 1.43% 1.44% 1.46% 1.47% 1.48% 1.49% 1.50% 1.51% 1.52% 1.53% 1.54% 1.56% 1.57% 1.58% 1.59% 1.60% 1.61% 1.62% 1.63% 1.64% 1.66% 1.67% 1.68% 1.69% 1.70% 1.71% 1.72% 1.73% 1.74% 1.76% 1.77% 1.78% 1.79% 1.80% 1.81% 1.82% 1.83% 1.84% 1.86% 1.87% 1.88% 1.89% 1.90% 1.91% 1.92% 1.93% 1.94% 1.96% 1.97% 1.98% 1.99% 2.00% 2.01% 2.02% 2.03% 2.04% 2.06% 2.07% 2.08% 2.09% 2.10% 2.11% 2.12% 2.13% 2.14% 2.16% 2.17% 2.18% 2.19% 2.20% 2.21% 2.22% 2.23% 2.24% 2.26% 2.27% 2.28% 2.29% 2.30% 2.31% 2.32% 2.33% 2.34% 2.36% 2.37% 2.38% 2.39% 2.40% 2.41% 2.42% 2.43% 2.44% 2.46% 2.47% 2.48% 2.49% 2.50% 2.51% 2.52% 2.53% 2.54% 2.56% 2.57% 2.58% 2.59% 2.60% 2.61% 2.62% 2.63% 2.64% 2.66% 2.67% 2.68% 2.69% 2.70% 2.71% 2.72% 2.73% 2.74% 2.76% 2.77% 2.78% 2.79% 2.80% 2.81% 2.82% 2.83% 2.84% 2.86% 2.87% 2.88% 2.89% 2.90% 2.91% 2.92% 2.93% 2.94% 2.96% 2.97% 2.98% 2.99% 3.00% 3.01% 3.02% 3.03% 3.04% 3.06% 3.07% 3.08% 3.09% 3.10% 3.11% 3.12% 3.13% 3.14% 3.16% 3.17% 3.18% 3.19% 3.20% 3.21% 3.22% 3.23% 3.24% 3.26% 3.27% 3.28% 3.29% 3.30% 3.31% 3.32% 3.33% 3.34% 3.36% 3.37% 3.38% 3.39% 3.40% 3.41% 3.42% 3.43% 3.44% 3.46% 3.47% 3.48% 3.49% 3.50% 3.51% 3.52% 3.53% 3.54% 3.56% 3.57% 3.58% 3.59% 3.60% 3.61% 3.62% 3.63% 3.64% 3.66% 3.67% 3.68% 3.69% 3.70% 3.71% 3.72% 3.73% 3.74% 3.76% 3.77% 3.78% 3.79% 3.80% 3.81% 3.82% 3.83% 3.84% 3.86% 3.87% 3.88% 3.89% 3.90% 3.91% 3.92% 3.93% 3.94% 3.96% 3.97% 3.98% 3.99% 4.00% 4.01% 4.02% 4.03% 4.04% 4.06% 4.07% 4.08% 4.09% 4.10% 4.11% 4.12% 4.13% 4.14% 4.16% 4.17% 4.18% 4.19% 4.20% 4.21% 4.22% 4.23% 4.24% 4.26% 4.27% 4.28% 4.29% 4.30% 4.31% 4.32% 4.33% 4.34% 4.36% 4.37% 4.38% 4.39% 4.40% 4.41% 4.42% 4.43% 4.44% 4.46% 4.47% 4.48% 4.49% 4.50% 4.51% 4.52% 4.53% 4.54% 4.56% 4.57% 4.58% 4.59% 4.60% 4.61% 4.62% 4.63% 4.64% 4.66% 4.67% 4.68% 4.69% 4.70% 4.71% 4.72% 4.73% 4.74% 4.76% 4.77% 4.78% 4.79% 4.80% 4.81% 4.82% 4.83% 4.84% 4.86% 4.87% 4.88% 4.89% 4.90% 4.91% 4.92% 4.93% 4.94% 4.96% 4.97% 4.98% 4.99% 5.00% 5.01% 5.02% 5.03% 5.04% 5.05% 5.07% 5.08% 5.09% 5.10% 5.11% 5.12% 5.13% 5.14% 5.15% 5.17% 5.18% 5.19% 5.20% 5.21% 5.22% 5.23% 5.24% 5.25% 5.27% 5.28% 5.29% 5.30% 5.31% 5.32% 5.33% 5.34% 5.35% 5.37% 5.38% 5.39% 5.40% 5.41% 5.42% 5.43% 5.44% 5.45% 5.47% 5.48% 5.49% 5.50% 5.51% 5.52% 5.53% 5.54% 5.55% 5.57% 5.58% 5.59% 5.60% 5.61% 5.62% 5.63% 5.64% 5.65% 5.67% 5.68% 5.69% 5.70% 5.71% 5.72% 5.73% 5.74% 5.75% 5.77% 5.78% 5.79% 5.80% 5.81% 5.82% 5.83% 5.84% 5.85% 5.87% 5.88% 5.89% 5.90% 5.91% 5.92% 5.93% 5.94% 5.95% 5.97% 5.98% 5.99% 6.00% 6.01% 6.02% 6.03% 6.04% 6.05% 6.07% 6.08% 6.09% 6.10% 6.11% 6.12% 6.13% 6.14% 6.15% 6.17% 6.18% 6.19% 6.20% 6.21% 6.22% 6.23% 6.24% 6.25% 6.27% 6.28% 6.29% 6.30% 6.31% 6.32% 6.33% 6.34% 6.35% 6.37% 6.38% 6.39% 6.40% 6.41% 6.42% 6.43% 6.44% 6.45% 6.47% 6.48% 6.49% 6.50% 6.51% 6.52% 6.53% 6.54% 6.55% 6.57% 6.58% 6.59% 6.60% 6.61% 6.62% 6.63% 6.64% 6.65% 6.67% 6.68% 6.69% 6.70% 6.71% 6.72% 6.73% 6.74% 6.75% 6.77% 6.78% 6.79% 6.80% 6.81% 6.82% 6.83% 6.84% 6.85% 6.87% 6.88% 6.89% 6.90% 6.91% 6.92% 6.93% 6.94% 6.95% 6.97% 6.98% 6.99% 7.00% 7.01% 7.02% 7.03% 7.04% 7.05% 7.07% 7.08% 7.09% 7.10% 7.11% 7.12% 7.13% 7.14% 7.15% 7.17% 7.18% 7.19% 7.20% 7.21% 7.22% 7.23% 7.24% 7.25% 7.27% 7.28% 7.29% 7.30% 7.31% 7.32% 7.33% 7.34% 7.35% 7.37% 7.38% 7.39% 7.40% 7.41% 7.42% 7.43% 7.44% 7.45% 7.47% 7.48% 7.49% 7.50% 7.51% 7.52% 7.53% 7.54% 7.55% 7.57% 7.58% 7.59% 7.60% 7.61% 7.62% 7.63% 7.64% 7.65% 7.67% 7.68% 7.69% 7.70% 7.71% 7.72% 7.73% 7.74% 7.75% 7.77% 7.78% 7.79% 7.80% 7.81% 7.82% 7.83% 7.84% 7.85% 7.87% 7.88% 7.89% 7.90% 7.91% 7.92% 7.93% 7.94% 7.95% 7.97% 7.98% 7.99% 8.00% 8.01% 8.02% 8.03% 8.04% 8.05% 8.07% 8.08% 8.09% 8.10% 8.11% 8.12% 8.13% 8.14% 8.15% 8.17% 8.18% 8.19% 8.20% 8.21% 8.22% 8.23% 8.24% 8.25% 8.27% 8.28% 8.29% 8.30% 8.31% 8.32% 8.33% 8.34% 8.35% 8.37% 8.38% 8.39% 8.40% 8.41% 8.42% 8.43% 8.44% 8.45% 8.47% 8.48% 8.49% 8.50% 8.51% 8.52% 8.53% 8.54% 8.55% 8.57% 8.58% 8.59% 8.60% 8.61% 8.62% 8.63% 8.64% 8.65% 8.67% 8.68% 8.69% 8.70% 8.71% 8.72% 8.73% 8.74% 8.75% 8.77% 8.78% 8.79% 8.80% 8.81% 8.82% 8.83% 8.84% 8.85% 8.87% 8.88% 8.89% 8.90% 8.91% 8.92% 8.93% 8.94% 8.95% 8.97% 8.98% 8.99% 9.00% 9.01% 9.02% 9.03% 9.04% 9.05% 9.07% 9.08% 9.09% 9.10% 9.11% 9.12% 9.13% 9.14% 9.15% 9.17% 9.18% 9.19% 9.20% 9.21% 9.22% 9.23% 9.24% 9.25% 9.27% 9.28% 9.29% 9.30% 9.31% 9.32% 9.33% 9.34% 9.35% 9.37% 9.38% 9.39% 9.40% 9.41% 9.42% 9.43% 9.44% 9.45% 9.47% 9.48% 9.49% 9.50% 9.51% 9.52% 9.53% 9.54% 9.55% 9.57% 9.58% 9.59% 9.60% 9.61% 9.62% 9.63% 9.64% 9.65% 9.67% 9.68% 9.69% 9.70% 9.71% 9.72% 9.73% 9.74% 9.75% 9.77% 9.78% 9.79% 9.80% 9.81% 9.82% 9.83% 9.84% 9.85% 9.87% 9.88% 9.89% 9.90% 9.91% 9.92% 9.93% 9.94% 9.95% 9.97% 9.98% 9.99% 10.00% 10.01% 10.02% 10.03% 10.04% 10.05% 10.07% 10.08% 10.09% 10.10% 10.11% 10.12% 10.13% 10.14% 10.15% 10.17% 10.18% 10.19% 10.20% 10.21% 10.22% 10.23% 10.24% 10.25% 10.27% 10.28% 10.29% 10.30% 10.31% 10.32% 10.33% 10.34% 10.35% 10.37% 10.38% 10.39% 10.40% 10.41% 10.42% 10.43% 10.44% 10.45% 10.47% 10.48% 10.49% 10.50% 10.51% 10.52% 10.53% 10.54% 10.55% 10.57% 10.58% 10.59% 10.60% 10.61% 10.62% 10.63% 10.64% 10.65% 10.67% 10.68% 10.69% 10.70% 10.71% 10.72% 10.73% 10.74% 10.75% 10.77% 10.78% 10.79% 10.80% 10.81% 10.82% 10.83% 10.84% 10.85% 10.87% 10.88% 10.89% 10.90% 10.91% 10.92% 10.93% 10.94% 10.95% 10.97% 10.98% 10.99% 11.00% 11.01% 11.02% 11.03% 11.04% 11.05% 11.07% 11.08% 11.09% 11.10% 11.11% 11.12% 11.13% 11.14% 11.15% 11.17% 11.18% 11.19% 11.20% 11.21% 11.22% 11.23% 11.24% 11.25% 11.27% 11.28% 11.29% 11.30% 11.31% 11.32% 11.33% 11.34% 11.35% 11.37% 11.38% 11.39% 11.40% 11.41% 11.42% 11.43% 11.44% 11.45% 11.47% 11.48% 11.49% 11.50% 11.51% 11.52% 11.53% 11.54% 11.55% 11.57% 11.58% 11.59% 11.60% 11.61% 11.62% 11.63% 11.64% 11.65% 11.67% 11.68% 11.69% 11.70% 11.71% 11.72% 11.73% 11.74% 11.75% 11.77% 11.78% 11.79% 11.80% 11.81% 11.82% 11.83% 11.84% 11.85% 11.87% 11.88% 11.89% 11.90% 11.91% 11.92% 11.93% 11.94% 11.95% 11.97% 11.98% 11.99% 12.00% 12.01% 12.02% 12.03% 12.04% 12.05% 12.07% 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86.75% 86.76% 86.77% 86.78% 86.79% 86.80% 86.81% 86.82% 86.83% 86.85% 86.86% 86.87% 86.88% 86.89% 86.90% 86.91% 86.92% 86.93% 86.95% 86.96% 86.97% 86.98% 86.99% 87.00% 87.01% 87.02% 87.03% 87.05% 87.06% 87.07% 87.08% 87.09% 87.10% 87.11% 87.12% 87.13% 87.15% 87.16% 87.17% 87.18% 87.19% 87.20% 87.21% 87.22% 87.23% 87.25% 87.26% 87.27% 87.28% 87.29% 87.30% 87.31% 87.32% 87.33% 87.35% 87.36% 87.37% 87.38% 87.39% 87.40% 87.41% 87.42% 87.43% 87.45% 87.46% 87.47% 87.48% 87.49% 87.50% 87.51% 87.52% 87.53% 87.55% 87.56% 87.57% 87.58% 87.59% 87.60% 87.61% 87.62% 87.63% 87.65% 87.66% 87.67% 87.68% 87.69% 87.70% 87.71% 87.72% 87.73% 87.75% 87.76% 87.77% 87.78% 87.79% 87.80% 87.81% 87.82% 87.83% 87.85% 87.86% 87.87% 87.88% 87.89% 87.90% 87.91% 87.92% 87.93% 87.95% 87.96% 87.97% 87.98% 87.99% 88.00% 88.01% 88.02% 88.03% 88.05% 88.06% 88.07% 88.08% 88.09% 88.10% 88.11% 88.12% 88.13% 88.15% 88.16% 88.17% 88.18% 88.19% 88.20% 88.21% 88.22% 88.23% 88.25% 88.26% 88.27% 88.28% 88.29% 88.30% 88.31% 88.32% 88.33% 88.35% 88.36% 88.37% 88.38% 88.39% 88.40% 88.41% 88.42% 88.43% 88.45% 88.46% 88.47% 88.48% 88.49% 88.50% 88.51% 88.52% 88.53% 88.55% 88.56% 88.57% 88.58% 88.59% 88.60% 88.61% 88.62% 88.63% 88.65% 88.66% 88.67% 88.68% 88.69% 88.70% 88.71% 88.72% 88.73% 88.75% 88.76% 88.77% 88.78% 88.79% 88.80% 88.81% 88.82% 88.83% 88.85% 88.86% 88.87% 88.88% 88.89% 88.90% 88.91% 88.92% 88.93% 88.95% 88.96% 88.97% 88.98% 88.99% 89.00% 89.01% 89.02% 89.03% 89.05% 89.06% 89.07% 89.08% 89.09% 89.10% 89.11% 89.12% 89.13% 89.15% 89.16% 89.17% 89.18% 89.19% 89.20% 89.21% 89.22% 89.23% 89.25% 89.26% 89.27% 89.28% 89.29% 89.30% 89.31% 89.32% 89.33% 89.35% 89.36% 89.37% 89.38% 89.39% 89.40% 89.41% 89.42% 89.43% 89.45% 89.46% 89.47% 89.48% 89.49% 89.50% 89.51% 89.52% 89.53% 89.55% 89.56% 89.57% 89.58% 89.59% 89.60% 89.61% 89.62% 89.63% 89.65% 89.66% 89.67% 89.68% 89.69% 89.70% 89.71% 89.72% 89.73% 89.75% 89.76% 89.77% 89.78% 89.79% 89.80% 89.81% 89.82% 89.83% 89.85% 89.86% 89.87% 89.88% 89.89% 89.90% 89.91% 89.92% 89.93% 89.95% 89.96% 89.97% 89.98% 89.99% 90.00% 90.01% 90.02% 90.03% 90.05% 90.06% 90.07% 90.08% 90.09% 90.10% 90.11% 90.12% 90.13% 90.15% 90.16% 90.17% 90.18% 90.19% 90.20% 90.21% 90.22% 90.23% 90.25% 90.26% 90.27% 90.28% 90.29% 90.30% 90.31% 90.32% 90.33% 90.35% 90.36% 90.37% 90.38% 90.39% 90.40% 90.41% 90.42% 90.43% 90.45% 90.46% 90.47% 90.48% 90.49% 90.50% 90.51% 90.52% 90.53% 90.55% 90.56% 90.57% 90.58% 90.59% 90.60% 90.61% 90.62% 90.63% 90.65% 90.66% 90.67% 90.68% 90.69% 90.70% 90.71% 90.72% 90.73% 90.75% 90.76% 90.77% 90.78% 90.79% 90.80% 90.81% 90.82% 90.83% 90.85% 90.86% 90.87% 90.88% 90.89% 90.90% 90.91% 90.92% 90.93% 90.95% 90.96% 90.97% 90.98% 90.99% 91.00% 91.01% 91.02% 91.03% 91.05% 91.06% 91.07% 91.08% 91.09% 91.10% 91.11% 91.12% 91.13% 91.15% 91.16% 91.17% 91.18% 91.19% 91.20% 91.21% 91.22% 91.23% 91.25% 91.26% 91.27% 91.28% 91.29% 91.30% 91.31% 91.32% 91.33% 91.35% 91.36% 91.37% 91.38% 91.39% 91.40% 91.41% 91.42% 91.43% 91.45% 91.46% 91.47% 91.48% 91.49% 91.50% 91.51% 91.52% 91.53% 91.55% 91.56% 91.57% 91.58% 91.59% 91.60% 91.61% 91.62% 91.63% 91.65% 91.66% 91.67% 91.68% 91.69% 91.70% 91.71% 91.72% 91.73% 91.75% 91.76% 91.77% 91.78% 91.79% 91.80% 91.81% 91.82% 91.83% 91.85% 91.86% 91.87% 91.88% 91.89% 91.90% 91.91% 91.92% 91.93% 91.95% 91.96% 91.97% 91.98% 91.99% 92.00% 92.01% 92.02% 92.03% 92.05% 92.06% 92.07% 92.08% 92.09% 92.10% 92.11% 92.12% 92.13% 92.15% 92.16% 92.17% 92.18% 92.19% 92.20% 92.21% 92.22% 92.23% 92.25% 92.26% 92.27% 92.28% 92.29% 92.30% 92.31% 92.32% 92.33% 92.35% 92.36% 92.37% 92.38% 92.39% 92.40% 92.41% 92.42% 92.43% 92.45% 92.46% 92.47% 92.48% 92.49% 92.50% 92.51% 92.52% 92.53% 92.55% 92.56% 92.57% 92.58% 92.59% 92.60% 92.61% 92.62% 92.63% 92.65% 92.66% 92.67% 92.68% 92.69% 92.70% 92.71% 92.72% 92.73% 92.75% 92.76% 92.77% 92.78% 92.79% 92.80% 92.81% 92.82% 92.83% 92.85% 92.86% 92.87% 92.88% 92.89% 92.90% 92.91% 92.92% 92.93% 92.95% 92.96% 92.97% 92.98% 92.99% 93.00% 93.01% 93.02% 93.03% 93.05% 93.06% 93.07% 93.08% 93.09% 93.10% 93.11% 93.12% 93.13% 93.15% 93.16% 93.17% 93.18% 93.19% 93.20% 93.21% 93.22% 93.23% 93.25% 93.26% 93.27% 93.28% 93.29% 93.30% 93.31% 93.32% 93.33% 93.35% 93.36% 93.37% 93.38% 93.39% 93.40% 93.41% 93.42% 93.43% 93.45% 93.46% 93.47% 93.48% 93.49% 93.50% 93.51% 93.52% 93.53% 93.55% 93.56% 93.57% 93.58% 93.59% 93.60% 93.61% 93.62% 93.63% 93.65% 93.66% 93.67% 93.68% 93.69% 93.70% 93.71% 93.72% 93.73% 93.75% 93.76% 93.77% 93.78% 93.79% 93.80% 93.81% 93.82% 93.83% 93.85% 93.86% 93.87% 93.88% 93.89% 93.90% 93.91% 93.92% 93.93% 93.95% 93.96% 93.97% 93.98% 93.99% 94.00% 94.01% 94.02% 94.03% 94.05% 94.06% 94.07% 94.08% 94.09% 94.10% 94.11% 94.12% 94.13% 94.15% 94.16% 94.17% 94.18% 94.19% 94.20% 94.21% 94.22% 94.23% 94.25% 94.26% 94.27% 94.28% 94.29% 94.30% 94.31% 94.32% 94.33% 94.35% 94.36% 94.37% 94.38% 94.39% 94.40% 94.41% 94.42% 94.43% 94.45% 94.46% 94.47% 94.48% 94.49% 94.50% 94.51% 94.52% 94.53% 94.55% 94.56% 94.57% 94.58% 94.59% 94.60% 94.61% 94.62% 94.63% 94.65% 94.66% 94.67% 94.68% 94.69% 94.70% 94.71% 94.72% 94.73% 94.75% 94.76% 94.77% 94.78% 94.79% 94.80% 94.81% 94.82% 94.83% 94.85% 94.86% 94.87% 94.88% 94.89% 94.90% 94.91% 94.92% 94.93% 94.95% 94.96% 94.97% 94.98% 94.99% 95.00% 95.01% 95.02% 95.03% 95.04% 95.06% 95.07% 95.08% 95.09% 95.10% 95.11% 95.12% 95.13% 95.14% 95.16% 95.17% 95.18% 95.19% 95.20% 95.21% 95.22% 95.23% 95.24% 95.26% 95.27% 95.28% 95.29% 95.30% 95.31% 95.32% 95.33% 95.34% 95.36% 95.37% 95.38% 95.39% 95.40% 95.41% 95.42% 95.43% 95.44% 95.46% 95.47% 95.48% 95.49% 95.50% 95.51% 95.52% 95.53% 95.54% 95.56% 95.57% 95.58% 95.59% 95.60% 95.61% 95.62% 95.63% 95.64% 95.66% 95.67% 95.68% 95.69% 95.70% 95.71% 95.72% 95.73% 95.74% 95.76% 95.77% 95.78% 95.79% 95.80% 95.81% 95.82% 95.83% 95.84% 95.86% 95.87% 95.88% 95.89% 95.90% 95.91% 95.92% 95.93% 95.94% 95.96% 95.97% 95.98% 95.99% 96.00% 96.01% 96.02% 96.03% 96.04% 96.06% 96.07% 96.08% 96.09% 96.10% 96.11% 96.12% 96.13% 96.14% 96.16% 96.17% 96.18% 96.19% 96.20% 96.21% 96.22% 96.23% 96.24% 96.26% 96.27% 96.28% 96.29% 96.30% 96.31% 96.32% 96.33% 96.34% 96.36% 96.37% 96.38% 96.39% 96.40% 96.41% 96.42% 96.43% 96.44% 96.46% 96.47% 96.48% 96.49% 96.50% 96.51% 96.52% 96.53% 96.54% 96.56% 96.57% 96.58% 96.59% 96.60% 96.61% 96.62% 96.63% 96.64% 96.66% 96.67% 96.68% 96.69% 96.70% 96.71% 96.72% 96.73% 96.74% 96.76% 96.77% 96.78% 96.79% 96.80% 96.81% 96.82% 96.83% 96.84% 96.86% 96.87% 96.88% 96.89% 96.90% 96.91% 96.92% 96.93% 96.94% 96.96% 96.97% 96.98% 96.99% 97.00% 97.01% 97.02% 97.03% 97.04% 97.06% 97.07% 97.08% 97.09% 97.10% 97.11% 97.12% 97.13% 97.14% 97.16% 97.17% 97.18% 97.19% 97.20% 97.21% 97.22% 97.23% 97.24% 97.26% 97.27% 97.28% 97.29% 97.30% 97.31% 97.32% 97.33% 97.34% 97.36% 97.37% 97.38% 97.39% 97.40% 97.41% 97.42% 97.43% 97.44% 97.46% 97.47% 97.48% 97.49% 97.50% 97.51% 97.52% 97.53% 97.54% 97.56% 97.57% 97.58% 97.59% 97.60% 97.61% 97.62% 97.63% 97.64% 97.66% 97.67% 97.68% 97.69% 97.70% 97.71% 97.72% 97.73% 97.74% 97.76% 97.77% 97.78% 97.79% 97.80% 97.81% 97.82% 97.83% 97.84% 97.86% 97.87% 97.88% 97.89% 97.90% 97.91% 97.92% 97.93% 97.94% 97.96% 97.97% 97.98% 97.99% 98.00% 98.01% 98.02% 98.03% 98.04% 98.06% 98.07% 98.08% 98.09% 98.10% 98.11% 98.12% 98.13% 98.14% 98.16% 98.17% 98.18% 98.19% 98.20% 98.21% 98.22% 98.23% 98.24% 98.26% 98.27% 98.28% 98.29% 98.30% 98.31% 98.32% 98.33% 98.34% 98.36% 98.37% 98.38% 98.39% 98.40% 98.41% 98.42% 98.43% 98.44% 98.46% 98.47% 98.48% 98.49% 98.50% 98.51% 98.52% 98.53% 98.54% 98.56% 98.57% 98.58% 98.59% 98.60% 98.61% 98.62% 98.63% 98.64% 98.66% 98.67% 98.68% 98.69% 98.70% 98.71% 98.72% 98.73% 98.74% 98.76% 98.77% 98.78% 98.79% 98.80% 98.81% 98.82% 98.83% 98.84% 98.86% 98.87% 98.88% 98.89% 98.90% 98.91% 98.92% 98.93% 98.94% 98.96% 98.97% 98.98% 98.99% 99.00% 99.01% 99.02% 99.03% 99.04% 99.06% 99.07% 99.08% 99.09% 99.10% 99.11% 99.12% 99.13% 99.14% 99.16% 99.17% 99.18% 99.19% 99.20% 99.21% 99.22% 99.23% 99.24% 99.26% 99.27% 99.28% 99.29% 99.30% 99.31% 99.32% 99.33% 99.34% 99.36% 99.37% 99.38% 99.39% 99.40% 99.41% 99.42% 99.43% 99.44% 99.46% 99.47% 99.48% 99.49% 99.50% 99.51% 99.52% 99.53% 99.54% 99.56% 99.57% 99.58% 99.59% 99.60% 99.61% 99.62% 99.63% 99.64% 99.66% 99.67% 99.68% 99.69% 99.70% 99.71% 99.72% 99.73% 99.74% 99.76% 99.77% 99.78% 99.79% 99.80% 99.81% 99.82% 99.83% 99.84% 99.86% 99.87% 99.88% 99.89% 99.90% 99.91% 99.92% 99.93% 99.94% 99.96% 99.97% 99.98% 99.99% 100.00% Adding p-values adjusted for testing multiple hypotheses Gene-wise counting and Fisher's exact tests for trait: Bogus_trait 0.00% 0.01% 0.02% 0.03% 0.04% 0.06% 0.07% 0.08% 0.09% 0.10% 0.11% 0.12% 0.13% 0.14% 0.16% 0.17% 0.18% 0.19% 0.20% 0.21% 0.22% 0.23% 0.24% 0.26% 0.27% 0.28% 0.29% 0.30% 0.31% 0.32% 0.33% 0.34% 0.36% 0.37% 0.38% 0.39% 0.40% 0.41% 0.42% 0.43% 0.44% 0.46% 0.47% 0.48% 0.49% 0.50% 0.51% 0.52% 0.53% 0.54% 0.56% 0.57% 0.58% 0.59% 0.60% 0.61% 0.62% 0.63% 0.64% 0.66% 0.67% 0.68% 0.69% 0.70% 0.71% 0.72% 0.73% 0.74% 0.76% 0.77% 0.78% 0.79% 0.80% 0.81% 0.82% 0.83% 0.84% 0.86% 0.87% 0.88% 0.89% 0.90% 0.91% 0.92% 0.93% 0.94% 0.96% 0.97% 0.98% 0.99% 1.00% 1.01% 1.02% 1.03% 1.04% 1.06% 1.07% 1.08% 1.09% 1.10% 1.11% 1.12% 1.13% 1.14% 1.16% 1.17% 1.18% 1.19% 1.20% 1.21% 1.22% 1.23% 1.24% 1.26% 1.27% 1.28% 1.29% 1.30% 1.31% 1.32% 1.33% 1.34% 1.36% 1.37% 1.38% 1.39% 1.40% 1.41% 1.42% 1.43% 1.44% 1.46% 1.47% 1.48% 1.49% 1.50% 1.51% 1.52% 1.53% 1.54% 1.56% 1.57% 1.58% 1.59% 1.60% 1.61% 1.62% 1.63% 1.64% 1.66% 1.67% 1.68% 1.69% 1.70% 1.71% 1.72% 1.73% 1.74% 1.76% 1.77% 1.78% 1.79% 1.80% 1.81% 1.82% 1.83% 1.84% 1.86% 1.87% 1.88% 1.89% 1.90% 1.91% 1.92% 1.93% 1.94% 1.96% 1.97% 1.98% 1.99% 2.00% 2.01% 2.02% 2.03% 2.04% 2.06% 2.07% 2.08% 2.09% 2.10% 2.11% 2.12% 2.13% 2.14% 2.16% 2.17% 2.18% 2.19% 2.20% 2.21% 2.22% 2.23% 2.24% 2.26% 2.27% 2.28% 2.29% 2.30% 2.31% 2.32% 2.33% 2.34% 2.36% 2.37% 2.38% 2.39% 2.40% 2.41% 2.42% 2.43% 2.44% 2.46% 2.47% 2.48% 2.49% 2.50% 2.51% 2.52% 2.53% 2.54% 2.56% 2.57% 2.58% 2.59% 2.60% 2.61% 2.62% 2.63% 2.64% 2.66% 2.67% 2.68% 2.69% 2.70% 2.71% 2.72% 2.73% 2.74% 2.76% 2.77% 2.78% 2.79% 2.80% 2.81% 2.82% 2.83% 2.84% 2.86% 2.87% 2.88% 2.89% 2.90% 2.91% 2.92% 2.93% 2.94% 2.96% 2.97% 2.98% 2.99% 3.00% 3.01% 3.02% 3.03% 3.04% 3.06% 3.07% 3.08% 3.09% 3.10% 3.11% 3.12% 3.13% 3.14% 3.16% 3.17% 3.18% 3.19% 3.20% 3.21% 3.22% 3.23% 3.24% 3.26% 3.27% 3.28% 3.29% 3.30% 3.31% 3.32% 3.33% 3.34% 3.36% 3.37% 3.38% 3.39% 3.40% 3.41% 3.42% 3.43% 3.44% 3.46% 3.47% 3.48% 3.49% 3.50% 3.51% 3.52% 3.53% 3.54% 3.56% 3.57% 3.58% 3.59% 3.60% 3.61% 3.62% 3.63% 3.64% 3.66% 3.67% 3.68% 3.69% 3.70% 3.71% 3.72% 3.73% 3.74% 3.76% 3.77% 3.78% 3.79% 3.80% 3.81% 3.82% 3.83% 3.84% 3.86% 3.87% 3.88% 3.89% 3.90% 3.91% 3.92% 3.93% 3.94% 3.96% 3.97% 3.98% 3.99% 4.00% 4.01% 4.02% 4.03% 4.04% 4.06% 4.07% 4.08% 4.09% 4.10% 4.11% 4.12% 4.13% 4.14% 4.16% 4.17% 4.18% 4.19% 4.20% 4.21% 4.22% 4.23% 4.24% 4.26% 4.27% 4.28% 4.29% 4.30% 4.31% 4.32% 4.33% 4.34% 4.36% 4.37% 4.38% 4.39% 4.40% 4.41% 4.42% 4.43% 4.44% 4.46% 4.47% 4.48% 4.49% 4.50% 4.51% 4.52% 4.53% 4.54% 4.56% 4.57% 4.58% 4.59% 4.60% 4.61% 4.62% 4.63% 4.64% 4.66% 4.67% 4.68% 4.69% 4.70% 4.71% 4.72% 4.73% 4.74% 4.76% 4.77% 4.78% 4.79% 4.80% 4.81% 4.82% 4.83% 4.84% 4.86% 4.87% 4.88% 4.89% 4.90% 4.91% 4.92% 4.93% 4.94% 4.96% 4.97% 4.98% 4.99% 5.00% 5.01% 5.02% 5.03% 5.04% 5.05% 5.07% 5.08% 5.09% 5.10% 5.11% 5.12% 5.13% 5.14% 5.15% 5.17% 5.18% 5.19% 5.20% 5.21% 5.22% 5.23% 5.24% 5.25% 5.27% 5.28% 5.29% 5.30% 5.31% 5.32% 5.33% 5.34% 5.35% 5.37% 5.38% 5.39% 5.40% 5.41% 5.42% 5.43% 5.44% 5.45% 5.47% 5.48% 5.49% 5.50% 5.51% 5.52% 5.53% 5.54% 5.55% 5.57% 5.58% 5.59% 5.60% 5.61% 5.62% 5.63% 5.64% 5.65% 5.67% 5.68% 5.69% 5.70% 5.71% 5.72% 5.73% 5.74% 5.75% 5.77% 5.78% 5.79% 5.80% 5.81% 5.82% 5.83% 5.84% 5.85% 5.87% 5.88% 5.89% 5.90% 5.91% 5.92% 5.93% 5.94% 5.95% 5.97% 5.98% 5.99% 6.00% 6.01% 6.02% 6.03% 6.04% 6.05% 6.07% 6.08% 6.09% 6.10% 6.11% 6.12% 6.13% 6.14% 6.15% 6.17% 6.18% 6.19% 6.20% 6.21% 6.22% 6.23% 6.24% 6.25% 6.27% 6.28% 6.29% 6.30% 6.31% 6.32% 6.33% 6.34% 6.35% 6.37% 6.38% 6.39% 6.40% 6.41% 6.42% 6.43% 6.44% 6.45% 6.47% 6.48% 6.49% 6.50% 6.51% 6.52% 6.53% 6.54% 6.55% 6.57% 6.58% 6.59% 6.60% 6.61% 6.62% 6.63% 6.64% 6.65% 6.67% 6.68% 6.69% 6.70% 6.71% 6.72% 6.73% 6.74% 6.75% 6.77% 6.78% 6.79% 6.80% 6.81% 6.82% 6.83% 6.84% 6.85% 6.87% 6.88% 6.89% 6.90% 6.91% 6.92% 6.93% 6.94% 6.95% 6.97% 6.98% 6.99% 7.00% 7.01% 7.02% 7.03% 7.04% 7.05% 7.07% 7.08% 7.09% 7.10% 7.11% 7.12% 7.13% 7.14% 7.15% 7.17% 7.18% 7.19% 7.20% 7.21% 7.22% 7.23% 7.24% 7.25% 7.27% 7.28% 7.29% 7.30% 7.31% 7.32% 7.33% 7.34% 7.35% 7.37% 7.38% 7.39% 7.40% 7.41% 7.42% 7.43% 7.44% 7.45% 7.47% 7.48% 7.49% 7.50% 7.51% 7.52% 7.53% 7.54% 7.55% 7.57% 7.58% 7.59% 7.60% 7.61% 7.62% 7.63% 7.64% 7.65% 7.67% 7.68% 7.69% 7.70% 7.71% 7.72% 7.73% 7.74% 7.75% 7.77% 7.78% 7.79% 7.80% 7.81% 7.82% 7.83% 7.84% 7.85% 7.87% 7.88% 7.89% 7.90% 7.91% 7.92% 7.93% 7.94% 7.95% 7.97% 7.98% 7.99% 8.00% 8.01% 8.02% 8.03% 8.04% 8.05% 8.07% 8.08% 8.09% 8.10% 8.11% 8.12% 8.13% 8.14% 8.15% 8.17% 8.18% 8.19% 8.20% 8.21% 8.22% 8.23% 8.24% 8.25% 8.27% 8.28% 8.29% 8.30% 8.31% 8.32% 8.33% 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80.07% 80.08% 80.09% 80.10% 80.11% 80.12% 80.14% 80.15% 80.16% 80.17% 80.18% 80.19% 80.20% 80.21% 80.22% 80.24% 80.25% 80.26% 80.27% 80.28% 80.29% 80.30% 80.31% 80.32% 80.34% 80.35% 80.36% 80.37% 80.38% 80.39% 80.40% 80.41% 80.42% 80.44% 80.45% 80.46% 80.47% 80.48% 80.49% 80.50% 80.51% 80.52% 80.54% 80.55% 80.56% 80.57% 80.58% 80.59% 80.60% 80.61% 80.62% 80.64% 80.65% 80.66% 80.67% 80.68% 80.69% 80.70% 80.71% 80.72% 80.74% 80.75% 80.76% 80.77% 80.78% 80.79% 80.80% 80.81% 80.82% 80.84% 80.85% 80.86% 80.87% 80.88% 80.89% 80.90% 80.91% 80.92% 80.94% 80.95% 80.96% 80.97% 80.98% 80.99% 81.00% 81.01% 81.02% 81.04% 81.05% 81.06% 81.07% 81.08% 81.09% 81.10% 81.11% 81.12% 81.14% 81.15% 81.16% 81.17% 81.18% 81.19% 81.20% 81.21% 81.22% 81.24% 81.25% 81.26% 81.27% 81.28% 81.29% 81.30% 81.31% 81.32% 81.34% 81.35% 81.36% 81.37% 81.38% 81.39% 81.40% 81.41% 81.42% 81.44% 81.45% 81.46% 81.47% 81.48% 81.49% 81.50% 81.51% 81.52% 81.54% 81.55% 81.56% 81.57% 81.58% 81.59% 81.60% 81.61% 81.62% 81.64% 81.65% 81.66% 81.67% 81.68% 81.69% 81.70% 81.71% 81.72% 81.74% 81.75% 81.76% 81.77% 81.78% 81.79% 81.80% 81.81% 81.82% 81.84% 81.85% 81.86% 81.87% 81.88% 81.89% 81.90% 81.91% 81.92% 81.94% 81.95% 81.96% 81.97% 81.98% 81.99% 82.00% 82.01% 82.02% 82.04% 82.05% 82.06% 82.07% 82.08% 82.09% 82.10% 82.11% 82.12% 82.14% 82.15% 82.16% 82.17% 82.18% 82.19% 82.20% 82.21% 82.22% 82.24% 82.25% 82.26% 82.27% 82.28% 82.29% 82.30% 82.31% 82.32% 82.34% 82.35% 82.36% 82.37% 82.38% 82.39% 82.40% 82.41% 82.42% 82.44% 82.45% 82.46% 82.47% 82.48% 82.49% 82.50% 82.51% 82.52% 82.54% 82.55% 82.56% 82.57% 82.58% 82.59% 82.60% 82.61% 82.62% 82.64% 82.65% 82.66% 82.67% 82.68% 82.69% 82.70% 82.71% 82.72% 82.74% 82.75% 82.76% 82.77% 82.78% 82.79% 82.80% 82.81% 82.82% 82.84% 82.85% 82.86% 82.87% 82.88% 82.89% 82.90% 82.91% 82.92% 82.94% 82.95% 82.96% 82.97% 82.98% 82.99% 83.00% 83.01% 83.02% 83.04% 83.05% 83.06% 83.07% 83.08% 83.09% 83.10% 83.11% 83.12% 83.14% 83.15% 83.16% 83.17% 83.18% 83.19% 83.20% 83.21% 83.22% 83.24% 83.25% 83.26% 83.27% 83.28% 83.29% 83.30% 83.31% 83.32% 83.34% 83.35% 83.36% 83.37% 83.38% 83.39% 83.40% 83.41% 83.42% 83.44% 83.45% 83.46% 83.47% 83.48% 83.49% 83.50% 83.51% 83.52% 83.54% 83.55% 83.56% 83.57% 83.58% 83.59% 83.60% 83.61% 83.62% 83.64% 83.65% 83.66% 83.67% 83.68% 83.69% 83.70% 83.71% 83.72% 83.74% 83.75% 83.76% 83.77% 83.78% 83.79% 83.80% 83.81% 83.82% 83.84% 83.85% 83.86% 83.87% 83.88% 83.89% 83.90% 83.91% 83.92% 83.94% 83.95% 83.96% 83.97% 83.98% 83.99% 84.00% 84.01% 84.02% 84.04% 84.05% 84.06% 84.07% 84.08% 84.09% 84.10% 84.11% 84.12% 84.14% 84.15% 84.16% 84.17% 84.18% 84.19% 84.20% 84.21% 84.22% 84.24% 84.25% 84.26% 84.27% 84.28% 84.29% 84.30% 84.31% 84.32% 84.34% 84.35% 84.36% 84.37% 84.38% 84.39% 84.40% 84.41% 84.42% 84.44% 84.45% 84.46% 84.47% 84.48% 84.49% 84.50% 84.51% 84.52% 84.54% 84.55% 84.56% 84.57% 84.58% 84.59% 84.60% 84.61% 84.62% 84.64% 84.65% 84.66% 84.67% 84.68% 84.69% 84.70% 84.71% 84.72% 84.74% 84.75% 84.76% 84.77% 84.78% 84.79% 84.80% 84.81% 84.82% 84.84% 84.85% 84.86% 84.87% 84.88% 84.89% 84.90% 84.91% 84.92% 84.94% 84.95% 84.96% 84.97% 84.98% 84.99% 85.00% 85.01% 85.02% 85.03% 85.05% 85.06% 85.07% 85.08% 85.09% 85.10% 85.11% 85.12% 85.13% 85.15% 85.16% 85.17% 85.18% 85.19% 85.20% 85.21% 85.22% 85.23% 85.25% 85.26% 85.27% 85.28% 85.29% 85.30% 85.31% 85.32% 85.33% 85.35% 85.36% 85.37% 85.38% 85.39% 85.40% 85.41% 85.42% 85.43% 85.45% 85.46% 85.47% 85.48% 85.49% 85.50% 85.51% 85.52% 85.53% 85.55% 85.56% 85.57% 85.58% 85.59% 85.60% 85.61% 85.62% 85.63% 85.65% 85.66% 85.67% 85.68% 85.69% 85.70% 85.71% 85.72% 85.73% 85.75% 85.76% 85.77% 85.78% 85.79% 85.80% 85.81% 85.82% 85.83% 85.85% 85.86% 85.87% 85.88% 85.89% 85.90% 85.91% 85.92% 85.93% 85.95% 85.96% 85.97% 85.98% 85.99% 86.00% 86.01% 86.02% 86.03% 86.05% 86.06% 86.07% 86.08% 86.09% 86.10% 86.11% 86.12% 86.13% 86.15% 86.16% 86.17% 86.18% 86.19% 86.20% 86.21% 86.22% 86.23% 86.25% 86.26% 86.27% 86.28% 86.29% 86.30% 86.31% 86.32% 86.33% 86.35% 86.36% 86.37% 86.38% 86.39% 86.40% 86.41% 86.42% 86.43% 86.45% 86.46% 86.47% 86.48% 86.49% 86.50% 86.51% 86.52% 86.53% 86.55% 86.56% 86.57% 86.58% 86.59% 86.60% 86.61% 86.62% 86.63% 86.65% 86.66% 86.67% 86.68% 86.69% 86.70% 86.71% 86.72% 86.73% 86.75% 86.76% 86.77% 86.78% 86.79% 86.80% 86.81% 86.82% 86.83% 86.85% 86.86% 86.87% 86.88% 86.89% 86.90% 86.91% 86.92% 86.93% 86.95% 86.96% 86.97% 86.98% 86.99% 87.00% 87.01% 87.02% 87.03% 87.05% 87.06% 87.07% 87.08% 87.09% 87.10% 87.11% 87.12% 87.13% 87.15% 87.16% 87.17% 87.18% 87.19% 87.20% 87.21% 87.22% 87.23% 87.25% 87.26% 87.27% 87.28% 87.29% 87.30% 87.31% 87.32% 87.33% 87.35% 87.36% 87.37% 87.38% 87.39% 87.40% 87.41% 87.42% 87.43% 87.45% 87.46% 87.47% 87.48% 87.49% 87.50% 87.51% 87.52% 87.53% 87.55% 87.56% 87.57% 87.58% 87.59% 87.60% 87.61% 87.62% 87.63% 87.65% 87.66% 87.67% 87.68% 87.69% 87.70% 87.71% 87.72% 87.73% 87.75% 87.76% 87.77% 87.78% 87.79% 87.80% 87.81% 87.82% 87.83% 87.85% 87.86% 87.87% 87.88% 87.89% 87.90% 87.91% 87.92% 87.93% 87.95% 87.96% 87.97% 87.98% 87.99% 88.00% 88.01% 88.02% 88.03% 88.05% 88.06% 88.07% 88.08% 88.09% 88.10% 88.11% 88.12% 88.13% 88.15% 88.16% 88.17% 88.18% 88.19% 88.20% 88.21% 88.22% 88.23% 88.25% 88.26% 88.27% 88.28% 88.29% 88.30% 88.31% 88.32% 88.33% 88.35% 88.36% 88.37% 88.38% 88.39% 88.40% 88.41% 88.42% 88.43% 88.45% 88.46% 88.47% 88.48% 88.49% 88.50% 88.51% 88.52% 88.53% 88.55% 88.56% 88.57% 88.58% 88.59% 88.60% 88.61% 88.62% 88.63% 88.65% 88.66% 88.67% 88.68% 88.69% 88.70% 88.71% 88.72% 88.73% 88.75% 88.76% 88.77% 88.78% 88.79% 88.80% 88.81% 88.82% 88.83% 88.85% 88.86% 88.87% 88.88% 88.89% 88.90% 88.91% 88.92% 88.93% 88.95% 88.96% 88.97% 88.98% 88.99% 89.00% 89.01% 89.02% 89.03% 89.05% 89.06% 89.07% 89.08% 89.09% 89.10% 89.11% 89.12% 89.13% 89.15% 89.16% 89.17% 89.18% 89.19% 89.20% 89.21% 89.22% 89.23% 89.25% 89.26% 89.27% 89.28% 89.29% 89.30% 89.31% 89.32% 89.33% 89.35% 89.36% 89.37% 89.38% 89.39% 89.40% 89.41% 89.42% 89.43% 89.45% 89.46% 89.47% 89.48% 89.49% 89.50% 89.51% 89.52% 89.53% 89.55% 89.56% 89.57% 89.58% 89.59% 89.60% 89.61% 89.62% 89.63% 89.65% 89.66% 89.67% 89.68% 89.69% 89.70% 89.71% 89.72% 89.73% 89.75% 89.76% 89.77% 89.78% 89.79% 89.80% 89.81% 89.82% 89.83% 89.85% 89.86% 89.87% 89.88% 89.89% 89.90% 89.91% 89.92% 89.93% 89.95% 89.96% 89.97% 89.98% 89.99% 90.00% 90.01% 90.02% 90.03% 90.05% 90.06% 90.07% 90.08% 90.09% 90.10% 90.11% 90.12% 90.13% 90.15% 90.16% 90.17% 90.18% 90.19% 90.20% 90.21% 90.22% 90.23% 90.25% 90.26% 90.27% 90.28% 90.29% 90.30% 90.31% 90.32% 90.33% 90.35% 90.36% 90.37% 90.38% 90.39% 90.40% 90.41% 90.42% 90.43% 90.45% 90.46% 90.47% 90.48% 90.49% 90.50% 90.51% 90.52% 90.53% 90.55% 90.56% 90.57% 90.58% 90.59% 90.60% 90.61% 90.62% 90.63% 90.65% 90.66% 90.67% 90.68% 90.69% 90.70% 90.71% 90.72% 90.73% 90.75% 90.76% 90.77% 90.78% 90.79% 90.80% 90.81% 90.82% 90.83% 90.85% 90.86% 90.87% 90.88% 90.89% 90.90% 90.91% 90.92% 90.93% 90.95% 90.96% 90.97% 90.98% 90.99% 91.00% 91.01% 91.02% 91.03% 91.05% 91.06% 91.07% 91.08% 91.09% 91.10% 91.11% 91.12% 91.13% 91.15% 91.16% 91.17% 91.18% 91.19% 91.20% 91.21% 91.22% 91.23% 91.25% 91.26% 91.27% 91.28% 91.29% 91.30% 91.31% 91.32% 91.33% 91.35% 91.36% 91.37% 91.38% 91.39% 91.40% 91.41% 91.42% 91.43% 91.45% 91.46% 91.47% 91.48% 91.49% 91.50% 91.51% 91.52% 91.53% 91.55% 91.56% 91.57% 91.58% 91.59% 91.60% 91.61% 91.62% 91.63% 91.65% 91.66% 91.67% 91.68% 91.69% 91.70% 91.71% 91.72% 91.73% 91.75% 91.76% 91.77% 91.78% 91.79% 91.80% 91.81% 91.82% 91.83% 91.85% 91.86% 91.87% 91.88% 91.89% 91.90% 91.91% 91.92% 91.93% 91.95% 91.96% 91.97% 91.98% 91.99% 92.00% 92.01% 92.02% 92.03% 92.05% 92.06% 92.07% 92.08% 92.09% 92.10% 92.11% 92.12% 92.13% 92.15% 92.16% 92.17% 92.18% 92.19% 92.20% 92.21% 92.22% 92.23% 92.25% 92.26% 92.27% 92.28% 92.29% 92.30% 92.31% 92.32% 92.33% 92.35% 92.36% 92.37% 92.38% 92.39% 92.40% 92.41% 92.42% 92.43% 92.45% 92.46% 92.47% 92.48% 92.49% 92.50% 92.51% 92.52% 92.53% 92.55% 92.56% 92.57% 92.58% 92.59% 92.60% 92.61% 92.62% 92.63% 92.65% 92.66% 92.67% 92.68% 92.69% 92.70% 92.71% 92.72% 92.73% 92.75% 92.76% 92.77% 92.78% 92.79% 92.80% 92.81% 92.82% 92.83% 92.85% 92.86% 92.87% 92.88% 92.89% 92.90% 92.91% 92.92% 92.93% 92.95% 92.96% 92.97% 92.98% 92.99% 93.00% 93.01% 93.02% 93.03% 93.05% 93.06% 93.07% 93.08% 93.09% 93.10% 93.11% 93.12% 93.13% 93.15% 93.16% 93.17% 93.18% 93.19% 93.20% 93.21% 93.22% 93.23% 93.25% 93.26% 93.27% 93.28% 93.29% 93.30% 93.31% 93.32% 93.33% 93.35% 93.36% 93.37% 93.38% 93.39% 93.40% 93.41% 93.42% 93.43% 93.45% 93.46% 93.47% 93.48% 93.49% 93.50% 93.51% 93.52% 93.53% 93.55% 93.56% 93.57% 93.58% 93.59% 93.60% 93.61% 93.62% 93.63% 93.65% 93.66% 93.67% 93.68% 93.69% 93.70% 93.71% 93.72% 93.73% 93.75% 93.76% 93.77% 93.78% 93.79% 93.80% 93.81% 93.82% 93.83% 93.85% 93.86% 93.87% 93.88% 93.89% 93.90% 93.91% 93.92% 93.93% 93.95% 93.96% 93.97% 93.98% 93.99% 94.00% 94.01% 94.02% 94.03% 94.05% 94.06% 94.07% 94.08% 94.09% 94.10% 94.11% 94.12% 94.13% 94.15% 94.16% 94.17% 94.18% 94.19% 94.20% 94.21% 94.22% 94.23% 94.25% 94.26% 94.27% 94.28% 94.29% 94.30% 94.31% 94.32% 94.33% 94.35% 94.36% 94.37% 94.38% 94.39% 94.40% 94.41% 94.42% 94.43% 94.45% 94.46% 94.47% 94.48% 94.49% 94.50% 94.51% 94.52% 94.53% 94.55% 94.56% 94.57% 94.58% 94.59% 94.60% 94.61% 94.62% 94.63% 94.65% 94.66% 94.67% 94.68% 94.69% 94.70% 94.71% 94.72% 94.73% 94.75% 94.76% 94.77% 94.78% 94.79% 94.80% 94.81% 94.82% 94.83% 94.85% 94.86% 94.87% 94.88% 94.89% 94.90% 94.91% 94.92% 94.93% 94.95% 94.96% 94.97% 94.98% 94.99% 95.00% 95.01% 95.02% 95.03% 95.04% 95.06% 95.07% 95.08% 95.09% 95.10% 95.11% 95.12% 95.13% 95.14% 95.16% 95.17% 95.18% 95.19% 95.20% 95.21% 95.22% 95.23% 95.24% 95.26% 95.27% 95.28% 95.29% 95.30% 95.31% 95.32% 95.33% 95.34% 95.36% 95.37% 95.38% 95.39% 95.40% 95.41% 95.42% 95.43% 95.44% 95.46% 95.47% 95.48% 95.49% 95.50% 95.51% 95.52% 95.53% 95.54% 95.56% 95.57% 95.58% 95.59% 95.60% 95.61% 95.62% 95.63% 95.64% 95.66% 95.67% 95.68% 95.69% 95.70% 95.71% 95.72% 95.73% 95.74% 95.76% 95.77% 95.78% 95.79% 95.80% 95.81% 95.82% 95.83% 95.84% 95.86% 95.87% 95.88% 95.89% 95.90% 95.91% 95.92% 95.93% 95.94% 95.96% 95.97% 95.98% 95.99% 96.00% 96.01% 96.02% 96.03% 96.04% 96.06% 96.07% 96.08% 96.09% 96.10% 96.11% 96.12% 96.13% 96.14% 96.16% 96.17% 96.18% 96.19% 96.20% 96.21% 96.22% 96.23% 96.24% 96.26% 96.27% 96.28% 96.29% 96.30% 96.31% 96.32% 96.33% 96.34% 96.36% 96.37% 96.38% 96.39% 96.40% 96.41% 96.42% 96.43% 96.44% 96.46% 96.47% 96.48% 96.49% 96.50% 96.51% 96.52% 96.53% 96.54% 96.56% 96.57% 96.58% 96.59% 96.60% 96.61% 96.62% 96.63% 96.64% 96.66% 96.67% 96.68% 96.69% 96.70% 96.71% 96.72% 96.73% 96.74% 96.76% 96.77% 96.78% 96.79% 96.80% 96.81% 96.82% 96.83% 96.84% 96.86% 96.87% 96.88% 96.89% 96.90% 96.91% 96.92% 96.93% 96.94% 96.96% 96.97% 96.98% 96.99% 97.00% 97.01% 97.02% 97.03% 97.04% 97.06% 97.07% 97.08% 97.09% 97.10% 97.11% 97.12% 97.13% 97.14% 97.16% 97.17% 97.18% 97.19% 97.20% 97.21% 97.22% 97.23% 97.24% 97.26% 97.27% 97.28% 97.29% 97.30% 97.31% 97.32% 97.33% 97.34% 97.36% 97.37% 97.38% 97.39% 97.40% 97.41% 97.42% 97.43% 97.44% 97.46% 97.47% 97.48% 97.49% 97.50% 97.51% 97.52% 97.53% 97.54% 97.56% 97.57% 97.58% 97.59% 97.60% 97.61% 97.62% 97.63% 97.64% 97.66% 97.67% 97.68% 97.69% 97.70% 97.71% 97.72% 97.73% 97.74% 97.76% 97.77% 97.78% 97.79% 97.80% 97.81% 97.82% 97.83% 97.84% 97.86% 97.87% 97.88% 97.89% 97.90% 97.91% 97.92% 97.93% 97.94% 97.96% 97.97% 97.98% 97.99% 98.00% 98.01% 98.02% 98.03% 98.04% 98.06% 98.07% 98.08% 98.09% 98.10% 98.11% 98.12% 98.13% 98.14% 98.16% 98.17% 98.18% 98.19% 98.20% 98.21% 98.22% 98.23% 98.24% 98.26% 98.27% 98.28% 98.29% 98.30% 98.31% 98.32% 98.33% 98.34% 98.36% 98.37% 98.38% 98.39% 98.40% 98.41% 98.42% 98.43% 98.44% 98.46% 98.47% 98.48% 98.49% 98.50% 98.51% 98.52% 98.53% 98.54% 98.56% 98.57% 98.58% 98.59% 98.60% 98.61% 98.62% 98.63% 98.64% 98.66% 98.67% 98.68% 98.69% 98.70% 98.71% 98.72% 98.73% 98.74% 98.76% 98.77% 98.78% 98.79% 98.80% 98.81% 98.82% 98.83% 98.84% 98.86% 98.87% 98.88% 98.89% 98.90% 98.91% 98.92% 98.93% 98.94% 98.96% 98.97% 98.98% 98.99% 99.00% 99.01% 99.02% 99.03% 99.04% 99.06% 99.07% 99.08% 99.09% 99.10% 99.11% 99.12% 99.13% 99.14% 99.16% 99.17% 99.18% 99.19% 99.20% 99.21% 99.22% 99.23% 99.24% 99.26% 99.27% 99.28% 99.29% 99.30% 99.31% 99.32% 99.33% 99.34% 99.36% 99.37% 99.38% 99.39% 99.40% 99.41% 99.42% 99.43% 99.44% 99.46% 99.47% 99.48% 99.49% 99.50% 99.51% 99.52% 99.53% 99.54% 99.56% 99.57% 99.58% 99.59% 99.60% 99.61% 99.62% 99.63% 99.64% 99.66% 99.67% 99.68% 99.69% 99.70% 99.71% 99.72% 99.73% 99.74% 99.76% 99.77% 99.78% 99.79% 99.80% 99.81% 99.82% 99.83% 99.84% 99.86% 99.87% 99.88% 99.89% 99.90% 99.91% 99.92% 99.93% 99.94% 99.96% 99.97% 99.98% 99.99% 100.00% Adding p-values adjusted for testing multiple hypotheses Storing results: Tetracycline_resistance Calculating max number of contrasting pairs for each nominally significant gene 0.02% 0.03% 0.05% 0.07% 0.08% 0.10% 0.12% 0.13% 0.15% 0.17% 0.19% 0.20% 0.22% 0.24% 0.25% 0.27% 0.29% 0.30% 0.32% 0.34% 0.35% 0.37% 0.39% 0.40% 0.42% 0.44% 0.45% 0.47% 0.49% 0.51% 0.52% 0.54% 0.56% 0.57% 0.59% 0.61% 0.62% 0.64% 0.66% 0.67% 0.69% 0.71% 0.72% 0.74% 0.76% 0.77% 0.79% 0.81% 0.82% 0.84% 0.86% 0.88% 0.89% 0.91% 0.93% 0.94% 0.96% 0.98% 0.99% 1.01% 1.03% 1.04% 1.06% 1.08% 1.09% 1.11% 1.13% 1.14% 1.16% 1.18% 1.20% 1.21% 1.23% 1.25% 1.26% 1.28% 1.30% 1.31% 1.33% 1.35% 1.36% 1.38% 1.40% 1.41% 1.43% 1.45% 1.46% 1.48% 1.50% 1.52% 1.53% 1.55% 1.57% 1.58% 1.60% 1.62% 1.63% 1.65% 1.67% 1.68% 1.70% 1.72% 1.73% 1.75% 1.77% 1.78% 1.80% 1.82% 1.84% 1.85% 1.87% 1.89% 1.90% 1.92% 1.94% 1.95% 1.97% 1.99% 2.00% 2.02% 2.04% 2.05% 2.07% 2.09% 2.10% 2.12% 2.14% 2.15% 2.17% 2.19% 2.21% 2.22% 2.24% 2.26% 2.27% 2.29% 2.31% 2.32% 2.34% 2.36% 2.37% 2.39% 2.41% 2.42% 2.44% 2.46% 2.47% 2.49% 2.51% 2.53% 2.54% 2.56% 2.58% 2.59% 2.61% 2.63% 2.64% 2.66% 2.68% 2.69% 2.71% 2.73% 2.74% 2.76% 2.78% 2.79% 2.81% 2.83% 2.85% 2.86% 2.88% 2.90% 2.91% 2.93% 2.95% 2.96% 2.98% 3.00% 3.01% 3.03% 3.05% 3.06% 3.08% 3.10% 3.11% 3.13% 3.15% 3.16% 3.18% 3.20% 3.22% 3.23% 3.25% 3.27% 3.28% 3.30% 3.32% 3.33% 3.35% 3.37% 3.38% 3.40% 3.42% 3.43% 3.45% 3.47% 3.48% 3.50% 3.52% 3.54% 3.55% 3.57% 3.59% 3.60% 3.62% 3.64% 3.65% 3.67% 3.69% 3.70% 3.72% 3.74% 3.75% 3.77% 3.79% 3.80% 3.82% 3.84% 3.86% 3.87% 3.89% 3.91% 3.92% 3.94% 3.96% 3.97% 3.99% 4.01% 4.02% 4.04% 4.06% 4.07% 4.09% 4.11% 4.12% 4.14% 4.16% 4.18% 4.19% 4.21% 4.23% 4.24% 4.26% 4.28% 4.29% 4.31% 4.33% 4.34% 4.36% 4.38% 4.39% 4.41% 4.43% 4.44% 4.46% 4.48% 4.49% 4.51% 4.53% 4.55% 4.56% 4.58% 4.60% 4.61% 4.63% 4.65% 4.66% 4.68% 4.70% 4.71% 4.73% 4.75% 4.76% 4.78% 4.80% 4.81% 4.83% 4.85% 4.87% 4.88% 4.90% 4.92% 4.93% 4.95% 4.97% 4.98% 5.00% 5.02% 5.03% 5.05% 5.07% 5.08% 5.10% 5.12% 5.13% 5.15% 5.17% 5.19% 5.20% 5.22% 5.24% 5.25% 5.27% 5.29% 5.30% 5.32% 5.34% 5.35% 5.37% 5.39% 5.40% 5.42% 5.44% 5.45% 5.47% 5.49% 5.51% 5.52% 5.54% 5.56% 5.57% 5.59% 5.61% 5.62% 5.64% 5.66% 5.67% 5.69% 100.00% Storing results to file Storing results: Bogus_trait Calculating max number of contrasting pairs for each nominally significant gene 0.02% 0.03% 0.05% 0.07% 0.08% 0.10% 0.12% 0.13% 0.15% 0.17% 0.19% 0.20% 0.22% 0.24% 0.25% 0.27% 0.29% 0.30% 0.32% 0.34% 0.35% 0.37% 0.39% 0.40% 0.42% 0.44% 0.45% 0.47% 0.49% 0.51% 0.52% 0.54% 0.56% 0.57% 0.59% 0.61% 0.62% 0.64% 0.66% 0.67% 0.69% 0.71% 0.72% 0.74% 0.76% 0.77% 0.79% 0.81% 0.82% 0.84% 0.86% 0.88% 0.89% 0.91% 0.93% 0.94% 0.96% 0.98% 0.99% 1.01% 1.03% 1.04% 1.06% 1.08% 1.09% 1.11% 1.13% 1.14% 1.16% 1.18% 1.20% 1.21% 1.23% 1.25% 1.26% 1.28% 1.30% 1.31% 1.33% 1.35% 1.36% 1.38% 1.40% 1.41% 1.43% 1.45% 1.46% 1.48% 1.50% 1.52% 1.53% 1.55% 1.57% 1.58% 1.60% 1.62% 1.63% 1.65% 1.67% 1.68% 1.70% 1.72% 1.73% 1.75% 1.77% 1.78% 1.80% 1.82% 1.84% 1.85% 1.87% 1.89% 1.90% 1.92% 1.94% 1.95% 1.97% 1.99% 2.00% 2.02% 2.04% 2.05% 2.07% 2.09% 2.10% 2.12% 2.14% 2.15% 2.17% 2.19% 2.21% 2.22% 2.24% 2.26% 2.27% 2.29% 2.31% 2.32% 2.34% 2.36% 2.37% 2.39% 2.41% 2.42% 2.44% 2.46% 2.47% 2.49% 2.51% 2.53% 2.54% 2.56% 2.58% 2.59% 2.61% 2.63% 2.64% 2.66% 2.68% 2.69% 2.71% 2.73% 2.74% 2.76% 2.78% 2.79% 2.81% 2.83% 2.85% 2.86% 2.88% 2.90% 2.91% 2.93% 2.95% 2.96% 2.98% 3.00% 3.01% 3.03% 3.05% 3.06% 3.08% 3.10% 3.11% 3.13% 3.15% 3.16% 3.18% 3.20% 3.22% 3.23% 3.25% 3.27% 3.28% 3.30% 3.32% 3.33% 3.35% 3.37% 3.38% 3.40% 3.42% 3.43% 3.45% 3.47% 3.48% 3.50% 3.52% 3.54% 3.55% 3.57% 3.59% 3.60% 3.62% 3.64% 3.65% 3.67% 3.69% 3.70% 3.72% 3.74% 3.75% 3.77% 3.79% 3.80% 3.82% 3.84% 3.86% 3.87% 3.89% 3.91% 100.00% Storing results to file ==== Finished ==== Checked a total of 9001 genes for associations to 2 trait(s). Total time used: 19 seconds. Scoary finished successfully, but with WARNINGS. Please check your log file. Warning. Since 1.5.0 scoary.py is deprecated. Install Scoary using 'pip install scoary instead, and run using scoary ==== Scoary started ==== Command: scoary.py -g scoary/exampledata/Gene_presence_absence.csv -t scoary/exampledata/Tetracycline_resistance.csv --no_pairwise -o Test2 --no-time Performing no pairwise comparisons. Ignoring all tree related options (user tree, population aware-correction, permutations). Reading gene presence absence file Ignoring relatedness among input sample and performing only population structure-naive analysis. Reading traits file WARNING: Some isolates have missing values for trait Bogus_trait. Missing-value isolates will not be counted in association analysis towards this trait. Finished loading files into memory. ==== Performing statistics ==== -- Filtration options -- Individual (Naive): 0.05 Collapse genes: False Tallying genes and performing statistical analyses Gene-wise counting and Fisher's exact tests for trait: Tetracycline_resistance 0.00% 0.01% 0.02% 0.03% 0.04% 0.06% 0.07% 0.08% 0.09% 0.10% 0.11% 0.12% 0.13% 0.14% 0.16% 0.17% 0.18% 0.19% 0.20% 0.21% 0.22% 0.23% 0.24% 0.26% 0.27% 0.28% 0.29% 0.30% 0.31% 0.32% 0.33% 0.34% 0.36% 0.37% 0.38% 0.39% 0.40% 0.41% 0.42% 0.43% 0.44% 0.46% 0.47% 0.48% 0.49% 0.50% 0.51% 0.52% 0.53% 0.54% 0.56% 0.57% 0.58% 0.59% 0.60% 0.61% 0.62% 0.63% 0.64% 0.66% 0.67% 0.68% 0.69% 0.70% 0.71% 0.72% 0.73% 0.74% 0.76% 0.77% 0.78% 0.79% 0.80% 0.81% 0.82% 0.83% 0.84% 0.86% 0.87% 0.88% 0.89% 0.90% 0.91% 0.92% 0.93% 0.94% 0.96% 0.97% 0.98% 0.99% 1.00% 1.01% 1.02% 1.03% 1.04% 1.06% 1.07% 1.08% 1.09% 1.10% 1.11% 1.12% 1.13% 1.14% 1.16% 1.17% 1.18% 1.19% 1.20% 1.21% 1.22% 1.23% 1.24% 1.26% 1.27% 1.28% 1.29% 1.30% 1.31% 1.32% 1.33% 1.34% 1.36% 1.37% 1.38% 1.39% 1.40% 1.41% 1.42% 1.43% 1.44% 1.46% 1.47% 1.48% 1.49% 1.50% 1.51% 1.52% 1.53% 1.54% 1.56% 1.57% 1.58% 1.59% 1.60% 1.61% 1.62% 1.63% 1.64% 1.66% 1.67% 1.68% 1.69% 1.70% 1.71% 1.72% 1.73% 1.74% 1.76% 1.77% 1.78% 1.79% 1.80% 1.81% 1.82% 1.83% 1.84% 1.86% 1.87% 1.88% 1.89% 1.90% 1.91% 1.92% 1.93% 1.94% 1.96% 1.97% 1.98% 1.99% 2.00% 2.01% 2.02% 2.03% 2.04% 2.06% 2.07% 2.08% 2.09% 2.10% 2.11% 2.12% 2.13% 2.14% 2.16% 2.17% 2.18% 2.19% 2.20% 2.21% 2.22% 2.23% 2.24% 2.26% 2.27% 2.28% 2.29% 2.30% 2.31% 2.32% 2.33% 2.34% 2.36% 2.37% 2.38% 2.39% 2.40% 2.41% 2.42% 2.43% 2.44% 2.46% 2.47% 2.48% 2.49% 2.50% 2.51% 2.52% 2.53% 2.54% 2.56% 2.57% 2.58% 2.59% 2.60% 2.61% 2.62% 2.63% 2.64% 2.66% 2.67% 2.68% 2.69% 2.70% 2.71% 2.72% 2.73% 2.74% 2.76% 2.77% 2.78% 2.79% 2.80% 2.81% 2.82% 2.83% 2.84% 2.86% 2.87% 2.88% 2.89% 2.90% 2.91% 2.92% 2.93% 2.94% 2.96% 2.97% 2.98% 2.99% 3.00% 3.01% 3.02% 3.03% 3.04% 3.06% 3.07% 3.08% 3.09% 3.10% 3.11% 3.12% 3.13% 3.14% 3.16% 3.17% 3.18% 3.19% 3.20% 3.21% 3.22% 3.23% 3.24% 3.26% 3.27% 3.28% 3.29% 3.30% 3.31% 3.32% 3.33% 3.34% 3.36% 3.37% 3.38% 3.39% 3.40% 3.41% 3.42% 3.43% 3.44% 3.46% 3.47% 3.48% 3.49% 3.50% 3.51% 3.52% 3.53% 3.54% 3.56% 3.57% 3.58% 3.59% 3.60% 3.61% 3.62% 3.63% 3.64% 3.66% 3.67% 3.68% 3.69% 3.70% 3.71% 3.72% 3.73% 3.74% 3.76% 3.77% 3.78% 3.79% 3.80% 3.81% 3.82% 3.83% 3.84% 3.86% 3.87% 3.88% 3.89% 3.90% 3.91% 3.92% 3.93% 3.94% 3.96% 3.97% 3.98% 3.99% 4.00% 4.01% 4.02% 4.03% 4.04% 4.06% 4.07% 4.08% 4.09% 4.10% 4.11% 4.12% 4.13% 4.14% 4.16% 4.17% 4.18% 4.19% 4.20% 4.21% 4.22% 4.23% 4.24% 4.26% 4.27% 4.28% 4.29% 4.30% 4.31% 4.32% 4.33% 4.34% 4.36% 4.37% 4.38% 4.39% 4.40% 4.41% 4.42% 4.43% 4.44% 4.46% 4.47% 4.48% 4.49% 4.50% 4.51% 4.52% 4.53% 4.54% 4.56% 4.57% 4.58% 4.59% 4.60% 4.61% 4.62% 4.63% 4.64% 4.66% 4.67% 4.68% 4.69% 4.70% 4.71% 4.72% 4.73% 4.74% 4.76% 4.77% 4.78% 4.79% 4.80% 4.81% 4.82% 4.83% 4.84% 4.86% 4.87% 4.88% 4.89% 4.90% 4.91% 4.92% 4.93% 4.94% 4.96% 4.97% 4.98% 4.99% 5.00% 5.01% 5.02% 5.03% 5.04% 5.05% 5.07% 5.08% 5.09% 5.10% 5.11% 5.12% 5.13% 5.14% 5.15% 5.17% 5.18% 5.19% 5.20% 5.21% 5.22% 5.23% 5.24% 5.25% 5.27% 5.28% 5.29% 5.30% 5.31% 5.32% 5.33% 5.34% 5.35% 5.37% 5.38% 5.39% 5.40% 5.41% 5.42% 5.43% 5.44% 5.45% 5.47% 5.48% 5.49% 5.50% 5.51% 5.52% 5.53% 5.54% 5.55% 5.57% 5.58% 5.59% 5.60% 5.61% 5.62% 5.63% 5.64% 5.65% 5.67% 5.68% 5.69% 5.70% 5.71% 5.72% 5.73% 5.74% 5.75% 5.77% 5.78% 5.79% 5.80% 5.81% 5.82% 5.83% 5.84% 5.85% 5.87% 5.88% 5.89% 5.90% 5.91% 5.92% 5.93% 5.94% 5.95% 5.97% 5.98% 5.99% 6.00% 6.01% 6.02% 6.03% 6.04% 6.05% 6.07% 6.08% 6.09% 6.10% 6.11% 6.12% 6.13% 6.14% 6.15% 6.17% 6.18% 6.19% 6.20% 6.21% 6.22% 6.23% 6.24% 6.25% 6.27% 6.28% 6.29% 6.30% 6.31% 6.32% 6.33% 6.34% 6.35% 6.37% 6.38% 6.39% 6.40% 6.41% 6.42% 6.43% 6.44% 6.45% 6.47% 6.48% 6.49% 6.50% 6.51% 6.52% 6.53% 6.54% 6.55% 6.57% 6.58% 6.59% 6.60% 6.61% 6.62% 6.63% 6.64% 6.65% 6.67% 6.68% 6.69% 6.70% 6.71% 6.72% 6.73% 6.74% 6.75% 6.77% 6.78% 6.79% 6.80% 6.81% 6.82% 6.83% 6.84% 6.85% 6.87% 6.88% 6.89% 6.90% 6.91% 6.92% 6.93% 6.94% 6.95% 6.97% 6.98% 6.99% 7.00% 7.01% 7.02% 7.03% 7.04% 7.05% 7.07% 7.08% 7.09% 7.10% 7.11% 7.12% 7.13% 7.14% 7.15% 7.17% 7.18% 7.19% 7.20% 7.21% 7.22% 7.23% 7.24% 7.25% 7.27% 7.28% 7.29% 7.30% 7.31% 7.32% 7.33% 7.34% 7.35% 7.37% 7.38% 7.39% 7.40% 7.41% 7.42% 7.43% 7.44% 7.45% 7.47% 7.48% 7.49% 7.50% 7.51% 7.52% 7.53% 7.54% 7.55% 7.57% 7.58% 7.59% 7.60% 7.61% 7.62% 7.63% 7.64% 7.65% 7.67% 7.68% 7.69% 7.70% 7.71% 7.72% 7.73% 7.74% 7.75% 7.77% 7.78% 7.79% 7.80% 7.81% 7.82% 7.83% 7.84% 7.85% 7.87% 7.88% 7.89% 7.90% 7.91% 7.92% 7.93% 7.94% 7.95% 7.97% 7.98% 7.99% 8.00% 8.01% 8.02% 8.03% 8.04% 8.05% 8.07% 8.08% 8.09% 8.10% 8.11% 8.12% 8.13% 8.14% 8.15% 8.17% 8.18% 8.19% 8.20% 8.21% 8.22% 8.23% 8.24% 8.25% 8.27% 8.28% 8.29% 8.30% 8.31% 8.32% 8.33% 8.34% 8.35% 8.37% 8.38% 8.39% 8.40% 8.41% 8.42% 8.43% 8.44% 8.45% 8.47% 8.48% 8.49% 8.50% 8.51% 8.52% 8.53% 8.54% 8.55% 8.57% 8.58% 8.59% 8.60% 8.61% 8.62% 8.63% 8.64% 8.65% 8.67% 8.68% 8.69% 8.70% 8.71% 8.72% 8.73% 8.74% 8.75% 8.77% 8.78% 8.79% 8.80% 8.81% 8.82% 8.83% 8.84% 8.85% 8.87% 8.88% 8.89% 8.90% 8.91% 8.92% 8.93% 8.94% 8.95% 8.97% 8.98% 8.99% 9.00% 9.01% 9.02% 9.03% 9.04% 9.05% 9.07% 9.08% 9.09% 9.10% 9.11% 9.12% 9.13% 9.14% 9.15% 9.17% 9.18% 9.19% 9.20% 9.21% 9.22% 9.23% 9.24% 9.25% 9.27% 9.28% 9.29% 9.30% 9.31% 9.32% 9.33% 9.34% 9.35% 9.37% 9.38% 9.39% 9.40% 9.41% 9.42% 9.43% 9.44% 9.45% 9.47% 9.48% 9.49% 9.50% 9.51% 9.52% 9.53% 9.54% 9.55% 9.57% 9.58% 9.59% 9.60% 9.61% 9.62% 9.63% 9.64% 9.65% 9.67% 9.68% 9.69% 9.70% 9.71% 9.72% 9.73% 9.74% 9.75% 9.77% 9.78% 9.79% 9.80% 9.81% 9.82% 9.83% 9.84% 9.85% 9.87% 9.88% 9.89% 9.90% 9.91% 9.92% 9.93% 9.94% 9.95% 9.97% 9.98% 9.99% 10.00% 10.01% 10.02% 10.03% 10.04% 10.05% 10.07% 10.08% 10.09% 10.10% 10.11% 10.12% 10.13% 10.14% 10.15% 10.17% 10.18% 10.19% 10.20% 10.21% 10.22% 10.23% 10.24% 10.25% 10.27% 10.28% 10.29% 10.30% 10.31% 10.32% 10.33% 10.34% 10.35% 10.37% 10.38% 10.39% 10.40% 10.41% 10.42% 10.43% 10.44% 10.45% 10.47% 10.48% 10.49% 10.50% 10.51% 10.52% 10.53% 10.54% 10.55% 10.57% 10.58% 10.59% 10.60% 10.61% 10.62% 10.63% 10.64% 10.65% 10.67% 10.68% 10.69% 10.70% 10.71% 10.72% 10.73% 10.74% 10.75% 10.77% 10.78% 10.79% 10.80% 10.81% 10.82% 10.83% 10.84% 10.85% 10.87% 10.88% 10.89% 10.90% 10.91% 10.92% 10.93% 10.94% 10.95% 10.97% 10.98% 10.99% 11.00% 11.01% 11.02% 11.03% 11.04% 11.05% 11.07% 11.08% 11.09% 11.10% 11.11% 11.12% 11.13% 11.14% 11.15% 11.17% 11.18% 11.19% 11.20% 11.21% 11.22% 11.23% 11.24% 11.25% 11.27% 11.28% 11.29% 11.30% 11.31% 11.32% 11.33% 11.34% 11.35% 11.37% 11.38% 11.39% 11.40% 11.41% 11.42% 11.43% 11.44% 11.45% 11.47% 11.48% 11.49% 11.50% 11.51% 11.52% 11.53% 11.54% 11.55% 11.57% 11.58% 11.59% 11.60% 11.61% 11.62% 11.63% 11.64% 11.65% 11.67% 11.68% 11.69% 11.70% 11.71% 11.72% 11.73% 11.74% 11.75% 11.77% 11.78% 11.79% 11.80% 11.81% 11.82% 11.83% 11.84% 11.85% 11.87% 11.88% 11.89% 11.90% 11.91% 11.92% 11.93% 11.94% 11.95% 11.97% 11.98% 11.99% 12.00% 12.01% 12.02% 12.03% 12.04% 12.05% 12.07% 12.08% 12.09% 12.10% 12.11% 12.12% 12.13% 12.14% 12.15% 12.17% 12.18% 12.19% 12.20% 12.21% 12.22% 12.23% 12.24% 12.25% 12.27% 12.28% 12.29% 12.30% 12.31% 12.32% 12.33% 12.34% 12.35% 12.37% 12.38% 12.39% 12.40% 12.41% 12.42% 12.43% 12.44% 12.45% 12.47% 12.48% 12.49% 12.50% 12.51% 12.52% 12.53% 12.54% 12.55% 12.57% 12.58% 12.59% 12.60% 12.61% 12.62% 12.63% 12.64% 12.65% 12.67% 12.68% 12.69% 12.70% 12.71% 12.72% 12.73% 12.74% 12.75% 12.77% 12.78% 12.79% 12.80% 12.81% 12.82% 12.83% 12.84% 12.85% 12.87% 12.88% 12.89% 12.90% 12.91% 12.92% 12.93% 12.94% 12.95% 12.97% 12.98% 12.99% 13.00% 13.01% 13.02% 13.03% 13.04% 13.05% 13.07% 13.08% 13.09% 13.10% 13.11% 13.12% 13.13% 13.14% 13.15% 13.17% 13.18% 13.19% 13.20% 13.21% 13.22% 13.23% 13.24% 13.25% 13.27% 13.28% 13.29% 13.30% 13.31% 13.32% 13.33% 13.34% 13.35% 13.37% 13.38% 13.39% 13.40% 13.41% 13.42% 13.43% 13.44% 13.45% 13.47% 13.48% 13.49% 13.50% 13.51% 13.52% 13.53% 13.54% 13.55% 13.57% 13.58% 13.59% 13.60% 13.61% 13.62% 13.63% 13.64% 13.65% 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86.75% 86.76% 86.77% 86.78% 86.79% 86.80% 86.81% 86.82% 86.83% 86.85% 86.86% 86.87% 86.88% 86.89% 86.90% 86.91% 86.92% 86.93% 86.95% 86.96% 86.97% 86.98% 86.99% 87.00% 87.01% 87.02% 87.03% 87.05% 87.06% 87.07% 87.08% 87.09% 87.10% 87.11% 87.12% 87.13% 87.15% 87.16% 87.17% 87.18% 87.19% 87.20% 87.21% 87.22% 87.23% 87.25% 87.26% 87.27% 87.28% 87.29% 87.30% 87.31% 87.32% 87.33% 87.35% 87.36% 87.37% 87.38% 87.39% 87.40% 87.41% 87.42% 87.43% 87.45% 87.46% 87.47% 87.48% 87.49% 87.50% 87.51% 87.52% 87.53% 87.55% 87.56% 87.57% 87.58% 87.59% 87.60% 87.61% 87.62% 87.63% 87.65% 87.66% 87.67% 87.68% 87.69% 87.70% 87.71% 87.72% 87.73% 87.75% 87.76% 87.77% 87.78% 87.79% 87.80% 87.81% 87.82% 87.83% 87.85% 87.86% 87.87% 87.88% 87.89% 87.90% 87.91% 87.92% 87.93% 87.95% 87.96% 87.97% 87.98% 87.99% 88.00% 88.01% 88.02% 88.03% 88.05% 88.06% 88.07% 88.08% 88.09% 88.10% 88.11% 88.12% 88.13% 88.15% 88.16% 88.17% 88.18% 88.19% 88.20% 88.21% 88.22% 88.23% 88.25% 88.26% 88.27% 88.28% 88.29% 88.30% 88.31% 88.32% 88.33% 88.35% 88.36% 88.37% 88.38% 88.39% 88.40% 88.41% 88.42% 88.43% 88.45% 88.46% 88.47% 88.48% 88.49% 88.50% 88.51% 88.52% 88.53% 88.55% 88.56% 88.57% 88.58% 88.59% 88.60% 88.61% 88.62% 88.63% 88.65% 88.66% 88.67% 88.68% 88.69% 88.70% 88.71% 88.72% 88.73% 88.75% 88.76% 88.77% 88.78% 88.79% 88.80% 88.81% 88.82% 88.83% 88.85% 88.86% 88.87% 88.88% 88.89% 88.90% 88.91% 88.92% 88.93% 88.95% 88.96% 88.97% 88.98% 88.99% 89.00% 89.01% 89.02% 89.03% 89.05% 89.06% 89.07% 89.08% 89.09% 89.10% 89.11% 89.12% 89.13% 89.15% 89.16% 89.17% 89.18% 89.19% 89.20% 89.21% 89.22% 89.23% 89.25% 89.26% 89.27% 89.28% 89.29% 89.30% 89.31% 89.32% 89.33% 89.35% 89.36% 89.37% 89.38% 89.39% 89.40% 89.41% 89.42% 89.43% 89.45% 89.46% 89.47% 89.48% 89.49% 89.50% 89.51% 89.52% 89.53% 89.55% 89.56% 89.57% 89.58% 89.59% 89.60% 89.61% 89.62% 89.63% 89.65% 89.66% 89.67% 89.68% 89.69% 89.70% 89.71% 89.72% 89.73% 89.75% 89.76% 89.77% 89.78% 89.79% 89.80% 89.81% 89.82% 89.83% 89.85% 89.86% 89.87% 89.88% 89.89% 89.90% 89.91% 89.92% 89.93% 89.95% 89.96% 89.97% 89.98% 89.99% 90.00% 90.01% 90.02% 90.03% 90.05% 90.06% 90.07% 90.08% 90.09% 90.10% 90.11% 90.12% 90.13% 90.15% 90.16% 90.17% 90.18% 90.19% 90.20% 90.21% 90.22% 90.23% 90.25% 90.26% 90.27% 90.28% 90.29% 90.30% 90.31% 90.32% 90.33% 90.35% 90.36% 90.37% 90.38% 90.39% 90.40% 90.41% 90.42% 90.43% 90.45% 90.46% 90.47% 90.48% 90.49% 90.50% 90.51% 90.52% 90.53% 90.55% 90.56% 90.57% 90.58% 90.59% 90.60% 90.61% 90.62% 90.63% 90.65% 90.66% 90.67% 90.68% 90.69% 90.70% 90.71% 90.72% 90.73% 90.75% 90.76% 90.77% 90.78% 90.79% 90.80% 90.81% 90.82% 90.83% 90.85% 90.86% 90.87% 90.88% 90.89% 90.90% 90.91% 90.92% 90.93% 90.95% 90.96% 90.97% 90.98% 90.99% 91.00% 91.01% 91.02% 91.03% 91.05% 91.06% 91.07% 91.08% 91.09% 91.10% 91.11% 91.12% 91.13% 91.15% 91.16% 91.17% 91.18% 91.19% 91.20% 91.21% 91.22% 91.23% 91.25% 91.26% 91.27% 91.28% 91.29% 91.30% 91.31% 91.32% 91.33% 91.35% 91.36% 91.37% 91.38% 91.39% 91.40% 91.41% 91.42% 91.43% 91.45% 91.46% 91.47% 91.48% 91.49% 91.50% 91.51% 91.52% 91.53% 91.55% 91.56% 91.57% 91.58% 91.59% 91.60% 91.61% 91.62% 91.63% 91.65% 91.66% 91.67% 91.68% 91.69% 91.70% 91.71% 91.72% 91.73% 91.75% 91.76% 91.77% 91.78% 91.79% 91.80% 91.81% 91.82% 91.83% 91.85% 91.86% 91.87% 91.88% 91.89% 91.90% 91.91% 91.92% 91.93% 91.95% 91.96% 91.97% 91.98% 91.99% 92.00% 92.01% 92.02% 92.03% 92.05% 92.06% 92.07% 92.08% 92.09% 92.10% 92.11% 92.12% 92.13% 92.15% 92.16% 92.17% 92.18% 92.19% 92.20% 92.21% 92.22% 92.23% 92.25% 92.26% 92.27% 92.28% 92.29% 92.30% 92.31% 92.32% 92.33% 92.35% 92.36% 92.37% 92.38% 92.39% 92.40% 92.41% 92.42% 92.43% 92.45% 92.46% 92.47% 92.48% 92.49% 92.50% 92.51% 92.52% 92.53% 92.55% 92.56% 92.57% 92.58% 92.59% 92.60% 92.61% 92.62% 92.63% 92.65% 92.66% 92.67% 92.68% 92.69% 92.70% 92.71% 92.72% 92.73% 92.75% 92.76% 92.77% 92.78% 92.79% 92.80% 92.81% 92.82% 92.83% 92.85% 92.86% 92.87% 92.88% 92.89% 92.90% 92.91% 92.92% 92.93% 92.95% 92.96% 92.97% 92.98% 92.99% 93.00% 93.01% 93.02% 93.03% 93.05% 93.06% 93.07% 93.08% 93.09% 93.10% 93.11% 93.12% 93.13% 93.15% 93.16% 93.17% 93.18% 93.19% 93.20% 93.21% 93.22% 93.23% 93.25% 93.26% 93.27% 93.28% 93.29% 93.30% 93.31% 93.32% 93.33% 93.35% 93.36% 93.37% 93.38% 93.39% 93.40% 93.41% 93.42% 93.43% 93.45% 93.46% 93.47% 93.48% 93.49% 93.50% 93.51% 93.52% 93.53% 93.55% 93.56% 93.57% 93.58% 93.59% 93.60% 93.61% 93.62% 93.63% 93.65% 93.66% 93.67% 93.68% 93.69% 93.70% 93.71% 93.72% 93.73% 93.75% 93.76% 93.77% 93.78% 93.79% 93.80% 93.81% 93.82% 93.83% 93.85% 93.86% 93.87% 93.88% 93.89% 93.90% 93.91% 93.92% 93.93% 93.95% 93.96% 93.97% 93.98% 93.99% 94.00% 94.01% 94.02% 94.03% 94.05% 94.06% 94.07% 94.08% 94.09% 94.10% 94.11% 94.12% 94.13% 94.15% 94.16% 94.17% 94.18% 94.19% 94.20% 94.21% 94.22% 94.23% 94.25% 94.26% 94.27% 94.28% 94.29% 94.30% 94.31% 94.32% 94.33% 94.35% 94.36% 94.37% 94.38% 94.39% 94.40% 94.41% 94.42% 94.43% 94.45% 94.46% 94.47% 94.48% 94.49% 94.50% 94.51% 94.52% 94.53% 94.55% 94.56% 94.57% 94.58% 94.59% 94.60% 94.61% 94.62% 94.63% 94.65% 94.66% 94.67% 94.68% 94.69% 94.70% 94.71% 94.72% 94.73% 94.75% 94.76% 94.77% 94.78% 94.79% 94.80% 94.81% 94.82% 94.83% 94.85% 94.86% 94.87% 94.88% 94.89% 94.90% 94.91% 94.92% 94.93% 94.95% 94.96% 94.97% 94.98% 94.99% 95.00% 95.01% 95.02% 95.03% 95.04% 95.06% 95.07% 95.08% 95.09% 95.10% 95.11% 95.12% 95.13% 95.14% 95.16% 95.17% 95.18% 95.19% 95.20% 95.21% 95.22% 95.23% 95.24% 95.26% 95.27% 95.28% 95.29% 95.30% 95.31% 95.32% 95.33% 95.34% 95.36% 95.37% 95.38% 95.39% 95.40% 95.41% 95.42% 95.43% 95.44% 95.46% 95.47% 95.48% 95.49% 95.50% 95.51% 95.52% 95.53% 95.54% 95.56% 95.57% 95.58% 95.59% 95.60% 95.61% 95.62% 95.63% 95.64% 95.66% 95.67% 95.68% 95.69% 95.70% 95.71% 95.72% 95.73% 95.74% 95.76% 95.77% 95.78% 95.79% 95.80% 95.81% 95.82% 95.83% 95.84% 95.86% 95.87% 95.88% 95.89% 95.90% 95.91% 95.92% 95.93% 95.94% 95.96% 95.97% 95.98% 95.99% 96.00% 96.01% 96.02% 96.03% 96.04% 96.06% 96.07% 96.08% 96.09% 96.10% 96.11% 96.12% 96.13% 96.14% 96.16% 96.17% 96.18% 96.19% 96.20% 96.21% 96.22% 96.23% 96.24% 96.26% 96.27% 96.28% 96.29% 96.30% 96.31% 96.32% 96.33% 96.34% 96.36% 96.37% 96.38% 96.39% 96.40% 96.41% 96.42% 96.43% 96.44% 96.46% 96.47% 96.48% 96.49% 96.50% 96.51% 96.52% 96.53% 96.54% 96.56% 96.57% 96.58% 96.59% 96.60% 96.61% 96.62% 96.63% 96.64% 96.66% 96.67% 96.68% 96.69% 96.70% 96.71% 96.72% 96.73% 96.74% 96.76% 96.77% 96.78% 96.79% 96.80% 96.81% 96.82% 96.83% 96.84% 96.86% 96.87% 96.88% 96.89% 96.90% 96.91% 96.92% 96.93% 96.94% 96.96% 96.97% 96.98% 96.99% 97.00% 97.01% 97.02% 97.03% 97.04% 97.06% 97.07% 97.08% 97.09% 97.10% 97.11% 97.12% 97.13% 97.14% 97.16% 97.17% 97.18% 97.19% 97.20% 97.21% 97.22% 97.23% 97.24% 97.26% 97.27% 97.28% 97.29% 97.30% 97.31% 97.32% 97.33% 97.34% 97.36% 97.37% 97.38% 97.39% 97.40% 97.41% 97.42% 97.43% 97.44% 97.46% 97.47% 97.48% 97.49% 97.50% 97.51% 97.52% 97.53% 97.54% 97.56% 97.57% 97.58% 97.59% 97.60% 97.61% 97.62% 97.63% 97.64% 97.66% 97.67% 97.68% 97.69% 97.70% 97.71% 97.72% 97.73% 97.74% 97.76% 97.77% 97.78% 97.79% 97.80% 97.81% 97.82% 97.83% 97.84% 97.86% 97.87% 97.88% 97.89% 97.90% 97.91% 97.92% 97.93% 97.94% 97.96% 97.97% 97.98% 97.99% 98.00% 98.01% 98.02% 98.03% 98.04% 98.06% 98.07% 98.08% 98.09% 98.10% 98.11% 98.12% 98.13% 98.14% 98.16% 98.17% 98.18% 98.19% 98.20% 98.21% 98.22% 98.23% 98.24% 98.26% 98.27% 98.28% 98.29% 98.30% 98.31% 98.32% 98.33% 98.34% 98.36% 98.37% 98.38% 98.39% 98.40% 98.41% 98.42% 98.43% 98.44% 98.46% 98.47% 98.48% 98.49% 98.50% 98.51% 98.52% 98.53% 98.54% 98.56% 98.57% 98.58% 98.59% 98.60% 98.61% 98.62% 98.63% 98.64% 98.66% 98.67% 98.68% 98.69% 98.70% 98.71% 98.72% 98.73% 98.74% 98.76% 98.77% 98.78% 98.79% 98.80% 98.81% 98.82% 98.83% 98.84% 98.86% 98.87% 98.88% 98.89% 98.90% 98.91% 98.92% 98.93% 98.94% 98.96% 98.97% 98.98% 98.99% 99.00% 99.01% 99.02% 99.03% 99.04% 99.06% 99.07% 99.08% 99.09% 99.10% 99.11% 99.12% 99.13% 99.14% 99.16% 99.17% 99.18% 99.19% 99.20% 99.21% 99.22% 99.23% 99.24% 99.26% 99.27% 99.28% 99.29% 99.30% 99.31% 99.32% 99.33% 99.34% 99.36% 99.37% 99.38% 99.39% 99.40% 99.41% 99.42% 99.43% 99.44% 99.46% 99.47% 99.48% 99.49% 99.50% 99.51% 99.52% 99.53% 99.54% 99.56% 99.57% 99.58% 99.59% 99.60% 99.61% 99.62% 99.63% 99.64% 99.66% 99.67% 99.68% 99.69% 99.70% 99.71% 99.72% 99.73% 99.74% 99.76% 99.77% 99.78% 99.79% 99.80% 99.81% 99.82% 99.83% 99.84% 99.86% 99.87% 99.88% 99.89% 99.90% 99.91% 99.92% 99.93% 99.94% 99.96% 99.97% 99.98% 99.99% 100.00% Adding p-values adjusted for testing multiple hypotheses Gene-wise counting and Fisher's exact tests for trait: Bogus_trait 0.00% 0.01% 0.02% 0.03% 0.04% 0.06% 0.07% 0.08% 0.09% 0.10% 0.11% 0.12% 0.13% 0.14% 0.16% 0.17% 0.18% 0.19% 0.20% 0.21% 0.22% 0.23% 0.24% 0.26% 0.27% 0.28% 0.29% 0.30% 0.31% 0.32% 0.33% 0.34% 0.36% 0.37% 0.38% 0.39% 0.40% 0.41% 0.42% 0.43% 0.44% 0.46% 0.47% 0.48% 0.49% 0.50% 0.51% 0.52% 0.53% 0.54% 0.56% 0.57% 0.58% 0.59% 0.60% 0.61% 0.62% 0.63% 0.64% 0.66% 0.67% 0.68% 0.69% 0.70% 0.71% 0.72% 0.73% 0.74% 0.76% 0.77% 0.78% 0.79% 0.80% 0.81% 0.82% 0.83% 0.84% 0.86% 0.87% 0.88% 0.89% 0.90% 0.91% 0.92% 0.93% 0.94% 0.96% 0.97% 0.98% 0.99% 1.00% 1.01% 1.02% 1.03% 1.04% 1.06% 1.07% 1.08% 1.09% 1.10% 1.11% 1.12% 1.13% 1.14% 1.16% 1.17% 1.18% 1.19% 1.20% 1.21% 1.22% 1.23% 1.24% 1.26% 1.27% 1.28% 1.29% 1.30% 1.31% 1.32% 1.33% 1.34% 1.36% 1.37% 1.38% 1.39% 1.40% 1.41% 1.42% 1.43% 1.44% 1.46% 1.47% 1.48% 1.49% 1.50% 1.51% 1.52% 1.53% 1.54% 1.56% 1.57% 1.58% 1.59% 1.60% 1.61% 1.62% 1.63% 1.64% 1.66% 1.67% 1.68% 1.69% 1.70% 1.71% 1.72% 1.73% 1.74% 1.76% 1.77% 1.78% 1.79% 1.80% 1.81% 1.82% 1.83% 1.84% 1.86% 1.87% 1.88% 1.89% 1.90% 1.91% 1.92% 1.93% 1.94% 1.96% 1.97% 1.98% 1.99% 2.00% 2.01% 2.02% 2.03% 2.04% 2.06% 2.07% 2.08% 2.09% 2.10% 2.11% 2.12% 2.13% 2.14% 2.16% 2.17% 2.18% 2.19% 2.20% 2.21% 2.22% 2.23% 2.24% 2.26% 2.27% 2.28% 2.29% 2.30% 2.31% 2.32% 2.33% 2.34% 2.36% 2.37% 2.38% 2.39% 2.40% 2.41% 2.42% 2.43% 2.44% 2.46% 2.47% 2.48% 2.49% 2.50% 2.51% 2.52% 2.53% 2.54% 2.56% 2.57% 2.58% 2.59% 2.60% 2.61% 2.62% 2.63% 2.64% 2.66% 2.67% 2.68% 2.69% 2.70% 2.71% 2.72% 2.73% 2.74% 2.76% 2.77% 2.78% 2.79% 2.80% 2.81% 2.82% 2.83% 2.84% 2.86% 2.87% 2.88% 2.89% 2.90% 2.91% 2.92% 2.93% 2.94% 2.96% 2.97% 2.98% 2.99% 3.00% 3.01% 3.02% 3.03% 3.04% 3.06% 3.07% 3.08% 3.09% 3.10% 3.11% 3.12% 3.13% 3.14% 3.16% 3.17% 3.18% 3.19% 3.20% 3.21% 3.22% 3.23% 3.24% 3.26% 3.27% 3.28% 3.29% 3.30% 3.31% 3.32% 3.33% 3.34% 3.36% 3.37% 3.38% 3.39% 3.40% 3.41% 3.42% 3.43% 3.44% 3.46% 3.47% 3.48% 3.49% 3.50% 3.51% 3.52% 3.53% 3.54% 3.56% 3.57% 3.58% 3.59% 3.60% 3.61% 3.62% 3.63% 3.64% 3.66% 3.67% 3.68% 3.69% 3.70% 3.71% 3.72% 3.73% 3.74% 3.76% 3.77% 3.78% 3.79% 3.80% 3.81% 3.82% 3.83% 3.84% 3.86% 3.87% 3.88% 3.89% 3.90% 3.91% 3.92% 3.93% 3.94% 3.96% 3.97% 3.98% 3.99% 4.00% 4.01% 4.02% 4.03% 4.04% 4.06% 4.07% 4.08% 4.09% 4.10% 4.11% 4.12% 4.13% 4.14% 4.16% 4.17% 4.18% 4.19% 4.20% 4.21% 4.22% 4.23% 4.24% 4.26% 4.27% 4.28% 4.29% 4.30% 4.31% 4.32% 4.33% 4.34% 4.36% 4.37% 4.38% 4.39% 4.40% 4.41% 4.42% 4.43% 4.44% 4.46% 4.47% 4.48% 4.49% 4.50% 4.51% 4.52% 4.53% 4.54% 4.56% 4.57% 4.58% 4.59% 4.60% 4.61% 4.62% 4.63% 4.64% 4.66% 4.67% 4.68% 4.69% 4.70% 4.71% 4.72% 4.73% 4.74% 4.76% 4.77% 4.78% 4.79% 4.80% 4.81% 4.82% 4.83% 4.84% 4.86% 4.87% 4.88% 4.89% 4.90% 4.91% 4.92% 4.93% 4.94% 4.96% 4.97% 4.98% 4.99% 5.00% 5.01% 5.02% 5.03% 5.04% 5.05% 5.07% 5.08% 5.09% 5.10% 5.11% 5.12% 5.13% 5.14% 5.15% 5.17% 5.18% 5.19% 5.20% 5.21% 5.22% 5.23% 5.24% 5.25% 5.27% 5.28% 5.29% 5.30% 5.31% 5.32% 5.33% 5.34% 5.35% 5.37% 5.38% 5.39% 5.40% 5.41% 5.42% 5.43% 5.44% 5.45% 5.47% 5.48% 5.49% 5.50% 5.51% 5.52% 5.53% 5.54% 5.55% 5.57% 5.58% 5.59% 5.60% 5.61% 5.62% 5.63% 5.64% 5.65% 5.67% 5.68% 5.69% 5.70% 5.71% 5.72% 5.73% 5.74% 5.75% 5.77% 5.78% 5.79% 5.80% 5.81% 5.82% 5.83% 5.84% 5.85% 5.87% 5.88% 5.89% 5.90% 5.91% 5.92% 5.93% 5.94% 5.95% 5.97% 5.98% 5.99% 6.00% 6.01% 6.02% 6.03% 6.04% 6.05% 6.07% 6.08% 6.09% 6.10% 6.11% 6.12% 6.13% 6.14% 6.15% 6.17% 6.18% 6.19% 6.20% 6.21% 6.22% 6.23% 6.24% 6.25% 6.27% 6.28% 6.29% 6.30% 6.31% 6.32% 6.33% 6.34% 6.35% 6.37% 6.38% 6.39% 6.40% 6.41% 6.42% 6.43% 6.44% 6.45% 6.47% 6.48% 6.49% 6.50% 6.51% 6.52% 6.53% 6.54% 6.55% 6.57% 6.58% 6.59% 6.60% 6.61% 6.62% 6.63% 6.64% 6.65% 6.67% 6.68% 6.69% 6.70% 6.71% 6.72% 6.73% 6.74% 6.75% 6.77% 6.78% 6.79% 6.80% 6.81% 6.82% 6.83% 6.84% 6.85% 6.87% 6.88% 6.89% 6.90% 6.91% 6.92% 6.93% 6.94% 6.95% 6.97% 6.98% 6.99% 7.00% 7.01% 7.02% 7.03% 7.04% 7.05% 7.07% 7.08% 7.09% 7.10% 7.11% 7.12% 7.13% 7.14% 7.15% 7.17% 7.18% 7.19% 7.20% 7.21% 7.22% 7.23% 7.24% 7.25% 7.27% 7.28% 7.29% 7.30% 7.31% 7.32% 7.33% 7.34% 7.35% 7.37% 7.38% 7.39% 7.40% 7.41% 7.42% 7.43% 7.44% 7.45% 7.47% 7.48% 7.49% 7.50% 7.51% 7.52% 7.53% 7.54% 7.55% 7.57% 7.58% 7.59% 7.60% 7.61% 7.62% 7.63% 7.64% 7.65% 7.67% 7.68% 7.69% 7.70% 7.71% 7.72% 7.73% 7.74% 7.75% 7.77% 7.78% 7.79% 7.80% 7.81% 7.82% 7.83% 7.84% 7.85% 7.87% 7.88% 7.89% 7.90% 7.91% 7.92% 7.93% 7.94% 7.95% 7.97% 7.98% 7.99% 8.00% 8.01% 8.02% 8.03% 8.04% 8.05% 8.07% 8.08% 8.09% 8.10% 8.11% 8.12% 8.13% 8.14% 8.15% 8.17% 8.18% 8.19% 8.20% 8.21% 8.22% 8.23% 8.24% 8.25% 8.27% 8.28% 8.29% 8.30% 8.31% 8.32% 8.33% 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83.25% 83.26% 83.27% 83.28% 83.29% 83.30% 83.31% 83.32% 83.34% 83.35% 83.36% 83.37% 83.38% 83.39% 83.40% 83.41% 83.42% 83.44% 83.45% 83.46% 83.47% 83.48% 83.49% 83.50% 83.51% 83.52% 83.54% 83.55% 83.56% 83.57% 83.58% 83.59% 83.60% 83.61% 83.62% 83.64% 83.65% 83.66% 83.67% 83.68% 83.69% 83.70% 83.71% 83.72% 83.74% 83.75% 83.76% 83.77% 83.78% 83.79% 83.80% 83.81% 83.82% 83.84% 83.85% 83.86% 83.87% 83.88% 83.89% 83.90% 83.91% 83.92% 83.94% 83.95% 83.96% 83.97% 83.98% 83.99% 84.00% 84.01% 84.02% 84.04% 84.05% 84.06% 84.07% 84.08% 84.09% 84.10% 84.11% 84.12% 84.14% 84.15% 84.16% 84.17% 84.18% 84.19% 84.20% 84.21% 84.22% 84.24% 84.25% 84.26% 84.27% 84.28% 84.29% 84.30% 84.31% 84.32% 84.34% 84.35% 84.36% 84.37% 84.38% 84.39% 84.40% 84.41% 84.42% 84.44% 84.45% 84.46% 84.47% 84.48% 84.49% 84.50% 84.51% 84.52% 84.54% 84.55% 84.56% 84.57% 84.58% 84.59% 84.60% 84.61% 84.62% 84.64% 84.65% 84.66% 84.67% 84.68% 84.69% 84.70% 84.71% 84.72% 84.74% 84.75% 84.76% 84.77% 84.78% 84.79% 84.80% 84.81% 84.82% 84.84% 84.85% 84.86% 84.87% 84.88% 84.89% 84.90% 84.91% 84.92% 84.94% 84.95% 84.96% 84.97% 84.98% 84.99% 85.00% 85.01% 85.02% 85.03% 85.05% 85.06% 85.07% 85.08% 85.09% 85.10% 85.11% 85.12% 85.13% 85.15% 85.16% 85.17% 85.18% 85.19% 85.20% 85.21% 85.22% 85.23% 85.25% 85.26% 85.27% 85.28% 85.29% 85.30% 85.31% 85.32% 85.33% 85.35% 85.36% 85.37% 85.38% 85.39% 85.40% 85.41% 85.42% 85.43% 85.45% 85.46% 85.47% 85.48% 85.49% 85.50% 85.51% 85.52% 85.53% 85.55% 85.56% 85.57% 85.58% 85.59% 85.60% 85.61% 85.62% 85.63% 85.65% 85.66% 85.67% 85.68% 85.69% 85.70% 85.71% 85.72% 85.73% 85.75% 85.76% 85.77% 85.78% 85.79% 85.80% 85.81% 85.82% 85.83% 85.85% 85.86% 85.87% 85.88% 85.89% 85.90% 85.91% 85.92% 85.93% 85.95% 85.96% 85.97% 85.98% 85.99% 86.00% 86.01% 86.02% 86.03% 86.05% 86.06% 86.07% 86.08% 86.09% 86.10% 86.11% 86.12% 86.13% 86.15% 86.16% 86.17% 86.18% 86.19% 86.20% 86.21% 86.22% 86.23% 86.25% 86.26% 86.27% 86.28% 86.29% 86.30% 86.31% 86.32% 86.33% 86.35% 86.36% 86.37% 86.38% 86.39% 86.40% 86.41% 86.42% 86.43% 86.45% 86.46% 86.47% 86.48% 86.49% 86.50% 86.51% 86.52% 86.53% 86.55% 86.56% 86.57% 86.58% 86.59% 86.60% 86.61% 86.62% 86.63% 86.65% 86.66% 86.67% 86.68% 86.69% 86.70% 86.71% 86.72% 86.73% 86.75% 86.76% 86.77% 86.78% 86.79% 86.80% 86.81% 86.82% 86.83% 86.85% 86.86% 86.87% 86.88% 86.89% 86.90% 86.91% 86.92% 86.93% 86.95% 86.96% 86.97% 86.98% 86.99% 87.00% 87.01% 87.02% 87.03% 87.05% 87.06% 87.07% 87.08% 87.09% 87.10% 87.11% 87.12% 87.13% 87.15% 87.16% 87.17% 87.18% 87.19% 87.20% 87.21% 87.22% 87.23% 87.25% 87.26% 87.27% 87.28% 87.29% 87.30% 87.31% 87.32% 87.33% 87.35% 87.36% 87.37% 87.38% 87.39% 87.40% 87.41% 87.42% 87.43% 87.45% 87.46% 87.47% 87.48% 87.49% 87.50% 87.51% 87.52% 87.53% 87.55% 87.56% 87.57% 87.58% 87.59% 87.60% 87.61% 87.62% 87.63% 87.65% 87.66% 87.67% 87.68% 87.69% 87.70% 87.71% 87.72% 87.73% 87.75% 87.76% 87.77% 87.78% 87.79% 87.80% 87.81% 87.82% 87.83% 87.85% 87.86% 87.87% 87.88% 87.89% 87.90% 87.91% 87.92% 87.93% 87.95% 87.96% 87.97% 87.98% 87.99% 88.00% 88.01% 88.02% 88.03% 88.05% 88.06% 88.07% 88.08% 88.09% 88.10% 88.11% 88.12% 88.13% 88.15% 88.16% 88.17% 88.18% 88.19% 88.20% 88.21% 88.22% 88.23% 88.25% 88.26% 88.27% 88.28% 88.29% 88.30% 88.31% 88.32% 88.33% 88.35% 88.36% 88.37% 88.38% 88.39% 88.40% 88.41% 88.42% 88.43% 88.45% 88.46% 88.47% 88.48% 88.49% 88.50% 88.51% 88.52% 88.53% 88.55% 88.56% 88.57% 88.58% 88.59% 88.60% 88.61% 88.62% 88.63% 88.65% 88.66% 88.67% 88.68% 88.69% 88.70% 88.71% 88.72% 88.73% 88.75% 88.76% 88.77% 88.78% 88.79% 88.80% 88.81% 88.82% 88.83% 88.85% 88.86% 88.87% 88.88% 88.89% 88.90% 88.91% 88.92% 88.93% 88.95% 88.96% 88.97% 88.98% 88.99% 89.00% 89.01% 89.02% 89.03% 89.05% 89.06% 89.07% 89.08% 89.09% 89.10% 89.11% 89.12% 89.13% 89.15% 89.16% 89.17% 89.18% 89.19% 89.20% 89.21% 89.22% 89.23% 89.25% 89.26% 89.27% 89.28% 89.29% 89.30% 89.31% 89.32% 89.33% 89.35% 89.36% 89.37% 89.38% 89.39% 89.40% 89.41% 89.42% 89.43% 89.45% 89.46% 89.47% 89.48% 89.49% 89.50% 89.51% 89.52% 89.53% 89.55% 89.56% 89.57% 89.58% 89.59% 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99.13% 99.14% 99.16% 99.17% 99.18% 99.19% 99.20% 99.21% 99.22% 99.23% 99.24% 99.26% 99.27% 99.28% 99.29% 99.30% 99.31% 99.32% 99.33% 99.34% 99.36% 99.37% 99.38% 99.39% 99.40% 99.41% 99.42% 99.43% 99.44% 99.46% 99.47% 99.48% 99.49% 99.50% 99.51% 99.52% 99.53% 99.54% 99.56% 99.57% 99.58% 99.59% 99.60% 99.61% 99.62% 99.63% 99.64% 99.66% 99.67% 99.68% 99.69% 99.70% 99.71% 99.72% 99.73% 99.74% 99.76% 99.77% 99.78% 99.79% 99.80% 99.81% 99.82% 99.83% 99.84% 99.86% 99.87% 99.88% 99.89% 99.90% 99.91% 99.92% 99.93% 99.94% 99.96% 99.97% 99.98% 99.99% 100.00% Adding p-values adjusted for testing multiple hypotheses Storing results: Tetracycline_resistance Skipping population structure-aware analyses. Storing results to file Storing results: Bogus_trait Skipping population structure-aware analyses. Storing results to file ==== Finished ==== Checked a total of 9001 genes for associations to 2 trait(s). Total time used: 12 seconds. Scoary finished successfully, but with WARNINGS. Please check your log file. Warning. Since 1.5.0 scoary.py is deprecated. Install Scoary using 'pip install scoary instead, and run using scoary ==== Scoary started ==== Command: scoary.py -g scoary/exampledata/Gene_presence_absence.csv -t scoary/exampledata/Tetracycline_resistance.csv -r scoary/exampledata/Restrict_to.csv -w -o Test3 --no-time Reading gene presence absence file Writing gene presence absence file for the reduced set of isolates Finished writing reduced gene presence absence list to file Test3/gene_presence_absence_reduced.csv Creating Hamming distance matrix based on gene presence/absence Building UPGMA tree from distance matrix Reading traits file WARNING: Some isolates have missing values for trait Bogus_trait. Missing-value isolates will not be counted in association analysis towards this trait. Finished loading files into memory. ==== Performing statistics ==== -- Filtration options -- Individual (Naive): 0.05 Collapse genes: False Tallying genes and performing statistical analyses Gene-wise counting and Fisher's exact tests for trait: Tetracycline_resistance 0.00% 0.01% 0.02% 0.03% 0.04% 0.06% 0.07% 0.08% 0.09% 0.10% 0.11% 0.12% 0.13% 0.14% 0.16% 0.17% 0.18% 0.19% 0.20% 0.21% 0.22% 0.23% 0.24% 0.26% 0.27% 0.28% 0.29% 0.30% 0.31% 0.32% 0.33% 0.34% 0.36% 0.37% 0.38% 0.39% 0.40% 0.41% 0.42% 0.43% 0.44% 0.46% 0.47% 0.48% 0.49% 0.50% 0.51% 0.52% 0.53% 0.54% 0.56% 0.57% 0.58% 0.59% 0.60% 0.61% 0.62% 0.63% 0.64% 0.66% 0.67% 0.68% 0.69% 0.70% 0.71% 0.72% 0.73% 0.74% 0.76% 0.77% 0.78% 0.79% 0.80% 0.81% 0.82% 0.83% 0.84% 0.86% 0.87% 0.88% 0.89% 0.90% 0.91% 0.92% 0.93% 0.94% 0.96% 0.97% 0.98% 0.99% 1.00% 1.01% 1.02% 1.03% 1.04% 1.06% 1.07% 1.08% 1.09% 1.10% 1.11% 1.12% 1.13% 1.14% 1.16% 1.17% 1.18% 1.19% 1.20% 1.21% 1.22% 1.23% 1.24% 1.26% 1.27% 1.28% 1.29% 1.30% 1.31% 1.32% 1.33% 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94.69% 94.70% 94.71% 94.72% 94.73% 94.75% 94.76% 94.77% 94.78% 94.79% 94.80% 94.81% 94.82% 94.83% 94.85% 94.86% 94.87% 94.88% 94.89% 94.90% 94.91% 94.92% 94.93% 94.95% 94.96% 94.97% 94.98% 94.99% 95.00% 95.01% 95.02% 95.03% 95.04% 95.06% 95.07% 95.08% 95.09% 95.10% 95.11% 95.12% 95.13% 95.14% 95.16% 95.17% 95.18% 95.19% 95.20% 95.21% 95.22% 95.23% 95.24% 95.26% 95.27% 95.28% 95.29% 95.30% 95.31% 95.32% 95.33% 95.34% 95.36% 95.37% 95.38% 95.39% 95.40% 95.41% 95.42% 95.43% 95.44% 95.46% 95.47% 95.48% 95.49% 95.50% 95.51% 95.52% 95.53% 95.54% 95.56% 95.57% 95.58% 95.59% 95.60% 95.61% 95.62% 95.63% 95.64% 95.66% 95.67% 95.68% 95.69% 95.70% 95.71% 95.72% 95.73% 95.74% 95.76% 95.77% 95.78% 95.79% 95.80% 95.81% 95.82% 95.83% 95.84% 95.86% 95.87% 95.88% 95.89% 95.90% 95.91% 95.92% 95.93% 95.94% 95.96% 95.97% 95.98% 95.99% 96.00% 96.01% 96.02% 96.03% 96.04% 96.06% 96.07% 96.08% 96.09% 96.10% 96.11% 96.12% 96.13% 96.14% 96.16% 96.17% 96.18% 96.19% 96.20% 96.21% 96.22% 96.23% 96.24% 96.26% 96.27% 96.28% 96.29% 96.30% 96.31% 96.32% 96.33% 96.34% 96.36% 96.37% 96.38% 96.39% 96.40% 96.41% 96.42% 96.43% 96.44% 96.46% 96.47% 96.48% 96.49% 96.50% 96.51% 96.52% 96.53% 96.54% 96.56% 96.57% 96.58% 96.59% 96.60% 96.61% 96.62% 96.63% 96.64% 96.66% 96.67% 96.68% 96.69% 96.70% 96.71% 96.72% 96.73% 96.74% 96.76% 96.77% 96.78% 96.79% 96.80% 96.81% 96.82% 96.83% 96.84% 96.86% 96.87% 96.88% 96.89% 96.90% 96.91% 96.92% 96.93% 96.94% 96.96% 96.97% 96.98% 96.99% 97.00% 97.01% 97.02% 97.03% 97.04% 97.06% 97.07% 97.08% 97.09% 97.10% 97.11% 97.12% 97.13% 97.14% 97.16% 97.17% 97.18% 97.19% 97.20% 97.21% 97.22% 97.23% 97.24% 97.26% 97.27% 97.28% 97.29% 97.30% 97.31% 97.32% 97.33% 97.34% 97.36% 97.37% 97.38% 97.39% 97.40% 97.41% 97.42% 97.43% 97.44% 97.46% 97.47% 97.48% 97.49% 97.50% 97.51% 97.52% 97.53% 97.54% 97.56% 97.57% 97.58% 97.59% 97.60% 97.61% 97.62% 97.63% 97.64% 97.66% 97.67% 97.68% 97.69% 97.70% 97.71% 97.72% 97.73% 97.74% 97.76% 97.77% 97.78% 97.79% 97.80% 97.81% 97.82% 97.83% 97.84% 97.86% 97.87% 97.88% 97.89% 97.90% 97.91% 97.92% 97.93% 97.94% 97.96% 97.97% 97.98% 97.99% 98.00% 98.01% 98.02% 98.03% 98.04% 98.06% 98.07% 98.08% 98.09% 98.10% 98.11% 98.12% 98.13% 98.14% 98.16% 98.17% 98.18% 98.19% 98.20% 98.21% 98.22% 98.23% 98.24% 98.26% 98.27% 98.28% 98.29% 98.30% 98.31% 98.32% 98.33% 98.34% 98.36% 98.37% 98.38% 98.39% 98.40% 98.41% 98.42% 98.43% 98.44% 98.46% 98.47% 98.48% 98.49% 98.50% 98.51% 98.52% 98.53% 98.54% 98.56% 98.57% 98.58% 98.59% 98.60% 98.61% 98.62% 98.63% 98.64% 98.66% 98.67% 98.68% 98.69% 98.70% 98.71% 98.72% 98.73% 98.74% 98.76% 98.77% 98.78% 98.79% 98.80% 98.81% 98.82% 98.83% 98.84% 98.86% 98.87% 98.88% 98.89% 98.90% 98.91% 98.92% 98.93% 98.94% 98.96% 98.97% 98.98% 98.99% 99.00% 99.01% 99.02% 99.03% 99.04% 99.06% 99.07% 99.08% 99.09% 99.10% 99.11% 99.12% 99.13% 99.14% 99.16% 99.17% 99.18% 99.19% 99.20% 99.21% 99.22% 99.23% 99.24% 99.26% 99.27% 99.28% 99.29% 99.30% 99.31% 99.32% 99.33% 99.34% 99.36% 99.37% 99.38% 99.39% 99.40% 99.41% 99.42% 99.43% 99.44% 99.46% 99.47% 99.48% 99.49% 99.50% 99.51% 99.52% 99.53% 99.54% 99.56% 99.57% 99.58% 99.59% 99.60% 99.61% 99.62% 99.63% 99.64% 99.66% 99.67% 99.68% 99.69% 99.70% 99.71% 99.72% 99.73% 99.74% 99.76% 99.77% 99.78% 99.79% 99.80% 99.81% 99.82% 99.83% 99.84% 99.86% 99.87% 99.88% 99.89% 99.90% 99.91% 99.92% 99.93% 99.94% 99.96% 99.97% 99.98% 99.99% 100.00% Adding p-values adjusted for testing multiple hypotheses Gene-wise counting and Fisher's exact tests for trait: Bogus_trait 0.00% 0.01% 0.02% 0.03% 0.04% 0.06% 0.07% 0.08% 0.09% 0.10% 0.11% 0.12% 0.13% 0.14% 0.16% 0.17% 0.18% 0.19% 0.20% 0.21% 0.22% 0.23% 0.24% 0.26% 0.27% 0.28% 0.29% 0.30% 0.31% 0.32% 0.33% 0.34% 0.36% 0.37% 0.38% 0.39% 0.40% 0.41% 0.42% 0.43% 0.44% 0.46% 0.47% 0.48% 0.49% 0.50% 0.51% 0.52% 0.53% 0.54% 0.56% 0.57% 0.58% 0.59% 0.60% 0.61% 0.62% 0.63% 0.64% 0.66% 0.67% 0.68% 0.69% 0.70% 0.71% 0.72% 0.73% 0.74% 0.76% 0.77% 0.78% 0.79% 0.80% 0.81% 0.82% 0.83% 0.84% 0.86% 0.87% 0.88% 0.89% 0.90% 0.91% 0.92% 0.93% 0.94% 0.96% 0.97% 0.98% 0.99% 1.00% 1.01% 1.02% 1.03% 1.04% 1.06% 1.07% 1.08% 1.09% 1.10% 1.11% 1.12% 1.13% 1.14% 1.16% 1.17% 1.18% 1.19% 1.20% 1.21% 1.22% 1.23% 1.24% 1.26% 1.27% 1.28% 1.29% 1.30% 1.31% 1.32% 1.33% 1.34% 1.36% 1.37% 1.38% 1.39% 1.40% 1.41% 1.42% 1.43% 1.44% 1.46% 1.47% 1.48% 1.49% 1.50% 1.51% 1.52% 1.53% 1.54% 1.56% 1.57% 1.58% 1.59% 1.60% 1.61% 1.62% 1.63% 1.64% 1.66% 1.67% 1.68% 1.69% 1.70% 1.71% 1.72% 1.73% 1.74% 1.76% 1.77% 1.78% 1.79% 1.80% 1.81% 1.82% 1.83% 1.84% 1.86% 1.87% 1.88% 1.89% 1.90% 1.91% 1.92% 1.93% 1.94% 1.96% 1.97% 1.98% 1.99% 2.00% 2.01% 2.02% 2.03% 2.04% 2.06% 2.07% 2.08% 2.09% 2.10% 2.11% 2.12% 2.13% 2.14% 2.16% 2.17% 2.18% 2.19% 2.20% 2.21% 2.22% 2.23% 2.24% 2.26% 2.27% 2.28% 2.29% 2.30% 2.31% 2.32% 2.33% 2.34% 2.36% 2.37% 2.38% 2.39% 2.40% 2.41% 2.42% 2.43% 2.44% 2.46% 2.47% 2.48% 2.49% 2.50% 2.51% 2.52% 2.53% 2.54% 2.56% 2.57% 2.58% 2.59% 2.60% 2.61% 2.62% 2.63% 2.64% 2.66% 2.67% 2.68% 2.69% 2.70% 2.71% 2.72% 2.73% 2.74% 2.76% 2.77% 2.78% 2.79% 2.80% 2.81% 2.82% 2.83% 2.84% 2.86% 2.87% 2.88% 2.89% 2.90% 2.91% 2.92% 2.93% 2.94% 2.96% 2.97% 2.98% 2.99% 3.00% 3.01% 3.02% 3.03% 3.04% 3.06% 3.07% 3.08% 3.09% 3.10% 3.11% 3.12% 3.13% 3.14% 3.16% 3.17% 3.18% 3.19% 3.20% 3.21% 3.22% 3.23% 3.24% 3.26% 3.27% 3.28% 3.29% 3.30% 3.31% 3.32% 3.33% 3.34% 3.36% 3.37% 3.38% 3.39% 3.40% 3.41% 3.42% 3.43% 3.44% 3.46% 3.47% 3.48% 3.49% 3.50% 3.51% 3.52% 3.53% 3.54% 3.56% 3.57% 3.58% 3.59% 3.60% 3.61% 3.62% 3.63% 3.64% 3.66% 3.67% 3.68% 3.69% 3.70% 3.71% 3.72% 3.73% 3.74% 3.76% 3.77% 3.78% 3.79% 3.80% 3.81% 3.82% 3.83% 3.84% 3.86% 3.87% 3.88% 3.89% 3.90% 3.91% 3.92% 3.93% 3.94% 3.96% 3.97% 3.98% 3.99% 4.00% 4.01% 4.02% 4.03% 4.04% 4.06% 4.07% 4.08% 4.09% 4.10% 4.11% 4.12% 4.13% 4.14% 4.16% 4.17% 4.18% 4.19% 4.20% 4.21% 4.22% 4.23% 4.24% 4.26% 4.27% 4.28% 4.29% 4.30% 4.31% 4.32% 4.33% 4.34% 4.36% 4.37% 4.38% 4.39% 4.40% 4.41% 4.42% 4.43% 4.44% 4.46% 4.47% 4.48% 4.49% 4.50% 4.51% 4.52% 4.53% 4.54% 4.56% 4.57% 4.58% 4.59% 4.60% 4.61% 4.62% 4.63% 4.64% 4.66% 4.67% 4.68% 4.69% 4.70% 4.71% 4.72% 4.73% 4.74% 4.76% 4.77% 4.78% 4.79% 4.80% 4.81% 4.82% 4.83% 4.84% 4.86% 4.87% 4.88% 4.89% 4.90% 4.91% 4.92% 4.93% 4.94% 4.96% 4.97% 4.98% 4.99% 5.00% 5.01% 5.02% 5.03% 5.04% 5.05% 5.07% 5.08% 5.09% 5.10% 5.11% 5.12% 5.13% 5.14% 5.15% 5.17% 5.18% 5.19% 5.20% 5.21% 5.22% 5.23% 5.24% 5.25% 5.27% 5.28% 5.29% 5.30% 5.31% 5.32% 5.33% 5.34% 5.35% 5.37% 5.38% 5.39% 5.40% 5.41% 5.42% 5.43% 5.44% 5.45% 5.47% 5.48% 5.49% 5.50% 5.51% 5.52% 5.53% 5.54% 5.55% 5.57% 5.58% 5.59% 5.60% 5.61% 5.62% 5.63% 5.64% 5.65% 5.67% 5.68% 5.69% 5.70% 5.71% 5.72% 5.73% 5.74% 5.75% 5.77% 5.78% 5.79% 5.80% 5.81% 5.82% 5.83% 5.84% 5.85% 5.87% 5.88% 5.89% 5.90% 5.91% 5.92% 5.93% 5.94% 5.95% 5.97% 5.98% 5.99% 6.00% 6.01% 6.02% 6.03% 6.04% 6.05% 6.07% 6.08% 6.09% 6.10% 6.11% 6.12% 6.13% 6.14% 6.15% 6.17% 6.18% 6.19% 6.20% 6.21% 6.22% 6.23% 6.24% 6.25% 6.27% 6.28% 6.29% 6.30% 6.31% 6.32% 6.33% 6.34% 6.35% 6.37% 6.38% 6.39% 6.40% 6.41% 6.42% 6.43% 6.44% 6.45% 6.47% 6.48% 6.49% 6.50% 6.51% 6.52% 6.53% 6.54% 6.55% 6.57% 6.58% 6.59% 6.60% 6.61% 6.62% 6.63% 6.64% 6.65% 6.67% 6.68% 6.69% 6.70% 6.71% 6.72% 6.73% 6.74% 6.75% 6.77% 6.78% 6.79% 6.80% 6.81% 6.82% 6.83% 6.84% 6.85% 6.87% 6.88% 6.89% 6.90% 6.91% 6.92% 6.93% 6.94% 6.95% 6.97% 6.98% 6.99% 7.00% 7.01% 7.02% 7.03% 7.04% 7.05% 7.07% 7.08% 7.09% 7.10% 7.11% 7.12% 7.13% 7.14% 7.15% 7.17% 7.18% 7.19% 7.20% 7.21% 7.22% 7.23% 7.24% 7.25% 7.27% 7.28% 7.29% 7.30% 7.31% 7.32% 7.33% 7.34% 7.35% 7.37% 7.38% 7.39% 7.40% 7.41% 7.42% 7.43% 7.44% 7.45% 7.47% 7.48% 7.49% 7.50% 7.51% 7.52% 7.53% 7.54% 7.55% 7.57% 7.58% 7.59% 7.60% 7.61% 7.62% 7.63% 7.64% 7.65% 7.67% 7.68% 7.69% 7.70% 7.71% 7.72% 7.73% 7.74% 7.75% 7.77% 7.78% 7.79% 7.80% 7.81% 7.82% 7.83% 7.84% 7.85% 7.87% 7.88% 7.89% 7.90% 7.91% 7.92% 7.93% 7.94% 7.95% 7.97% 7.98% 7.99% 8.00% 8.01% 8.02% 8.03% 8.04% 8.05% 8.07% 8.08% 8.09% 8.10% 8.11% 8.12% 8.13% 8.14% 8.15% 8.17% 8.18% 8.19% 8.20% 8.21% 8.22% 8.23% 8.24% 8.25% 8.27% 8.28% 8.29% 8.30% 8.31% 8.32% 8.33% 8.34% 8.35% 8.37% 8.38% 8.39% 8.40% 8.41% 8.42% 8.43% 8.44% 8.45% 8.47% 8.48% 8.49% 8.50% 8.51% 8.52% 8.53% 8.54% 8.55% 8.57% 8.58% 8.59% 8.60% 8.61% 8.62% 8.63% 8.64% 8.65% 8.67% 8.68% 8.69% 8.70% 8.71% 8.72% 8.73% 8.74% 8.75% 8.77% 8.78% 8.79% 8.80% 8.81% 8.82% 8.83% 8.84% 8.85% 8.87% 8.88% 8.89% 8.90% 8.91% 8.92% 8.93% 8.94% 8.95% 8.97% 8.98% 8.99% 9.00% 9.01% 9.02% 9.03% 9.04% 9.05% 9.07% 9.08% 9.09% 9.10% 9.11% 9.12% 9.13% 9.14% 9.15% 9.17% 9.18% 9.19% 9.20% 9.21% 9.22% 9.23% 9.24% 9.25% 9.27% 9.28% 9.29% 9.30% 9.31% 9.32% 9.33% 9.34% 9.35% 9.37% 9.38% 9.39% 9.40% 9.41% 9.42% 9.43% 9.44% 9.45% 9.47% 9.48% 9.49% 9.50% 9.51% 9.52% 9.53% 9.54% 9.55% 9.57% 9.58% 9.59% 9.60% 9.61% 9.62% 9.63% 9.64% 9.65% 9.67% 9.68% 9.69% 9.70% 9.71% 9.72% 9.73% 9.74% 9.75% 9.77% 9.78% 9.79% 9.80% 9.81% 9.82% 9.83% 9.84% 9.85% 9.87% 9.88% 9.89% 9.90% 9.91% 9.92% 9.93% 9.94% 9.95% 9.97% 9.98% 9.99% 10.00% 10.01% 10.02% 10.03% 10.04% 10.05% 10.07% 10.08% 10.09% 10.10% 10.11% 10.12% 10.13% 10.14% 10.15% 10.17% 10.18% 10.19% 10.20% 10.21% 10.22% 10.23% 10.24% 10.25% 10.27% 10.28% 10.29% 10.30% 10.31% 10.32% 10.33% 10.34% 10.35% 10.37% 10.38% 10.39% 10.40% 10.41% 10.42% 10.43% 10.44% 10.45% 10.47% 10.48% 10.49% 10.50% 10.51% 10.52% 10.53% 10.54% 10.55% 10.57% 10.58% 10.59% 10.60% 10.61% 10.62% 10.63% 10.64% 10.65% 10.67% 10.68% 10.69% 10.70% 10.71% 10.72% 10.73% 10.74% 10.75% 10.77% 10.78% 10.79% 10.80% 10.81% 10.82% 10.83% 10.84% 10.85% 10.87% 10.88% 10.89% 10.90% 10.91% 10.92% 10.93% 10.94% 10.95% 10.97% 10.98% 10.99% 11.00% 11.01% 11.02% 11.03% 11.04% 11.05% 11.07% 11.08% 11.09% 11.10% 11.11% 11.12% 11.13% 11.14% 11.15% 11.17% 11.18% 11.19% 11.20% 11.21% 11.22% 11.23% 11.24% 11.25% 11.27% 11.28% 11.29% 11.30% 11.31% 11.32% 11.33% 11.34% 11.35% 11.37% 11.38% 11.39% 11.40% 11.41% 11.42% 11.43% 11.44% 11.45% 11.47% 11.48% 11.49% 11.50% 11.51% 11.52% 11.53% 11.54% 11.55% 11.57% 11.58% 11.59% 11.60% 11.61% 11.62% 11.63% 11.64% 11.65% 11.67% 11.68% 11.69% 11.70% 11.71% 11.72% 11.73% 11.74% 11.75% 11.77% 11.78% 11.79% 11.80% 11.81% 11.82% 11.83% 11.84% 11.85% 11.87% 11.88% 11.89% 11.90% 11.91% 11.92% 11.93% 11.94% 11.95% 11.97% 11.98% 11.99% 12.00% 12.01% 12.02% 12.03% 12.04% 12.05% 12.07% 12.08% 12.09% 12.10% 12.11% 12.12% 12.13% 12.14% 12.15% 12.17% 12.18% 12.19% 12.20% 12.21% 12.22% 12.23% 12.24% 12.25% 12.27% 12.28% 12.29% 12.30% 12.31% 12.32% 12.33% 12.34% 12.35% 12.37% 12.38% 12.39% 12.40% 12.41% 12.42% 12.43% 12.44% 12.45% 12.47% 12.48% 12.49% 12.50% 12.51% 12.52% 12.53% 12.54% 12.55% 12.57% 12.58% 12.59% 12.60% 12.61% 12.62% 12.63% 12.64% 12.65% 12.67% 12.68% 12.69% 12.70% 12.71% 12.72% 12.73% 12.74% 12.75% 12.77% 12.78% 12.79% 12.80% 12.81% 12.82% 12.83% 12.84% 12.85% 12.87% 12.88% 12.89% 12.90% 12.91% 12.92% 12.93% 12.94% 12.95% 12.97% 12.98% 12.99% 13.00% 13.01% 13.02% 13.03% 13.04% 13.05% 13.07% 13.08% 13.09% 13.10% 13.11% 13.12% 13.13% 13.14% 13.15% 13.17% 13.18% 13.19% 13.20% 13.21% 13.22% 13.23% 13.24% 13.25% 13.27% 13.28% 13.29% 13.30% 13.31% 13.32% 13.33% 13.34% 13.35% 13.37% 13.38% 13.39% 13.40% 13.41% 13.42% 13.43% 13.44% 13.45% 13.47% 13.48% 13.49% 13.50% 13.51% 13.52% 13.53% 13.54% 13.55% 13.57% 13.58% 13.59% 13.60% 13.61% 13.62% 13.63% 13.64% 13.65% 13.67% 13.68% 13.69% 13.70% 13.71% 13.72% 13.73% 13.74% 13.75% 13.77% 13.78% 13.79% 13.80% 13.81% 13.82% 13.83% 13.84% 13.85% 13.87% 13.88% 13.89% 13.90% 13.91% 13.92% 13.93% 13.94% 13.95% 13.97% 13.98% 13.99% 14.00% 14.01% 14.02% 14.03% 14.04% 14.05% 14.07% 14.08% 14.09% 14.10% 14.11% 14.12% 14.13% 14.14% 14.15% 14.17% 14.18% 14.19% 14.20% 14.21% 14.22% 14.23% 14.24% 14.25% 14.27% 14.28% 14.29% 14.30% 14.31% 14.32% 14.33% 14.34% 14.35% 14.37% 14.38% 14.39% 14.40% 14.41% 14.42% 14.43% 14.44% 14.45% 14.47% 14.48% 14.49% 14.50% 14.51% 14.52% 14.53% 14.54% 14.55% 14.57% 14.58% 14.59% 14.60% 14.61% 14.62% 14.63% 14.64% 14.65% 14.67% 14.68% 14.69% 14.70% 14.71% 14.72% 14.73% 14.74% 14.75% 14.77% 14.78% 14.79% 14.80% 14.81% 14.82% 14.83% 14.84% 14.85% 14.87% 14.88% 14.89% 14.90% 14.91% 14.92% 14.93% 14.94% 14.95% 14.97% 14.98% 14.99% 15.00% 15.01% 15.02% 15.03% 15.04% 15.05% 15.06% 15.08% 15.09% 15.10% 15.11% 15.12% 15.13% 15.14% 15.15% 15.16% 15.18% 15.19% 15.20% 15.21% 15.22% 15.23% 15.24% 15.25% 15.26% 15.28% 15.29% 15.30% 15.31% 15.32% 15.33% 15.34% 15.35% 15.36% 15.38% 15.39% 15.40% 15.41% 15.42% 15.43% 15.44% 15.45% 15.46% 15.48% 15.49% 15.50% 15.51% 15.52% 15.53% 15.54% 15.55% 15.56% 15.58% 15.59% 15.60% 15.61% 15.62% 15.63% 15.64% 15.65% 15.66% 15.68% 15.69% 15.70% 15.71% 15.72% 15.73% 15.74% 15.75% 15.76% 15.78% 15.79% 15.80% 15.81% 15.82% 15.83% 15.84% 15.85% 15.86% 15.88% 15.89% 15.90% 15.91% 15.92% 15.93% 15.94% 15.95% 15.96% 15.98% 15.99% 16.00% 16.01% 16.02% 16.03% 16.04% 16.05% 16.06% 16.08% 16.09% 16.10% 16.11% 16.12% 16.13% 16.14% 16.15% 16.16% 16.18% 16.19% 16.20% 16.21% 16.22% 16.23% 16.24% 16.25% 16.26% 16.28% 16.29% 16.30% 16.31% 16.32% 16.33% 16.34% 16.35% 16.36% 16.38% 16.39% 16.40% 16.41% 16.42% 16.43% 16.44% 16.45% 16.46% 16.48% 16.49% 16.50% 16.51% 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89.60% 89.61% 89.62% 89.63% 89.65% 89.66% 89.67% 89.68% 89.69% 89.70% 89.71% 89.72% 89.73% 89.75% 89.76% 89.77% 89.78% 89.79% 89.80% 89.81% 89.82% 89.83% 89.85% 89.86% 89.87% 89.88% 89.89% 89.90% 89.91% 89.92% 89.93% 89.95% 89.96% 89.97% 89.98% 89.99% 90.00% 90.01% 90.02% 90.03% 90.05% 90.06% 90.07% 90.08% 90.09% 90.10% 90.11% 90.12% 90.13% 90.15% 90.16% 90.17% 90.18% 90.19% 90.20% 90.21% 90.22% 90.23% 90.25% 90.26% 90.27% 90.28% 90.29% 90.30% 90.31% 90.32% 90.33% 90.35% 90.36% 90.37% 90.38% 90.39% 90.40% 90.41% 90.42% 90.43% 90.45% 90.46% 90.47% 90.48% 90.49% 90.50% 90.51% 90.52% 90.53% 90.55% 90.56% 90.57% 90.58% 90.59% 90.60% 90.61% 90.62% 90.63% 90.65% 90.66% 90.67% 90.68% 90.69% 90.70% 90.71% 90.72% 90.73% 90.75% 90.76% 90.77% 90.78% 90.79% 90.80% 90.81% 90.82% 90.83% 90.85% 90.86% 90.87% 90.88% 90.89% 90.90% 90.91% 90.92% 90.93% 90.95% 90.96% 90.97% 90.98% 90.99% 91.00% 91.01% 91.02% 91.03% 91.05% 91.06% 91.07% 91.08% 91.09% 91.10% 91.11% 91.12% 91.13% 91.15% 91.16% 91.17% 91.18% 91.19% 91.20% 91.21% 91.22% 91.23% 91.25% 91.26% 91.27% 91.28% 91.29% 91.30% 91.31% 91.32% 91.33% 91.35% 91.36% 91.37% 91.38% 91.39% 91.40% 91.41% 91.42% 91.43% 91.45% 91.46% 91.47% 91.48% 91.49% 91.50% 91.51% 91.52% 91.53% 91.55% 91.56% 91.57% 91.58% 91.59% 91.60% 91.61% 91.62% 91.63% 91.65% 91.66% 91.67% 91.68% 91.69% 91.70% 91.71% 91.72% 91.73% 91.75% 91.76% 91.77% 91.78% 91.79% 91.80% 91.81% 91.82% 91.83% 91.85% 91.86% 91.87% 91.88% 91.89% 91.90% 91.91% 91.92% 91.93% 91.95% 91.96% 91.97% 91.98% 91.99% 92.00% 92.01% 92.02% 92.03% 92.05% 92.06% 92.07% 92.08% 92.09% 92.10% 92.11% 92.12% 92.13% 92.15% 92.16% 92.17% 92.18% 92.19% 92.20% 92.21% 92.22% 92.23% 92.25% 92.26% 92.27% 92.28% 92.29% 92.30% 92.31% 92.32% 92.33% 92.35% 92.36% 92.37% 92.38% 92.39% 92.40% 92.41% 92.42% 92.43% 92.45% 92.46% 92.47% 92.48% 92.49% 92.50% 92.51% 92.52% 92.53% 92.55% 92.56% 92.57% 92.58% 92.59% 92.60% 92.61% 92.62% 92.63% 92.65% 92.66% 92.67% 92.68% 92.69% 92.70% 92.71% 92.72% 92.73% 92.75% 92.76% 92.77% 92.78% 92.79% 92.80% 92.81% 92.82% 92.83% 92.85% 92.86% 92.87% 92.88% 92.89% 92.90% 92.91% 92.92% 92.93% 92.95% 92.96% 92.97% 92.98% 92.99% 93.00% 93.01% 93.02% 93.03% 93.05% 93.06% 93.07% 93.08% 93.09% 93.10% 93.11% 93.12% 93.13% 93.15% 93.16% 93.17% 93.18% 93.19% 93.20% 93.21% 93.22% 93.23% 93.25% 93.26% 93.27% 93.28% 93.29% 93.30% 93.31% 93.32% 93.33% 93.35% 93.36% 93.37% 93.38% 93.39% 93.40% 93.41% 93.42% 93.43% 93.45% 93.46% 93.47% 93.48% 93.49% 93.50% 93.51% 93.52% 93.53% 93.55% 93.56% 93.57% 93.58% 93.59% 93.60% 93.61% 93.62% 93.63% 93.65% 93.66% 93.67% 93.68% 93.69% 93.70% 93.71% 93.72% 93.73% 93.75% 93.76% 93.77% 93.78% 93.79% 93.80% 93.81% 93.82% 93.83% 93.85% 93.86% 93.87% 93.88% 93.89% 93.90% 93.91% 93.92% 93.93% 93.95% 93.96% 93.97% 93.98% 93.99% 94.00% 94.01% 94.02% 94.03% 94.05% 94.06% 94.07% 94.08% 94.09% 94.10% 94.11% 94.12% 94.13% 94.15% 94.16% 94.17% 94.18% 94.19% 94.20% 94.21% 94.22% 94.23% 94.25% 94.26% 94.27% 94.28% 94.29% 94.30% 94.31% 94.32% 94.33% 94.35% 94.36% 94.37% 94.38% 94.39% 94.40% 94.41% 94.42% 94.43% 94.45% 94.46% 94.47% 94.48% 94.49% 94.50% 94.51% 94.52% 94.53% 94.55% 94.56% 94.57% 94.58% 94.59% 94.60% 94.61% 94.62% 94.63% 94.65% 94.66% 94.67% 94.68% 94.69% 94.70% 94.71% 94.72% 94.73% 94.75% 94.76% 94.77% 94.78% 94.79% 94.80% 94.81% 94.82% 94.83% 94.85% 94.86% 94.87% 94.88% 94.89% 94.90% 94.91% 94.92% 94.93% 94.95% 94.96% 94.97% 94.98% 94.99% 95.00% 95.01% 95.02% 95.03% 95.04% 95.06% 95.07% 95.08% 95.09% 95.10% 95.11% 95.12% 95.13% 95.14% 95.16% 95.17% 95.18% 95.19% 95.20% 95.21% 95.22% 95.23% 95.24% 95.26% 95.27% 95.28% 95.29% 95.30% 95.31% 95.32% 95.33% 95.34% 95.36% 95.37% 95.38% 95.39% 95.40% 95.41% 95.42% 95.43% 95.44% 95.46% 95.47% 95.48% 95.49% 95.50% 95.51% 95.52% 95.53% 95.54% 95.56% 95.57% 95.58% 95.59% 95.60% 95.61% 95.62% 95.63% 95.64% 95.66% 95.67% 95.68% 95.69% 95.70% 95.71% 95.72% 95.73% 95.74% 95.76% 95.77% 95.78% 95.79% 95.80% 95.81% 95.82% 95.83% 95.84% 95.86% 95.87% 95.88% 95.89% 95.90% 95.91% 95.92% 95.93% 95.94% 95.96% 95.97% 95.98% 95.99% 96.00% 96.01% 96.02% 96.03% 96.04% 96.06% 96.07% 96.08% 96.09% 96.10% 96.11% 96.12% 96.13% 96.14% 96.16% 96.17% 96.18% 96.19% 96.20% 96.21% 96.22% 96.23% 96.24% 96.26% 96.27% 96.28% 96.29% 96.30% 96.31% 96.32% 96.33% 96.34% 96.36% 96.37% 96.38% 96.39% 96.40% 96.41% 96.42% 96.43% 96.44% 96.46% 96.47% 96.48% 96.49% 96.50% 96.51% 96.52% 96.53% 96.54% 96.56% 96.57% 96.58% 96.59% 96.60% 96.61% 96.62% 96.63% 96.64% 96.66% 96.67% 96.68% 96.69% 96.70% 96.71% 96.72% 96.73% 96.74% 96.76% 96.77% 96.78% 96.79% 96.80% 96.81% 96.82% 96.83% 96.84% 96.86% 96.87% 96.88% 96.89% 96.90% 96.91% 96.92% 96.93% 96.94% 96.96% 96.97% 96.98% 96.99% 97.00% 97.01% 97.02% 97.03% 97.04% 97.06% 97.07% 97.08% 97.09% 97.10% 97.11% 97.12% 97.13% 97.14% 97.16% 97.17% 97.18% 97.19% 97.20% 97.21% 97.22% 97.23% 97.24% 97.26% 97.27% 97.28% 97.29% 97.30% 97.31% 97.32% 97.33% 97.34% 97.36% 97.37% 97.38% 97.39% 97.40% 97.41% 97.42% 97.43% 97.44% 97.46% 97.47% 97.48% 97.49% 97.50% 97.51% 97.52% 97.53% 97.54% 97.56% 97.57% 97.58% 97.59% 97.60% 97.61% 97.62% 97.63% 97.64% 97.66% 97.67% 97.68% 97.69% 97.70% 97.71% 97.72% 97.73% 97.74% 97.76% 97.77% 97.78% 97.79% 97.80% 97.81% 97.82% 97.83% 97.84% 97.86% 97.87% 97.88% 97.89% 97.90% 97.91% 97.92% 97.93% 97.94% 97.96% 97.97% 97.98% 97.99% 98.00% 98.01% 98.02% 98.03% 98.04% 98.06% 98.07% 98.08% 98.09% 98.10% 98.11% 98.12% 98.13% 98.14% 98.16% 98.17% 98.18% 98.19% 98.20% 98.21% 98.22% 98.23% 98.24% 98.26% 98.27% 98.28% 98.29% 98.30% 98.31% 98.32% 98.33% 98.34% 98.36% 98.37% 98.38% 98.39% 98.40% 98.41% 98.42% 98.43% 98.44% 98.46% 98.47% 98.48% 98.49% 98.50% 98.51% 98.52% 98.53% 98.54% 98.56% 98.57% 98.58% 98.59% 98.60% 98.61% 98.62% 98.63% 98.64% 98.66% 98.67% 98.68% 98.69% 98.70% 98.71% 98.72% 98.73% 98.74% 98.76% 98.77% 98.78% 98.79% 98.80% 98.81% 98.82% 98.83% 98.84% 98.86% 98.87% 98.88% 98.89% 98.90% 98.91% 98.92% 98.93% 98.94% 98.96% 98.97% 98.98% 98.99% 99.00% 99.01% 99.02% 99.03% 99.04% 99.06% 99.07% 99.08% 99.09% 99.10% 99.11% 99.12% 99.13% 99.14% 99.16% 99.17% 99.18% 99.19% 99.20% 99.21% 99.22% 99.23% 99.24% 99.26% 99.27% 99.28% 99.29% 99.30% 99.31% 99.32% 99.33% 99.34% 99.36% 99.37% 99.38% 99.39% 99.40% 99.41% 99.42% 99.43% 99.44% 99.46% 99.47% 99.48% 99.49% 99.50% 99.51% 99.52% 99.53% 99.54% 99.56% 99.57% 99.58% 99.59% 99.60% 99.61% 99.62% 99.63% 99.64% 99.66% 99.67% 99.68% 99.69% 99.70% 99.71% 99.72% 99.73% 99.74% 99.76% 99.77% 99.78% 99.79% 99.80% 99.81% 99.82% 99.83% 99.84% 99.86% 99.87% 99.88% 99.89% 99.90% 99.91% 99.92% 99.93% 99.94% 99.96% 99.97% 99.98% 99.99% 100.00% Adding p-values adjusted for testing multiple hypotheses Storing results: Tetracycline_resistance Calculating max number of contrasting pairs for each nominally significant gene 0.02% 0.03% 0.05% 0.07% 0.08% 0.10% 0.12% 0.14% 0.15% 0.17% 0.19% 0.20% 0.22% 0.24% 0.25% 0.27% 0.29% 0.31% 0.32% 0.34% 0.36% 0.37% 0.39% 0.41% 0.42% 0.44% 0.46% 0.48% 0.49% 0.51% 0.53% 0.54% 0.56% 0.58% 0.59% 0.61% 0.63% 0.64% 0.66% 0.68% 0.70% 0.71% 0.73% 0.75% 0.76% 0.78% 0.80% 0.81% 0.83% 0.85% 0.87% 0.88% 0.90% 0.92% 0.93% 0.95% 0.97% 0.98% 1.00% 1.02% 1.04% 1.05% 1.07% 1.09% 1.10% 1.12% 1.14% 1.15% 1.17% 1.19% 1.21% 1.22% 1.24% 1.26% 1.27% 1.29% 1.31% 1.32% 1.34% 1.36% 1.37% 1.39% 1.41% 1.43% 1.44% 1.46% 1.48% 1.49% 1.51% 1.53% 1.54% 1.56% 1.58% 1.60% 1.61% 1.63% 1.65% 1.66% 1.68% 1.70% 1.71% 1.73% 1.75% 1.77% 1.78% 1.80% 1.82% 1.83% 1.85% 1.87% 1.88% 1.90% 1.92% 1.93% 1.95% 1.97% 1.99% 2.00% 2.02% 2.04% 2.05% 2.07% 2.09% 2.10% 2.12% 2.14% 2.16% 2.17% 2.19% 2.21% 2.22% 2.24% 2.26% 2.27% 2.29% 2.31% 2.33% 2.34% 2.36% 2.38% 2.39% 2.41% 2.43% 2.44% 2.46% 2.48% 2.49% 2.51% 2.53% 2.55% 2.56% 2.58% 2.60% 2.61% 2.63% 2.65% 2.66% 2.68% 2.70% 2.72% 2.73% 2.75% 2.77% 2.78% 2.80% 2.82% 2.83% 2.85% 2.87% 2.89% 2.90% 2.92% 2.94% 2.95% 2.97% 2.99% 3.00% 3.02% 3.04% 3.05% 3.07% 3.09% 3.11% 3.12% 3.14% 3.16% 3.17% 3.19% 3.21% 3.22% 3.24% 3.26% 3.28% 3.29% 3.31% 3.33% 3.34% 3.36% 3.38% 3.39% 3.41% 3.43% 3.45% 3.46% 3.48% 3.50% 3.51% 3.53% 3.55% 3.56% 3.58% 3.60% 3.62% 3.63% 3.65% 3.67% 3.68% 3.70% 3.72% 3.73% 3.75% 3.77% 3.78% 3.80% 3.82% 3.84% 3.85% 3.87% 3.89% 3.90% 3.92% 3.94% 3.95% 3.97% 3.99% 4.01% 4.02% 4.04% 4.06% 4.07% 4.09% 4.11% 4.12% 4.14% 4.16% 4.18% 4.19% 4.21% 4.23% 4.24% 4.26% 4.28% 4.29% 4.31% 4.33% 4.34% 4.36% 4.38% 4.40% 4.41% 4.43% 4.45% 4.46% 4.48% 4.50% 4.51% 4.53% 4.55% 4.57% 4.58% 4.60% 100.00% Storing results to file Storing results: Bogus_trait Calculating max number of contrasting pairs for each nominally significant gene 0.02% 0.03% 0.05% 0.07% 0.08% 0.10% 0.12% 0.14% 0.15% 0.17% 0.19% 0.20% 0.22% 0.24% 0.25% 0.27% 0.29% 0.31% 0.32% 0.34% 0.36% 0.37% 0.39% 0.41% 0.42% 0.44% 0.46% 0.48% 0.49% 0.51% 0.53% 0.54% 0.56% 0.58% 0.59% 0.61% 0.63% 0.65% 0.66% 0.68% 0.70% 0.71% 0.73% 0.75% 0.76% 0.78% 0.80% 0.82% 0.83% 0.85% 0.87% 0.88% 0.90% 0.92% 0.93% 0.95% 0.97% 0.98% 1.00% 1.02% 1.04% 1.05% 1.07% 1.09% 1.10% 1.12% 1.14% 1.15% 1.17% 1.19% 1.21% 1.22% 1.24% 1.26% 1.27% 1.29% 1.31% 1.32% 1.34% 1.36% 1.38% 1.39% 1.41% 1.43% 1.44% 1.46% 1.48% 1.49% 1.51% 1.53% 1.55% 1.56% 1.58% 1.60% 1.61% 1.63% 1.65% 1.66% 1.68% 1.70% 1.72% 1.73% 1.75% 1.77% 1.78% 1.80% 1.82% 1.83% 1.85% 1.87% 1.88% 1.90% 1.92% 1.94% 1.95% 1.97% 1.99% 2.00% 2.02% 2.04% 2.05% 2.07% 2.09% 2.11% 2.12% 2.14% 2.16% 2.17% 100.00% Storing results to file ==== Finished ==== Checked a total of 9001 genes for associations to 2 trait(s). Total time used: 9 seconds. Scoary finished successfully, but with WARNINGS. Please check your log file. Warning. Since 1.5.0 scoary.py is deprecated. Install Scoary using 'pip install scoary instead, and run using scoary ==== Scoary started ==== Command: scoary.py -g scoary/exampledata/Gene_presence_absence.csv -t scoary/exampledata/Tetracycline_resistance.csv -p 0.01 1E-5 -c B EPW --collapse -m 50 -u -n scoary/exampledata/ExampleTree.nwk --threads 4 -o Test4 --no-time Reading gene presence absence file Reading custom tree file Reading traits file WARNING: Some isolates have missing values for trait Bogus_trait. Missing-value isolates will not be counted in association analysis towards this trait. Finished loading files into memory. ==== Performing statistics ==== -- Filtration options -- Bonferroni: 0.01 Pairwise comparison (Entire range): 1e-05 Collapse genes: True Tallying genes and performing statistical analyses Gene-wise counting and Fisher's exact tests for trait: Tetracycline_resistance 0.00% 0.01% 0.02% 0.03% 0.04% 0.06% 0.07% 0.08% 0.09% 0.10% 0.11% 0.12% 0.13% 0.14% 0.16% 0.17% 0.18% 0.19% 0.20% 0.21% 0.22% 0.23% 0.24% 0.26% 0.27% 0.28% 0.29% 0.30% 0.31% 0.32% 0.33% 0.34% 0.36% 0.37% 0.38% 0.39% 0.40% 0.41% 0.42% 0.43% 0.44% 0.46% 0.47% 0.48% 0.49% 0.50% 0.51% 0.52% 0.53% 0.54% 0.56% 0.57% 0.58% 0.59% 0.60% 0.61% 0.62% 0.63% 0.64% 0.66% 0.67% 0.68% 0.69% 0.70% 0.71% 0.72% 0.73% 0.74% 0.76% 0.77% 0.78% 0.79% 0.80% 0.81% 0.82% 0.83% 0.84% 0.86% 0.87% 0.88% 0.89% 0.90% 0.91% 0.92% 0.93% 0.94% 0.96% 0.97% 0.98% 0.99% 1.00% 1.01% 1.02% 1.03% 1.04% 1.06% 1.07% 1.08% 1.09% 1.10% 1.11% 1.12% 1.13% 1.14% 1.16% 1.17% 1.18% 1.19% 1.20% 1.21% 1.22% 1.23% 1.24% 1.26% 1.27% 1.28% 1.29% 1.30% 1.31% 1.32% 1.33% 1.34% 1.36% 1.37% 1.38% 1.39% 1.40% 1.41% 1.42% 1.43% 1.44% 1.46% 1.47% 1.48% 1.49% 1.50% 1.51% 1.52% 1.53% 1.54% 1.56% 1.57% 1.58% 1.59% 1.60% 1.61% 1.62% 1.63% 1.64% 1.66% 1.67% 1.68% 1.69% 1.70% 1.71% 1.72% 1.73% 1.74% 1.76% 1.77% 1.78% 1.79% 1.80% 1.81% 1.82% 1.83% 1.84% 1.86% 1.87% 1.88% 1.89% 1.90% 1.91% 1.92% 1.93% 1.94% 1.96% 1.97% 1.98% 1.99% 2.00% 2.01% 2.02% 2.03% 2.04% 2.06% 2.07% 2.08% 2.09% 2.10% 2.11% 2.12% 2.13% 2.14% 2.16% 2.17% 2.18% 2.19% 2.20% 2.21% 2.22% 2.23% 2.24% 2.26% 2.27% 2.28% 2.29% 2.30% 2.31% 2.32% 2.33% 2.34% 2.36% 2.37% 2.38% 2.39% 2.40% 2.41% 2.42% 2.43% 2.44% 2.46% 2.47% 2.48% 2.49% 2.50% 2.51% 2.52% 2.53% 2.54% 2.56% 2.57% 2.58% 2.59% 2.60% 2.61% 2.62% 2.63% 2.64% 2.66% 2.67% 2.68% 2.69% 2.70% 2.71% 2.72% 2.73% 2.74% 2.76% 2.77% 2.78% 2.79% 2.80% 2.81% 2.82% 2.83% 2.84% 2.86% 2.87% 2.88% 2.89% 2.90% 2.91% 2.92% 2.93% 2.94% 2.96% 2.97% 2.98% 2.99% 3.00% 3.01% 3.02% 3.03% 3.04% 3.06% 3.07% 3.08% 3.09% 3.10% 3.11% 3.12% 3.13% 3.14% 3.16% 3.17% 3.18% 3.19% 3.20% 3.21% 3.22% 3.23% 3.24% 3.26% 3.27% 3.28% 3.29% 3.30% 3.31% 3.32% 3.33% 3.34% 3.36% 3.37% 3.38% 3.39% 3.40% 3.41% 3.42% 3.43% 3.44% 3.46% 3.47% 3.48% 3.49% 3.50% 3.51% 3.52% 3.53% 3.54% 3.56% 3.57% 3.58% 3.59% 3.60% 3.61% 3.62% 3.63% 3.64% 3.66% 3.67% 3.68% 3.69% 3.70% 3.71% 3.72% 3.73% 3.74% 3.76% 3.77% 3.78% 3.79% 3.80% 3.81% 3.82% 3.83% 3.84% 3.86% 3.87% 3.88% 3.89% 3.90% 3.91% 3.92% 3.93% 3.94% 3.96% 3.97% 3.98% 3.99% 4.00% 4.01% 4.02% 4.03% 4.04% 4.06% 4.07% 4.08% 4.09% 4.10% 4.11% 4.12% 4.13% 4.14% 4.16% 4.17% 4.18% 4.19% 4.20% 4.21% 4.22% 4.23% 4.24% 4.26% 4.27% 4.28% 4.29% 4.30% 4.31% 4.32% 4.33% 4.34% 4.36% 4.37% 4.38% 4.39% 4.40% 4.41% 4.42% 4.43% 4.44% 4.46% 4.47% 4.48% 4.49% 4.50% 4.51% 4.52% 4.53% 4.54% 4.56% 4.57% 4.58% 4.59% 4.60% 4.61% 4.62% 4.63% 4.64% 4.66% 4.67% 4.68% 4.69% 4.70% 4.71% 4.72% 4.73% 4.74% 4.76% 4.77% 4.78% 4.79% 4.80% 4.81% 4.82% 4.83% 4.84% 4.86% 4.87% 4.88% 4.89% 4.90% 4.91% 4.92% 4.93% 4.94% 4.96% 4.97% 4.98% 4.99% 5.00% 5.01% 5.02% 5.03% 5.04% 5.05% 5.07% 5.08% 5.09% 5.10% 5.11% 5.12% 5.13% 5.14% 5.15% 5.17% 5.18% 5.19% 5.20% 5.21% 5.22% 5.23% 5.24% 5.25% 5.27% 5.28% 5.29% 5.30% 5.31% 5.32% 5.33% 5.34% 5.35% 5.37% 5.38% 5.39% 5.40% 5.41% 5.42% 5.43% 5.44% 5.45% 5.47% 5.48% 5.49% 5.50% 5.51% 5.52% 5.53% 5.54% 5.55% 5.57% 5.58% 5.59% 5.60% 5.61% 5.62% 5.63% 5.64% 5.65% 5.67% 5.68% 5.69% 5.70% 5.71% 5.72% 5.73% 5.74% 5.75% 5.77% 5.78% 5.79% 5.80% 5.81% 5.82% 5.83% 5.84% 5.85% 5.87% 5.88% 5.89% 5.90% 5.91% 5.92% 5.93% 5.94% 5.95% 5.97% 5.98% 5.99% 6.00% 6.01% 6.02% 6.03% 6.04% 6.05% 6.07% 6.08% 6.09% 6.10% 6.11% 6.12% 6.13% 6.14% 6.15% 6.17% 6.18% 6.19% 6.20% 6.21% 6.22% 6.23% 6.24% 6.25% 6.27% 6.28% 6.29% 6.30% 6.31% 6.32% 6.33% 6.34% 6.35% 6.37% 6.38% 6.39% 6.40% 6.41% 6.42% 6.43% 6.44% 6.45% 6.47% 6.48% 6.49% 6.50% 6.51% 6.52% 6.53% 6.54% 6.55% 6.57% 6.58% 6.59% 6.60% 6.61% 6.62% 6.63% 6.64% 6.65% 6.67% 6.68% 6.69% 6.70% 6.71% 6.72% 6.73% 6.74% 6.75% 6.77% 6.78% 6.79% 6.80% 6.81% 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42.22% 42.23% 42.24% 42.25% 42.26% 42.27% 42.28% 42.30% 42.31% 42.32% 42.33% 42.34% 42.35% 42.36% 42.37% 42.38% 42.40% 42.41% 42.42% 42.43% 42.44% 42.45% 42.46% 42.47% 42.48% 42.50% 42.51% 42.52% 42.53% 42.54% 42.55% 42.56% 42.57% 42.58% 42.60% 42.61% 42.62% 42.63% 42.64% 42.65% 42.66% 42.67% 42.68% 42.70% 42.71% 42.72% 42.73% 42.74% 42.75% 42.76% 42.77% 42.78% 42.80% 42.81% 42.82% 42.83% 42.84% 42.85% 42.86% 42.87% 42.88% 42.90% 42.91% 42.92% 42.93% 42.94% 42.95% 42.96% 42.97% 42.98% 43.00% 43.01% 43.02% 43.03% 43.04% 43.05% 43.06% 43.07% 43.08% 43.10% 43.11% 43.12% 43.13% 43.14% 43.15% 43.16% 43.17% 43.18% 43.20% 43.21% 43.22% 43.23% 43.24% 43.25% 43.26% 43.27% 43.28% 43.30% 43.31% 43.32% 43.33% 43.34% 43.35% 43.36% 43.37% 43.38% 43.40% 43.41% 43.42% 43.43% 43.44% 43.45% 43.46% 43.47% 43.48% 43.50% 43.51% 43.52% 43.53% 43.54% 43.55% 43.56% 43.57% 43.58% 43.60% 43.61% 43.62% 43.63% 43.64% 43.65% 43.66% 43.67% 43.68% 43.70% 43.71% 43.72% 43.73% 43.74% 43.75% 43.76% 43.77% 43.78% 43.80% 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78.76% 78.77% 78.78% 78.79% 78.80% 78.81% 78.82% 78.84% 78.85% 78.86% 78.87% 78.88% 78.89% 78.90% 78.91% 78.92% 78.94% 78.95% 78.96% 78.97% 78.98% 78.99% 79.00% 79.01% 79.02% 79.04% 79.05% 79.06% 79.07% 79.08% 79.09% 79.10% 79.11% 79.12% 79.14% 79.15% 79.16% 79.17% 79.18% 79.19% 79.20% 79.21% 79.22% 79.24% 79.25% 79.26% 79.27% 79.28% 79.29% 79.30% 79.31% 79.32% 79.34% 79.35% 79.36% 79.37% 79.38% 79.39% 79.40% 79.41% 79.42% 79.44% 79.45% 79.46% 79.47% 79.48% 79.49% 79.50% 79.51% 79.52% 79.54% 79.55% 79.56% 79.57% 79.58% 79.59% 79.60% 79.61% 79.62% 79.64% 79.65% 79.66% 79.67% 79.68% 79.69% 79.70% 79.71% 79.72% 79.74% 79.75% 79.76% 79.77% 79.78% 79.79% 79.80% 79.81% 79.82% 79.84% 79.85% 79.86% 79.87% 79.88% 79.89% 79.90% 79.91% 79.92% 79.94% 79.95% 79.96% 79.97% 79.98% 79.99% 80.00% 80.01% 80.02% 80.04% 80.05% 80.06% 80.07% 80.08% 80.09% 80.10% 80.11% 80.12% 80.14% 80.15% 80.16% 80.17% 80.18% 80.19% 80.20% 80.21% 80.22% 80.24% 80.25% 80.26% 80.27% 80.28% 80.29% 80.30% 80.31% 80.32% 80.34% 80.35% 80.36% 80.37% 80.38% 80.39% 80.40% 80.41% 80.42% 80.44% 80.45% 80.46% 80.47% 80.48% 80.49% 80.50% 80.51% 80.52% 80.54% 80.55% 80.56% 80.57% 80.58% 80.59% 80.60% 80.61% 80.62% 80.64% 80.65% 80.66% 80.67% 80.68% 80.69% 80.70% 80.71% 80.72% 80.74% 80.75% 80.76% 80.77% 80.78% 80.79% 80.80% 80.81% 80.82% 80.84% 80.85% 80.86% 80.87% 80.88% 80.89% 80.90% 80.91% 80.92% 80.94% 80.95% 80.96% 80.97% 80.98% 80.99% 81.00% 81.01% 81.02% 81.04% 81.05% 81.06% 81.07% 81.08% 81.09% 81.10% 81.11% 81.12% 81.14% 81.15% 81.16% 81.17% 81.18% 81.19% 81.20% 81.21% 81.22% 81.24% 81.25% 81.26% 81.27% 81.28% 81.29% 81.30% 81.31% 81.32% 81.34% 81.35% 81.36% 81.37% 81.38% 81.39% 81.40% 81.41% 81.42% 81.44% 81.45% 81.46% 81.47% 81.48% 81.49% 81.50% 81.51% 81.52% 81.54% 81.55% 81.56% 81.57% 81.58% 81.59% 81.60% 81.61% 81.62% 81.64% 81.65% 81.66% 81.67% 81.68% 81.69% 81.70% 81.71% 81.72% 81.74% 81.75% 81.76% 81.77% 81.78% 81.79% 81.80% 81.81% 81.82% 81.84% 81.85% 81.86% 81.87% 81.88% 81.89% 81.90% 81.91% 81.92% 81.94% 81.95% 81.96% 81.97% 81.98% 81.99% 82.00% 82.01% 82.02% 82.04% 82.05% 82.06% 82.07% 82.08% 82.09% 82.10% 82.11% 82.12% 82.14% 82.15% 82.16% 82.17% 82.18% 82.19% 82.20% 82.21% 82.22% 82.24% 82.25% 82.26% 82.27% 82.28% 82.29% 82.30% 82.31% 82.32% 82.34% 82.35% 82.36% 82.37% 82.38% 82.39% 82.40% 82.41% 82.42% 82.44% 82.45% 82.46% 82.47% 82.48% 82.49% 82.50% 82.51% 82.52% 82.54% 82.55% 82.56% 82.57% 82.58% 82.59% 82.60% 82.61% 82.62% 82.64% 82.65% 82.66% 82.67% 82.68% 82.69% 82.70% 82.71% 82.72% 82.74% 82.75% 82.76% 82.77% 82.78% 82.79% 82.80% 82.81% 82.82% 82.84% 82.85% 82.86% 82.87% 82.88% 82.89% 82.90% 82.91% 82.92% 82.94% 82.95% 82.96% 82.97% 82.98% 82.99% 83.00% 83.01% 83.02% 83.04% 83.05% 83.06% 83.07% 83.08% 83.09% 83.10% 83.11% 83.12% 83.14% 83.15% 83.16% 83.17% 83.18% 83.19% 83.20% 83.21% 83.22% 83.24% 83.25% 83.26% 83.27% 83.28% 83.29% 83.30% 83.31% 83.32% 83.34% 83.35% 83.36% 83.37% 83.38% 83.39% 83.40% 83.41% 83.42% 83.44% 83.45% 83.46% 83.47% 83.48% 83.49% 83.50% 83.51% 83.52% 83.54% 83.55% 83.56% 83.57% 83.58% 83.59% 83.60% 83.61% 83.62% 83.64% 83.65% 83.66% 83.67% 83.68% 83.69% 83.70% 83.71% 83.72% 83.74% 83.75% 83.76% 83.77% 83.78% 83.79% 83.80% 83.81% 83.82% 83.84% 83.85% 83.86% 83.87% 83.88% 83.89% 83.90% 83.91% 83.92% 83.94% 83.95% 83.96% 83.97% 83.98% 83.99% 84.00% 84.01% 84.02% 84.04% 84.05% 84.06% 84.07% 84.08% 84.09% 84.10% 84.11% 84.12% 84.14% 84.15% 84.16% 84.17% 84.18% 84.19% 84.20% 84.21% 84.22% 84.24% 84.25% 84.26% 84.27% 84.28% 84.29% 84.30% 84.31% 84.32% 84.34% 84.35% 84.36% 84.37% 84.38% 84.39% 84.40% 84.41% 84.42% 84.44% 84.45% 84.46% 84.47% 84.48% 84.49% 84.50% 84.51% 84.52% 84.54% 84.55% 84.56% 84.57% 84.58% 84.59% 84.60% 84.61% 84.62% 84.64% 84.65% 84.66% 84.67% 84.68% 84.69% 84.70% 84.71% 84.72% 84.74% 84.75% 84.76% 84.77% 84.78% 84.79% 84.80% 84.81% 84.82% 84.84% 84.85% 84.86% 84.87% 84.88% 84.89% 84.90% 84.91% 84.92% 84.94% 84.95% 84.96% 84.97% 84.98% 84.99% 85.00% 85.01% 85.02% 85.03% 85.05% 85.06% 85.07% 85.08% 85.09% 85.10% 85.11% 85.12% 85.13% 85.15% 85.16% 85.17% 85.18% 85.19% 85.20% 85.21% 85.22% 85.23% 85.25% 85.26% 85.27% 85.28% 85.29% 85.30% 85.31% 85.32% 85.33% 85.35% 85.36% 85.37% 85.38% 85.39% 85.40% 85.41% 85.42% 85.43% 85.45% 85.46% 85.47% 85.48% 85.49% 85.50% 85.51% 85.52% 85.53% 85.55% 85.56% 85.57% 85.58% 85.59% 85.60% 85.61% 85.62% 85.63% 85.65% 85.66% 85.67% 85.68% 85.69% 85.70% 85.71% 85.72% 85.73% 85.75% 85.76% 85.77% 85.78% 85.79% 85.80% 85.81% 85.82% 85.83% 85.85% 85.86% 85.87% 85.88% 85.89% 85.90% 85.91% 85.92% 85.93% 85.95% 85.96% 85.97% 85.98% 85.99% 86.00% 86.01% 86.02% 86.03% 86.05% 86.06% 86.07% 86.08% 86.09% 86.10% 86.11% 86.12% 86.13% 86.15% 86.16% 86.17% 86.18% 86.19% 86.20% 86.21% 86.22% 86.23% 86.25% 86.26% 86.27% 86.28% 86.29% 86.30% 86.31% 86.32% 86.33% 86.35% 86.36% 86.37% 86.38% 86.39% 86.40% 86.41% 86.42% 86.43% 86.45% 86.46% 86.47% 86.48% 86.49% 86.50% 86.51% 86.52% 86.53% 86.55% 86.56% 86.57% 86.58% 86.59% 86.60% 86.61% 86.62% 86.63% 86.65% 86.66% 86.67% 86.68% 86.69% 86.70% 86.71% 86.72% 86.73% 86.75% 86.76% 86.77% 86.78% 86.79% 86.80% 86.81% 86.82% 86.83% 86.85% 86.86% 86.87% 86.88% 86.89% 86.90% 86.91% 86.92% 86.93% 86.95% 86.96% 86.97% 86.98% 86.99% 87.00% 87.01% 87.02% 87.03% 87.05% 87.06% 87.07% 87.08% 87.09% 87.10% 87.11% 87.12% 87.13% 87.15% 87.16% 87.17% 87.18% 87.19% 87.20% 87.21% 87.22% 87.23% 87.25% 87.26% 87.27% 87.28% 87.29% 87.30% 87.31% 87.32% 87.33% 87.35% 87.36% 87.37% 87.38% 87.39% 87.40% 87.41% 87.42% 87.43% 87.45% 87.46% 87.47% 87.48% 87.49% 87.50% 87.51% 87.52% 87.53% 87.55% 87.56% 87.57% 87.58% 87.59% 87.60% 87.61% 87.62% 87.63% 87.65% 87.66% 87.67% 87.68% 87.69% 87.70% 87.71% 87.72% 87.73% 87.75% 87.76% 87.77% 87.78% 87.79% 87.80% 87.81% 87.82% 87.83% 87.85% 87.86% 87.87% 87.88% 87.89% 87.90% 87.91% 87.92% 87.93% 87.95% 87.96% 87.97% 87.98% 87.99% 88.00% 88.01% 88.02% 88.03% 88.05% 88.06% 88.07% 88.08% 88.09% 88.10% 88.11% 88.12% 88.13% 88.15% 88.16% 88.17% 88.18% 88.19% 88.20% 88.21% 88.22% 88.23% 88.25% 88.26% 88.27% 88.28% 88.29% 88.30% 88.31% 88.32% 88.33% 88.35% 88.36% 88.37% 88.38% 88.39% 88.40% 88.41% 88.42% 88.43% 88.45% 88.46% 88.47% 88.48% 88.49% 88.50% 88.51% 88.52% 88.53% 88.55% 88.56% 88.57% 88.58% 88.59% 88.60% 88.61% 88.62% 88.63% 88.65% 88.66% 88.67% 88.68% 88.69% 88.70% 88.71% 88.72% 88.73% 88.75% 88.76% 88.77% 88.78% 88.79% 88.80% 88.81% 88.82% 88.83% 88.85% 88.86% 88.87% 88.88% 88.89% 88.90% 88.91% 88.92% 88.93% 88.95% 88.96% 88.97% 88.98% 88.99% 89.00% 89.01% 89.02% 89.03% 89.05% 89.06% 89.07% 89.08% 89.09% 89.10% 89.11% 89.12% 89.13% 89.15% 89.16% 89.17% 89.18% 89.19% 89.20% 89.21% 89.22% 89.23% 89.25% 89.26% 89.27% 89.28% 89.29% 89.30% 89.31% 89.32% 89.33% 89.35% 89.36% 89.37% 89.38% 89.39% 89.40% 89.41% 89.42% 89.43% 89.45% 89.46% 89.47% 89.48% 89.49% 89.50% 89.51% 89.52% 89.53% 89.55% 89.56% 89.57% 89.58% 89.59% 89.60% 89.61% 89.62% 89.63% 89.65% 89.66% 89.67% 89.68% 89.69% 89.70% 89.71% 89.72% 89.73% 89.75% 89.76% 89.77% 89.78% 89.79% 89.80% 89.81% 89.82% 89.83% 89.85% 89.86% 89.87% 89.88% 89.89% 89.90% 89.91% 89.92% 89.93% 89.95% 89.96% 89.97% 89.98% 89.99% 90.00% 90.01% 90.02% 90.03% 90.05% 90.06% 90.07% 90.08% 90.09% 90.10% 90.11% 90.12% 90.13% 90.15% 90.16% 90.17% 90.18% 90.19% 90.20% 90.21% 90.22% 90.23% 90.25% 90.26% 90.27% 90.28% 90.29% 90.30% 90.31% 90.32% 90.33% 90.35% 90.36% 90.37% 90.38% 90.39% 90.40% 90.41% 90.42% 90.43% 90.45% 90.46% 90.47% 90.48% 90.49% 90.50% 90.51% 90.52% 90.53% 90.55% 90.56% 90.57% 90.58% 90.59% 90.60% 90.61% 90.62% 90.63% 90.65% 90.66% 90.67% 90.68% 90.69% 90.70% 90.71% 90.72% 90.73% 90.75% 90.76% 90.77% 90.78% 90.79% 90.80% 90.81% 90.82% 90.83% 90.85% 90.86% 90.87% 90.88% 90.89% 90.90% 90.91% 90.92% 90.93% 90.95% 90.96% 90.97% 90.98% 90.99% 91.00% 91.01% 91.02% 91.03% 91.05% 91.06% 91.07% 91.08% 91.09% 91.10% 91.11% 91.12% 91.13% 91.15% 91.16% 91.17% 91.18% 91.19% 91.20% 91.21% 91.22% 91.23% 91.25% 91.26% 91.27% 91.28% 91.29% 91.30% 91.31% 91.32% 91.33% 91.35% 91.36% 91.37% 91.38% 91.39% 91.40% 91.41% 91.42% 91.43% 91.45% 91.46% 91.47% 91.48% 91.49% 91.50% 91.51% 91.52% 91.53% 91.55% 91.56% 91.57% 91.58% 91.59% 91.60% 91.61% 91.62% 91.63% 91.65% 91.66% 91.67% 91.68% 91.69% 91.70% 91.71% 91.72% 91.73% 91.75% 91.76% 91.77% 91.78% 91.79% 91.80% 91.81% 91.82% 91.83% 91.85% 91.86% 91.87% 91.88% 91.89% 91.90% 91.91% 91.92% 91.93% 91.95% 91.96% 91.97% 91.98% 91.99% 92.00% 92.01% 92.02% 92.03% 92.05% 92.06% 92.07% 92.08% 92.09% 92.10% 92.11% 92.12% 92.13% 92.15% 92.16% 92.17% 92.18% 92.19% 92.20% 92.21% 92.22% 92.23% 92.25% 92.26% 92.27% 92.28% 92.29% 92.30% 92.31% 92.32% 92.33% 92.35% 92.36% 92.37% 92.38% 92.39% 92.40% 92.41% 92.42% 92.43% 92.45% 92.46% 92.47% 92.48% 92.49% 92.50% 92.51% 92.52% 92.53% 92.55% 92.56% 92.57% 92.58% 92.59% 92.60% 92.61% 92.62% 92.63% 92.65% 92.66% 92.67% 92.68% 92.69% 92.70% 92.71% 92.72% 92.73% 92.75% 92.76% 92.77% 92.78% 92.79% 92.80% 92.81% 92.82% 92.83% 92.85% 92.86% 92.87% 92.88% 92.89% 92.90% 92.91% 92.92% 92.93% 92.95% 92.96% 92.97% 92.98% 92.99% 93.00% 93.01% 93.02% 93.03% 93.05% 93.06% 93.07% 93.08% 93.09% 93.10% 93.11% 93.12% 93.13% 93.15% 93.16% 93.17% 93.18% 93.19% 93.20% 93.21% 93.22% 93.23% 93.25% 93.26% 93.27% 93.28% 93.29% 93.30% 93.31% 93.32% 93.33% 93.35% 93.36% 93.37% 93.38% 93.39% 93.40% 93.41% 93.42% 93.43% 93.45% 93.46% 93.47% 93.48% 93.49% 93.50% 93.51% 93.52% 93.53% 93.55% 93.56% 93.57% 93.58% 93.59% 93.60% 93.61% 93.62% 93.63% 93.65% 93.66% 93.67% 93.68% 93.69% 93.70% 93.71% 93.72% 93.73% 93.75% 93.76% 93.77% 93.78% 93.79% 93.80% 93.81% 93.82% 93.83% 93.85% 93.86% 93.87% 93.88% 93.89% 93.90% 93.91% 93.92% 93.93% 93.95% 93.96% 93.97% 93.98% 93.99% 94.00% 94.01% 94.02% 94.03% 94.05% 94.06% 94.07% 94.08% 94.09% 94.10% 94.11% 94.12% 94.13% 94.15% 94.16% 94.17% 94.18% 94.19% 94.20% 94.21% 94.22% 94.23% 94.25% 94.26% 94.27% 94.28% 94.29% 94.30% 94.31% 94.32% 94.33% 94.35% 94.36% 94.37% 94.38% 94.39% 94.40% 94.41% 94.42% 94.43% 94.45% 94.46% 94.47% 94.48% 94.49% 94.50% 94.51% 94.52% 94.53% 94.55% 94.56% 94.57% 94.58% 94.59% 94.60% 94.61% 94.62% 94.63% 94.65% 94.66% 94.67% 94.68% 94.69% 94.70% 94.71% 94.72% 94.73% 94.75% 94.76% 94.77% 94.78% 94.79% 94.80% 94.81% 94.82% 94.83% 94.85% 94.86% 94.87% 94.88% 94.89% 94.90% 94.91% 94.92% 94.93% 94.95% 94.96% 94.97% 94.98% 94.99% 95.00% 95.01% 95.02% 95.03% 95.04% 95.06% 95.07% 95.08% 95.09% 95.10% 95.11% 95.12% 95.13% 95.14% 95.16% 95.17% 95.18% 95.19% 95.20% 95.21% 95.22% 95.23% 95.24% 95.26% 95.27% 95.28% 95.29% 95.30% 95.31% 95.32% 95.33% 95.34% 95.36% 95.37% 95.38% 95.39% 95.40% 95.41% 95.42% 95.43% 95.44% 95.46% 95.47% 95.48% 95.49% 95.50% 95.51% 95.52% 95.53% 95.54% 95.56% 95.57% 95.58% 95.59% 95.60% 95.61% 95.62% 95.63% 95.64% 95.66% 95.67% 95.68% 95.69% 95.70% 95.71% 95.72% 95.73% 95.74% 95.76% 95.77% 95.78% 95.79% 95.80% 95.81% 95.82% 95.83% 95.84% 95.86% 95.87% 95.88% 95.89% 95.90% 95.91% 95.92% 95.93% 95.94% 95.96% 95.97% 95.98% 95.99% 96.00% 96.01% 96.02% 96.03% 96.04% 96.06% 96.07% 96.08% 96.09% 96.10% 96.11% 96.12% 96.13% 96.14% 96.16% 96.17% 96.18% 96.19% 96.20% 96.21% 96.22% 96.23% 96.24% 96.26% 96.27% 96.28% 96.29% 96.30% 96.31% 96.32% 96.33% 96.34% 96.36% 96.37% 96.38% 96.39% 96.40% 96.41% 96.42% 96.43% 96.44% 96.46% 96.47% 96.48% 96.49% 96.50% 96.51% 96.52% 96.53% 96.54% 96.56% 96.57% 96.58% 96.59% 96.60% 96.61% 96.62% 96.63% 96.64% 96.66% 96.67% 96.68% 96.69% 96.70% 96.71% 96.72% 96.73% 96.74% 96.76% 96.77% 96.78% 96.79% 96.80% 96.81% 96.82% 96.83% 96.84% 96.86% 96.87% 96.88% 96.89% 96.90% 96.91% 96.92% 96.93% 96.94% 96.96% 96.97% 96.98% 96.99% 97.00% 97.01% 97.02% 97.03% 97.04% 97.06% 97.07% 97.08% 97.09% 97.10% 97.11% 97.12% 97.13% 97.14% 97.16% 97.17% 97.18% 97.19% 97.20% 97.21% 97.22% 97.23% 97.24% 97.26% 97.27% 97.28% 97.29% 97.30% 97.31% 97.32% 97.33% 97.34% 97.36% 97.37% 97.38% 97.39% 97.40% 97.41% 97.42% 97.43% 97.44% 97.46% 97.47% 97.48% 97.49% 97.50% 97.51% 97.52% 97.53% 97.54% 97.56% 97.57% 97.58% 97.59% 97.60% 97.61% 97.62% 97.63% 97.64% 97.66% 97.67% 97.68% 97.69% 97.70% 97.71% 97.72% 97.73% 97.74% 97.76% 97.77% 97.78% 97.79% 97.80% 97.81% 97.82% 97.83% 97.84% 97.86% 97.87% 97.88% 97.89% 97.90% 97.91% 97.92% 97.93% 97.94% 97.96% 97.97% 97.98% 97.99% 98.00% 98.01% 98.02% 98.03% 98.04% 98.06% 98.07% 98.08% 98.09% 98.10% 98.11% 98.12% 98.13% 98.14% 98.16% 98.17% 98.18% 98.19% 98.20% 98.21% 98.22% 98.23% 98.24% 98.26% 98.27% 98.28% 98.29% 98.30% 98.31% 98.32% 98.33% 98.34% 98.36% 98.37% 98.38% 98.39% 98.40% 98.41% 98.42% 98.43% 98.44% 98.46% 98.47% 98.48% 98.49% 98.50% 98.51% 98.52% 98.53% 98.54% 98.56% 98.57% 98.58% 98.59% 98.60% 98.61% 98.62% 98.63% 98.64% 98.66% 98.67% 98.68% 98.69% 98.70% 98.71% 98.72% 98.73% 98.74% 98.76% 98.77% 98.78% 98.79% 98.80% 98.81% 98.82% 98.83% 98.84% 98.86% 98.87% 98.88% 98.89% 98.90% 98.91% 98.92% 98.93% 98.94% 98.96% 98.97% 98.98% 98.99% 99.00% 99.01% 99.02% 99.03% 99.04% 99.06% 99.07% 99.08% 99.09% 99.10% 99.11% 99.12% 99.13% 99.14% 99.16% 99.17% 99.18% 99.19% 99.20% 99.21% 99.22% 99.23% 99.24% 99.26% 99.27% 99.28% 99.29% 99.30% 99.31% 99.32% 99.33% 99.34% 99.36% 99.37% 99.38% 99.39% 99.40% 99.41% 99.42% 99.43% 99.44% 99.46% 99.47% 99.48% 99.49% 99.50% 99.51% 99.52% 99.53% 99.54% 99.56% 99.57% 99.58% 99.59% 99.60% 99.61% 99.62% 99.63% 99.64% 99.66% 99.67% 99.68% 99.69% 99.70% 99.71% 99.72% 99.73% 99.74% 99.76% 99.77% 99.78% 99.79% 99.80% 99.81% 99.82% 99.83% 99.84% 99.86% 99.87% 99.88% 99.89% 99.90% 99.91% 99.92% 99.93% 99.94% 99.96% 99.97% 99.98% 99.99% 100.00% Adding p-values adjusted for testing multiple hypotheses Gene-wise counting and Fisher's exact tests for trait: Bogus_trait 0.00% 0.01% 0.02% 0.03% 0.04% 0.06% 0.07% 0.08% 0.09% 0.10% 0.11% 0.12% 0.13% 0.14% 0.16% 0.17% 0.18% 0.19% 0.20% 0.21% 0.22% 0.23% 0.24% 0.26% 0.27% 0.28% 0.29% 0.30% 0.31% 0.32% 0.33% 0.34% 0.36% 0.37% 0.38% 0.39% 0.40% 0.41% 0.42% 0.43% 0.44% 0.46% 0.47% 0.48% 0.49% 0.50% 0.51% 0.52% 0.53% 0.54% 0.56% 0.57% 0.58% 0.59% 0.60% 0.61% 0.62% 0.63% 0.64% 0.66% 0.67% 0.68% 0.69% 0.70% 0.71% 0.72% 0.73% 0.74% 0.76% 0.77% 0.78% 0.79% 0.80% 0.81% 0.82% 0.83% 0.84% 0.86% 0.87% 0.88% 0.89% 0.90% 0.91% 0.92% 0.93% 0.94% 0.96% 0.97% 0.98% 0.99% 1.00% 1.01% 1.02% 1.03% 1.04% 1.06% 1.07% 1.08% 1.09% 1.10% 1.11% 1.12% 1.13% 1.14% 1.16% 1.17% 1.18% 1.19% 1.20% 1.21% 1.22% 1.23% 1.24% 1.26% 1.27% 1.28% 1.29% 1.30% 1.31% 1.32% 1.33% 1.34% 1.36% 1.37% 1.38% 1.39% 1.40% 1.41% 1.42% 1.43% 1.44% 1.46% 1.47% 1.48% 1.49% 1.50% 1.51% 1.52% 1.53% 1.54% 1.56% 1.57% 1.58% 1.59% 1.60% 1.61% 1.62% 1.63% 1.64% 1.66% 1.67% 1.68% 1.69% 1.70% 1.71% 1.72% 1.73% 1.74% 1.76% 1.77% 1.78% 1.79% 1.80% 1.81% 1.82% 1.83% 1.84% 1.86% 1.87% 1.88% 1.89% 1.90% 1.91% 1.92% 1.93% 1.94% 1.96% 1.97% 1.98% 1.99% 2.00% 2.01% 2.02% 2.03% 2.04% 2.06% 2.07% 2.08% 2.09% 2.10% 2.11% 2.12% 2.13% 2.14% 2.16% 2.17% 2.18% 2.19% 2.20% 2.21% 2.22% 2.23% 2.24% 2.26% 2.27% 2.28% 2.29% 2.30% 2.31% 2.32% 2.33% 2.34% 2.36% 2.37% 2.38% 2.39% 2.40% 2.41% 2.42% 2.43% 2.44% 2.46% 2.47% 2.48% 2.49% 2.50% 2.51% 2.52% 2.53% 2.54% 2.56% 2.57% 2.58% 2.59% 2.60% 2.61% 2.62% 2.63% 2.64% 2.66% 2.67% 2.68% 2.69% 2.70% 2.71% 2.72% 2.73% 2.74% 2.76% 2.77% 2.78% 2.79% 2.80% 2.81% 2.82% 2.83% 2.84% 2.86% 2.87% 2.88% 2.89% 2.90% 2.91% 2.92% 2.93% 2.94% 2.96% 2.97% 2.98% 2.99% 3.00% 3.01% 3.02% 3.03% 3.04% 3.06% 3.07% 3.08% 3.09% 3.10% 3.11% 3.12% 3.13% 3.14% 3.16% 3.17% 3.18% 3.19% 3.20% 3.21% 3.22% 3.23% 3.24% 3.26% 3.27% 3.28% 3.29% 3.30% 3.31% 3.32% 3.33% 3.34% 3.36% 3.37% 3.38% 3.39% 3.40% 3.41% 3.42% 3.43% 3.44% 3.46% 3.47% 3.48% 3.49% 3.50% 3.51% 3.52% 3.53% 3.54% 3.56% 3.57% 3.58% 3.59% 3.60% 3.61% 3.62% 3.63% 3.64% 3.66% 3.67% 3.68% 3.69% 3.70% 3.71% 3.72% 3.73% 3.74% 3.76% 3.77% 3.78% 3.79% 3.80% 3.81% 3.82% 3.83% 3.84% 3.86% 3.87% 3.88% 3.89% 3.90% 3.91% 3.92% 3.93% 3.94% 3.96% 3.97% 3.98% 3.99% 4.00% 4.01% 4.02% 4.03% 4.04% 4.06% 4.07% 4.08% 4.09% 4.10% 4.11% 4.12% 4.13% 4.14% 4.16% 4.17% 4.18% 4.19% 4.20% 4.21% 4.22% 4.23% 4.24% 4.26% 4.27% 4.28% 4.29% 4.30% 4.31% 4.32% 4.33% 4.34% 4.36% 4.37% 4.38% 4.39% 4.40% 4.41% 4.42% 4.43% 4.44% 4.46% 4.47% 4.48% 4.49% 4.50% 4.51% 4.52% 4.53% 4.54% 4.56% 4.57% 4.58% 4.59% 4.60% 4.61% 4.62% 4.63% 4.64% 4.66% 4.67% 4.68% 4.69% 4.70% 4.71% 4.72% 4.73% 4.74% 4.76% 4.77% 4.78% 4.79% 4.80% 4.81% 4.82% 4.83% 4.84% 4.86% 4.87% 4.88% 4.89% 4.90% 4.91% 4.92% 4.93% 4.94% 4.96% 4.97% 4.98% 4.99% 5.00% 5.01% 5.02% 5.03% 5.04% 5.05% 5.07% 5.08% 5.09% 5.10% 5.11% 5.12% 5.13% 5.14% 5.15% 5.17% 5.18% 5.19% 5.20% 5.21% 5.22% 5.23% 5.24% 5.25% 5.27% 5.28% 5.29% 5.30% 5.31% 5.32% 5.33% 5.34% 5.35% 5.37% 5.38% 5.39% 5.40% 5.41% 5.42% 5.43% 5.44% 5.45% 5.47% 5.48% 5.49% 5.50% 5.51% 5.52% 5.53% 5.54% 5.55% 5.57% 5.58% 5.59% 5.60% 5.61% 5.62% 5.63% 5.64% 5.65% 5.67% 5.68% 5.69% 5.70% 5.71% 5.72% 5.73% 5.74% 5.75% 5.77% 5.78% 5.79% 5.80% 5.81% 5.82% 5.83% 5.84% 5.85% 5.87% 5.88% 5.89% 5.90% 5.91% 5.92% 5.93% 5.94% 5.95% 5.97% 5.98% 5.99% 6.00% 6.01% 6.02% 6.03% 6.04% 6.05% 6.07% 6.08% 6.09% 6.10% 6.11% 6.12% 6.13% 6.14% 6.15% 6.17% 6.18% 6.19% 6.20% 6.21% 6.22% 6.23% 6.24% 6.25% 6.27% 6.28% 6.29% 6.30% 6.31% 6.32% 6.33% 6.34% 6.35% 6.37% 6.38% 6.39% 6.40% 6.41% 6.42% 6.43% 6.44% 6.45% 6.47% 6.48% 6.49% 6.50% 6.51% 6.52% 6.53% 6.54% 6.55% 6.57% 6.58% 6.59% 6.60% 6.61% 6.62% 6.63% 6.64% 6.65% 6.67% 6.68% 6.69% 6.70% 6.71% 6.72% 6.73% 6.74% 6.75% 6.77% 6.78% 6.79% 6.80% 6.81% 6.82% 6.83% 6.84% 6.85% 6.87% 6.88% 6.89% 6.90% 6.91% 6.92% 6.93% 6.94% 6.95% 6.97% 6.98% 6.99% 7.00% 7.01% 7.02% 7.03% 7.04% 7.05% 7.07% 7.08% 7.09% 7.10% 7.11% 7.12% 7.13% 7.14% 7.15% 7.17% 7.18% 7.19% 7.20% 7.21% 7.22% 7.23% 7.24% 7.25% 7.27% 7.28% 7.29% 7.30% 7.31% 7.32% 7.33% 7.34% 7.35% 7.37% 7.38% 7.39% 7.40% 7.41% 7.42% 7.43% 7.44% 7.45% 7.47% 7.48% 7.49% 7.50% 7.51% 7.52% 7.53% 7.54% 7.55% 7.57% 7.58% 7.59% 7.60% 7.61% 7.62% 7.63% 7.64% 7.65% 7.67% 7.68% 7.69% 7.70% 7.71% 7.72% 7.73% 7.74% 7.75% 7.77% 7.78% 7.79% 7.80% 7.81% 7.82% 7.83% 7.84% 7.85% 7.87% 7.88% 7.89% 7.90% 7.91% 7.92% 7.93% 7.94% 7.95% 7.97% 7.98% 7.99% 8.00% 8.01% 8.02% 8.03% 8.04% 8.05% 8.07% 8.08% 8.09% 8.10% 8.11% 8.12% 8.13% 8.14% 8.15% 8.17% 8.18% 8.19% 8.20% 8.21% 8.22% 8.23% 8.24% 8.25% 8.27% 8.28% 8.29% 8.30% 8.31% 8.32% 8.33% 8.34% 8.35% 8.37% 8.38% 8.39% 8.40% 8.41% 8.42% 8.43% 8.44% 8.45% 8.47% 8.48% 8.49% 8.50% 8.51% 8.52% 8.53% 8.54% 8.55% 8.57% 8.58% 8.59% 8.60% 8.61% 8.62% 8.63% 8.64% 8.65% 8.67% 8.68% 8.69% 8.70% 8.71% 8.72% 8.73% 8.74% 8.75% 8.77% 8.78% 8.79% 8.80% 8.81% 8.82% 8.83% 8.84% 8.85% 8.87% 8.88% 8.89% 8.90% 8.91% 8.92% 8.93% 8.94% 8.95% 8.97% 8.98% 8.99% 9.00% 9.01% 9.02% 9.03% 9.04% 9.05% 9.07% 9.08% 9.09% 9.10% 9.11% 9.12% 9.13% 9.14% 9.15% 9.17% 9.18% 9.19% 9.20% 9.21% 9.22% 9.23% 9.24% 9.25% 9.27% 9.28% 9.29% 9.30% 9.31% 9.32% 9.33% 9.34% 9.35% 9.37% 9.38% 9.39% 9.40% 9.41% 9.42% 9.43% 9.44% 9.45% 9.47% 9.48% 9.49% 9.50% 9.51% 9.52% 9.53% 9.54% 9.55% 9.57% 9.58% 9.59% 9.60% 9.61% 9.62% 9.63% 9.64% 9.65% 9.67% 9.68% 9.69% 9.70% 9.71% 9.72% 9.73% 9.74% 9.75% 9.77% 9.78% 9.79% 9.80% 9.81% 9.82% 9.83% 9.84% 9.85% 9.87% 9.88% 9.89% 9.90% 9.91% 9.92% 9.93% 9.94% 9.95% 9.97% 9.98% 9.99% 10.00% 10.01% 10.02% 10.03% 10.04% 10.05% 10.07% 10.08% 10.09% 10.10% 10.11% 10.12% 10.13% 10.14% 10.15% 10.17% 10.18% 10.19% 10.20% 10.21% 10.22% 10.23% 10.24% 10.25% 10.27% 10.28% 10.29% 10.30% 10.31% 10.32% 10.33% 10.34% 10.35% 10.37% 10.38% 10.39% 10.40% 10.41% 10.42% 10.43% 10.44% 10.45% 10.47% 10.48% 10.49% 10.50% 10.51% 10.52% 10.53% 10.54% 10.55% 10.57% 10.58% 10.59% 10.60% 10.61% 10.62% 10.63% 10.64% 10.65% 10.67% 10.68% 10.69% 10.70% 10.71% 10.72% 10.73% 10.74% 10.75% 10.77% 10.78% 10.79% 10.80% 10.81% 10.82% 10.83% 10.84% 10.85% 10.87% 10.88% 10.89% 10.90% 10.91% 10.92% 10.93% 10.94% 10.95% 10.97% 10.98% 10.99% 11.00% 11.01% 11.02% 11.03% 11.04% 11.05% 11.07% 11.08% 11.09% 11.10% 11.11% 11.12% 11.13% 11.14% 11.15% 11.17% 11.18% 11.19% 11.20% 11.21% 11.22% 11.23% 11.24% 11.25% 11.27% 11.28% 11.29% 11.30% 11.31% 11.32% 11.33% 11.34% 11.35% 11.37% 11.38% 11.39% 11.40% 11.41% 11.42% 11.43% 11.44% 11.45% 11.47% 11.48% 11.49% 11.50% 11.51% 11.52% 11.53% 11.54% 11.55% 11.57% 11.58% 11.59% 11.60% 11.61% 11.62% 11.63% 11.64% 11.65% 11.67% 11.68% 11.69% 11.70% 11.71% 11.72% 11.73% 11.74% 11.75% 11.77% 11.78% 11.79% 11.80% 11.81% 11.82% 11.83% 11.84% 11.85% 11.87% 11.88% 11.89% 11.90% 11.91% 11.92% 11.93% 11.94% 11.95% 11.97% 11.98% 11.99% 12.00% 12.01% 12.02% 12.03% 12.04% 12.05% 12.07% 12.08% 12.09% 12.10% 12.11% 12.12% 12.13% 12.14% 12.15% 12.17% 12.18% 12.19% 12.20% 12.21% 12.22% 12.23% 12.24% 12.25% 12.27% 12.28% 12.29% 12.30% 12.31% 12.32% 12.33% 12.34% 12.35% 12.37% 12.38% 12.39% 12.40% 12.41% 12.42% 12.43% 12.44% 12.45% 12.47% 12.48% 12.49% 12.50% 12.51% 12.52% 12.53% 12.54% 12.55% 12.57% 12.58% 12.59% 12.60% 12.61% 12.62% 12.63% 12.64% 12.65% 12.67% 12.68% 12.69% 12.70% 12.71% 12.72% 12.73% 12.74% 12.75% 12.77% 12.78% 12.79% 12.80% 12.81% 12.82% 12.83% 12.84% 12.85% 12.87% 12.88% 12.89% 12.90% 12.91% 12.92% 12.93% 12.94% 12.95% 12.97% 12.98% 12.99% 13.00% 13.01% 13.02% 13.03% 13.04% 13.05% 13.07% 13.08% 13.09% 13.10% 13.11% 13.12% 13.13% 13.14% 13.15% 13.17% 13.18% 13.19% 13.20% 13.21% 13.22% 13.23% 13.24% 13.25% 13.27% 13.28% 13.29% 13.30% 13.31% 13.32% 13.33% 13.34% 13.35% 13.37% 13.38% 13.39% 13.40% 13.41% 13.42% 13.43% 13.44% 13.45% 13.47% 13.48% 13.49% 13.50% 13.51% 13.52% 13.53% 13.54% 13.55% 13.57% 13.58% 13.59% 13.60% 13.61% 13.62% 13.63% 13.64% 13.65% 13.67% 13.68% 13.69% 13.70% 13.71% 13.72% 13.73% 13.74% 13.75% 13.77% 13.78% 13.79% 13.80% 13.81% 13.82% 13.83% 13.84% 13.85% 13.87% 13.88% 13.89% 13.90% 13.91% 13.92% 13.93% 13.94% 13.95% 13.97% 13.98% 13.99% 14.00% 14.01% 14.02% 14.03% 14.04% 14.05% 14.07% 14.08% 14.09% 14.10% 14.11% 14.12% 14.13% 14.14% 14.15% 14.17% 14.18% 14.19% 14.20% 14.21% 14.22% 14.23% 14.24% 14.25% 14.27% 14.28% 14.29% 14.30% 14.31% 14.32% 14.33% 14.34% 14.35% 14.37% 14.38% 14.39% 14.40% 14.41% 14.42% 14.43% 14.44% 14.45% 14.47% 14.48% 14.49% 14.50% 14.51% 14.52% 14.53% 14.54% 14.55% 14.57% 14.58% 14.59% 14.60% 14.61% 14.62% 14.63% 14.64% 14.65% 14.67% 14.68% 14.69% 14.70% 14.71% 14.72% 14.73% 14.74% 14.75% 14.77% 14.78% 14.79% 14.80% 14.81% 14.82% 14.83% 14.84% 14.85% 14.87% 14.88% 14.89% 14.90% 14.91% 14.92% 14.93% 14.94% 14.95% 14.97% 14.98% 14.99% 15.00% 15.01% 15.02% 15.03% 15.04% 15.05% 15.06% 15.08% 15.09% 15.10% 15.11% 15.12% 15.13% 15.14% 15.15% 15.16% 15.18% 15.19% 15.20% 15.21% 15.22% 15.23% 15.24% 15.25% 15.26% 15.28% 15.29% 15.30% 15.31% 15.32% 15.33% 15.34% 15.35% 15.36% 15.38% 15.39% 15.40% 15.41% 15.42% 15.43% 15.44% 15.45% 15.46% 15.48% 15.49% 15.50% 15.51% 15.52% 15.53% 15.54% 15.55% 15.56% 15.58% 15.59% 15.60% 15.61% 15.62% 15.63% 15.64% 15.65% 15.66% 15.68% 15.69% 15.70% 15.71% 15.72% 15.73% 15.74% 15.75% 15.76% 15.78% 15.79% 15.80% 15.81% 15.82% 15.83% 15.84% 15.85% 15.86% 15.88% 15.89% 15.90% 15.91% 15.92% 15.93% 15.94% 15.95% 15.96% 15.98% 15.99% 16.00% 16.01% 16.02% 16.03% 16.04% 16.05% 16.06% 16.08% 16.09% 16.10% 16.11% 16.12% 16.13% 16.14% 16.15% 16.16% 16.18% 16.19% 16.20% 16.21% 16.22% 16.23% 16.24% 16.25% 16.26% 16.28% 16.29% 16.30% 16.31% 16.32% 16.33% 16.34% 16.35% 16.36% 16.38% 16.39% 16.40% 16.41% 16.42% 16.43% 16.44% 16.45% 16.46% 16.48% 16.49% 16.50% 16.51% 16.52% 16.53% 16.54% 16.55% 16.56% 16.58% 16.59% 16.60% 16.61% 16.62% 16.63% 16.64% 16.65% 16.66% 16.68% 16.69% 16.70% 16.71% 16.72% 16.73% 16.74% 16.75% 16.76% 16.78% 16.79% 16.80% 16.81% 16.82% 16.83% 16.84% 16.85% 16.86% 16.88% 16.89% 16.90% 16.91% 16.92% 16.93% 16.94% 16.95% 16.96% 16.98% 16.99% 17.00% 17.01% 17.02% 17.03% 17.04% 17.05% 17.06% 17.08% 17.09% 17.10% 17.11% 17.12% 17.13% 17.14% 17.15% 17.16% 17.18% 17.19% 17.20% 17.21% 17.22% 17.23% 17.24% 17.25% 17.26% 17.28% 17.29% 17.30% 17.31% 17.32% 17.33% 17.34% 17.35% 17.36% 17.38% 17.39% 17.40% 17.41% 17.42% 17.43% 17.44% 17.45% 17.46% 17.48% 17.49% 17.50% 17.51% 17.52% 17.53% 17.54% 17.55% 17.56% 17.58% 17.59% 17.60% 17.61% 17.62% 17.63% 17.64% 17.65% 17.66% 17.68% 17.69% 17.70% 17.71% 17.72% 17.73% 17.74% 17.75% 17.76% 17.78% 17.79% 17.80% 17.81% 17.82% 17.83% 17.84% 17.85% 17.86% 17.88% 17.89% 17.90% 17.91% 17.92% 17.93% 17.94% 17.95% 17.96% 17.98% 17.99% 18.00% 18.01% 18.02% 18.03% 18.04% 18.05% 18.06% 18.08% 18.09% 18.10% 18.11% 18.12% 18.13% 18.14% 18.15% 18.16% 18.18% 18.19% 18.20% 18.21% 18.22% 18.23% 18.24% 18.25% 18.26% 18.28% 18.29% 18.30% 18.31% 18.32% 18.33% 18.34% 18.35% 18.36% 18.38% 18.39% 18.40% 18.41% 18.42% 18.43% 18.44% 18.45% 18.46% 18.48% 18.49% 18.50% 18.51% 18.52% 18.53% 18.54% 18.55% 18.56% 18.58% 18.59% 18.60% 18.61% 18.62% 18.63% 18.64% 18.65% 18.66% 18.68% 18.69% 18.70% 18.71% 18.72% 18.73% 18.74% 18.75% 18.76% 18.78% 18.79% 18.80% 18.81% 18.82% 18.83% 18.84% 18.85% 18.86% 18.88% 18.89% 18.90% 18.91% 18.92% 18.93% 18.94% 18.95% 18.96% 18.98% 18.99% 19.00% 19.01% 19.02% 19.03% 19.04% 19.05% 19.06% 19.08% 19.09% 19.10% 19.11% 19.12% 19.13% 19.14% 19.15% 19.16% 19.18% 19.19% 19.20% 19.21% 19.22% 19.23% 19.24% 19.25% 19.26% 19.28% 19.29% 19.30% 19.31% 19.32% 19.33% 19.34% 19.35% 19.36% 19.38% 19.39% 19.40% 19.41% 19.42% 19.43% 19.44% 19.45% 19.46% 19.48% 19.49% 19.50% 19.51% 19.52% 19.53% 19.54% 19.55% 19.56% 19.58% 19.59% 19.60% 19.61% 19.62% 19.63% 19.64% 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92.73% 92.75% 92.76% 92.77% 92.78% 92.79% 92.80% 92.81% 92.82% 92.83% 92.85% 92.86% 92.87% 92.88% 92.89% 92.90% 92.91% 92.92% 92.93% 92.95% 92.96% 92.97% 92.98% 92.99% 93.00% 93.01% 93.02% 93.03% 93.05% 93.06% 93.07% 93.08% 93.09% 93.10% 93.11% 93.12% 93.13% 93.15% 93.16% 93.17% 93.18% 93.19% 93.20% 93.21% 93.22% 93.23% 93.25% 93.26% 93.27% 93.28% 93.29% 93.30% 93.31% 93.32% 93.33% 93.35% 93.36% 93.37% 93.38% 93.39% 93.40% 93.41% 93.42% 93.43% 93.45% 93.46% 93.47% 93.48% 93.49% 93.50% 93.51% 93.52% 93.53% 93.55% 93.56% 93.57% 93.58% 93.59% 93.60% 93.61% 93.62% 93.63% 93.65% 93.66% 93.67% 93.68% 93.69% 93.70% 93.71% 93.72% 93.73% 93.75% 93.76% 93.77% 93.78% 93.79% 93.80% 93.81% 93.82% 93.83% 93.85% 93.86% 93.87% 93.88% 93.89% 93.90% 93.91% 93.92% 93.93% 93.95% 93.96% 93.97% 93.98% 93.99% 94.00% 94.01% 94.02% 94.03% 94.05% 94.06% 94.07% 94.08% 94.09% 94.10% 94.11% 94.12% 94.13% 94.15% 94.16% 94.17% 94.18% 94.19% 94.20% 94.21% 94.22% 94.23% 94.25% 94.26% 94.27% 94.28% 94.29% 94.30% 94.31% 94.32% 94.33% 94.35% 94.36% 94.37% 94.38% 94.39% 94.40% 94.41% 94.42% 94.43% 94.45% 94.46% 94.47% 94.48% 94.49% 94.50% 94.51% 94.52% 94.53% 94.55% 94.56% 94.57% 94.58% 94.59% 94.60% 94.61% 94.62% 94.63% 94.65% 94.66% 94.67% 94.68% 94.69% 94.70% 94.71% 94.72% 94.73% 94.75% 94.76% 94.77% 94.78% 94.79% 94.80% 94.81% 94.82% 94.83% 94.85% 94.86% 94.87% 94.88% 94.89% 94.90% 94.91% 94.92% 94.93% 94.95% 94.96% 94.97% 94.98% 94.99% 95.00% 95.01% 95.02% 95.03% 95.04% 95.06% 95.07% 95.08% 95.09% 95.10% 95.11% 95.12% 95.13% 95.14% 95.16% 95.17% 95.18% 95.19% 95.20% 95.21% 95.22% 95.23% 95.24% 95.26% 95.27% 95.28% 95.29% 95.30% 95.31% 95.32% 95.33% 95.34% 95.36% 95.37% 95.38% 95.39% 95.40% 95.41% 95.42% 95.43% 95.44% 95.46% 95.47% 95.48% 95.49% 95.50% 95.51% 95.52% 95.53% 95.54% 95.56% 95.57% 95.58% 95.59% 95.60% 95.61% 95.62% 95.63% 95.64% 95.66% 95.67% 95.68% 95.69% 95.70% 95.71% 95.72% 95.73% 95.74% 95.76% 95.77% 95.78% 95.79% 95.80% 95.81% 95.82% 95.83% 95.84% 95.86% 95.87% 95.88% 95.89% 95.90% 95.91% 95.92% 95.93% 95.94% 95.96% 95.97% 95.98% 95.99% 96.00% 96.01% 96.02% 96.03% 96.04% 96.06% 96.07% 96.08% 96.09% 96.10% 96.11% 96.12% 96.13% 96.14% 96.16% 96.17% 96.18% 96.19% 96.20% 96.21% 96.22% 96.23% 96.24% 96.26% 96.27% 96.28% 96.29% 96.30% 96.31% 96.32% 96.33% 96.34% 96.36% 96.37% 96.38% 96.39% 96.40% 96.41% 96.42% 96.43% 96.44% 96.46% 96.47% 96.48% 96.49% 96.50% 96.51% 96.52% 96.53% 96.54% 96.56% 96.57% 96.58% 96.59% 96.60% 96.61% 96.62% 96.63% 96.64% 96.66% 96.67% 96.68% 96.69% 96.70% 96.71% 96.72% 96.73% 96.74% 96.76% 96.77% 96.78% 96.79% 96.80% 96.81% 96.82% 96.83% 96.84% 96.86% 96.87% 96.88% 96.89% 96.90% 96.91% 96.92% 96.93% 96.94% 96.96% 96.97% 96.98% 96.99% 97.00% 97.01% 97.02% 97.03% 97.04% 97.06% 97.07% 97.08% 97.09% 97.10% 97.11% 97.12% 97.13% 97.14% 97.16% 97.17% 97.18% 97.19% 97.20% 97.21% 97.22% 97.23% 97.24% 97.26% 97.27% 97.28% 97.29% 97.30% 97.31% 97.32% 97.33% 97.34% 97.36% 97.37% 97.38% 97.39% 97.40% 97.41% 97.42% 97.43% 97.44% 97.46% 97.47% 97.48% 97.49% 97.50% 97.51% 97.52% 97.53% 97.54% 97.56% 97.57% 97.58% 97.59% 97.60% 97.61% 97.62% 97.63% 97.64% 97.66% 97.67% 97.68% 97.69% 97.70% 97.71% 97.72% 97.73% 97.74% 97.76% 97.77% 97.78% 97.79% 97.80% 97.81% 97.82% 97.83% 97.84% 97.86% 97.87% 97.88% 97.89% 97.90% 97.91% 97.92% 97.93% 97.94% 97.96% 97.97% 97.98% 97.99% 98.00% 98.01% 98.02% 98.03% 98.04% 98.06% 98.07% 98.08% 98.09% 98.10% 98.11% 98.12% 98.13% 98.14% 98.16% 98.17% 98.18% 98.19% 98.20% 98.21% 98.22% 98.23% 98.24% 98.26% 98.27% 98.28% 98.29% 98.30% 98.31% 98.32% 98.33% 98.34% 98.36% 98.37% 98.38% 98.39% 98.40% 98.41% 98.42% 98.43% 98.44% 98.46% 98.47% 98.48% 98.49% 98.50% 98.51% 98.52% 98.53% 98.54% 98.56% 98.57% 98.58% 98.59% 98.60% 98.61% 98.62% 98.63% 98.64% 98.66% 98.67% 98.68% 98.69% 98.70% 98.71% 98.72% 98.73% 98.74% 98.76% 98.77% 98.78% 98.79% 98.80% 98.81% 98.82% 98.83% 98.84% 98.86% 98.87% 98.88% 98.89% 98.90% 98.91% 98.92% 98.93% 98.94% 98.96% 98.97% 98.98% 98.99% 99.00% 99.01% 99.02% 99.03% 99.04% 99.06% 99.07% 99.08% 99.09% 99.10% 99.11% 99.12% 99.13% 99.14% 99.16% 99.17% 99.18% 99.19% 99.20% 99.21% 99.22% 99.23% 99.24% 99.26% 99.27% 99.28% 99.29% 99.30% 99.31% 99.32% 99.33% 99.34% 99.36% 99.37% 99.38% 99.39% 99.40% 99.41% 99.42% 99.43% 99.44% 99.46% 99.47% 99.48% 99.49% 99.50% 99.51% 99.52% 99.53% 99.54% 99.56% 99.57% 99.58% 99.59% 99.60% 99.61% 99.62% 99.63% 99.64% 99.66% 99.67% 99.68% 99.69% 99.70% 99.71% 99.72% 99.73% 99.74% 99.76% 99.77% 99.78% 99.79% 99.80% 99.81% 99.82% 99.83% 99.84% 99.86% 99.87% 99.88% 99.89% 99.90% 99.91% 99.92% 99.93% 99.94% 99.96% 99.97% 99.98% 99.99% 100.00% Adding p-values adjusted for testing multiple hypotheses Wrote the UPGMA tree to file: Test4/Tree.nwk Storing results: Tetracycline_resistance Calculating max number of contrasting pairs for each nominally significant gene 0.02% 0.03% 0.05% 0.07% 0.08% 100.00% Storing results to file Storing results: Bogus_trait Calculating max number of contrasting pairs for each nominally significant gene 0.02% 0.03% 0.05% 0.07% 100.00% Storing results to file ==== Finished ==== Checked a total of 9001 genes for associations to 2 trait(s). Total time used: 13 seconds. Scoary finished successfully, but with WARNINGS. Please check your log file. VCF version 4.1 detected Reached the end of the file make[1]: Leaving directory '/build/reproducible-path/scoary-1.6.16' create-stamp debian/debhelper-build-stamp dh_testroot -O--buildsystem=pybuild dh_prep -O--buildsystem=pybuild dh_auto_install --destdir=debian/scoary/ -O--buildsystem=pybuild I: pybuild base:311: /usr/bin/python3.13 setup.py install --root /build/reproducible-path/scoary-1.6.16/debian/scoary /usr/lib/python3/dist-packages/setuptools/dist.py:491: SetuptoolsDeprecationWarning: Invalid dash-separated options !! ******************************************************************************** Usage of dash-separated 'description-file' will not be supported in future versions. Please use the underscore name 'description_file' instead. By 2025-Mar-03, you need to update your project and remove deprecated calls or your builds will no longer be supported. See https://setuptools.pypa.io/en/latest/userguide/declarative_config.html for details. ******************************************************************************** !! opt = self.warn_dash_deprecation(opt, section) /usr/lib/python3/dist-packages/setuptools/_distutils/dist.py:261: UserWarning: Unknown distribution option: 'test_suite' warnings.warn(msg) /usr/lib/python3/dist-packages/setuptools/_distutils/dist.py:261: UserWarning: Unknown distribution option: 'tests_require' warnings.warn(msg) running install /usr/lib/python3/dist-packages/setuptools/_distutils/cmd.py:66: SetuptoolsDeprecationWarning: setup.py install is deprecated. !! ******************************************************************************** Please avoid running ``setup.py`` directly. Instead, use pypa/build, pypa/installer or other standards-based tools. See https://blog.ganssle.io/articles/2021/10/setup-py-deprecated.html for details. ******************************************************************************** !! self.initialize_options() running build running build_py running egg_info writing scoary.egg-info/PKG-INFO writing dependency_links to scoary.egg-info/dependency_links.txt writing entry points to scoary.egg-info/entry_points.txt writing requirements to scoary.egg-info/requires.txt writing top-level names to scoary.egg-info/top_level.txt reading manifest file 'scoary.egg-info/SOURCES.txt' reading manifest template 'MANIFEST.in' adding license file 'LICENSE' writing manifest file 'scoary.egg-info/SOURCES.txt' /usr/lib/python3/dist-packages/setuptools/command/build_py.py:218: _Warning: Package 'scoary.exampledata' is absent from the `packages` configuration. !! ******************************************************************************** ############################ # Package would be ignored # ############################ Python recognizes 'scoary.exampledata' as an importable package[^1], but it is absent from setuptools' `packages` configuration. This leads to an ambiguous overall configuration. If you want to distribute this package, please make sure that 'scoary.exampledata' is explicitly added to the `packages` configuration field. Alternatively, you can also rely on setuptools' discovery methods (for example by using `find_namespace_packages(...)`/`find_namespace:` instead of `find_packages(...)`/`find:`). You can read more about "package discovery" on setuptools documentation page: - https://setuptools.pypa.io/en/latest/userguide/package_discovery.html If you don't want 'scoary.exampledata' to be distributed and are already explicitly excluding 'scoary.exampledata' via `find_namespace_packages(...)/find_namespace` or `find_packages(...)/find`, you can try to use `exclude_package_data`, or `include-package-data=False` in combination with a more fine grained `package-data` configuration. You can read more about "package data files" on setuptools documentation page: - https://setuptools.pypa.io/en/latest/userguide/datafiles.html [^1]: For Python, any directory (with suitable naming) can be imported, even if it does not contain any `.py` files. On the other hand, currently there is no concept of package data directory, all directories are treated like packages. ******************************************************************************** !! check.warn(importable) running install_lib creating /build/reproducible-path/scoary-1.6.16/debian/scoary/usr/lib/python3.13/dist-packages creating /build/reproducible-path/scoary-1.6.16/debian/scoary/usr/lib/python3.13/dist-packages/scoary creating /build/reproducible-path/scoary-1.6.16/debian/scoary/usr/lib/python3.13/dist-packages/scoary/exampledata copying /build/reproducible-path/scoary-1.6.16/.pybuild/cpython3_3.13/build/scoary/exampledata/Example.vcf -> /build/reproducible-path/scoary-1.6.16/debian/scoary/usr/lib/python3.13/dist-packages/scoary/exampledata copying /build/reproducible-path/scoary-1.6.16/.pybuild/cpython3_3.13/build/scoary/exampledata/Tetracycline_resistance.csv -> /build/reproducible-path/scoary-1.6.16/debian/scoary/usr/lib/python3.13/dist-packages/scoary/exampledata copying /build/reproducible-path/scoary-1.6.16/.pybuild/cpython3_3.13/build/scoary/exampledata/ExampleVCFTrait.csv -> /build/reproducible-path/scoary-1.6.16/debian/scoary/usr/lib/python3.13/dist-packages/scoary/exampledata copying /build/reproducible-path/scoary-1.6.16/.pybuild/cpython3_3.13/build/scoary/exampledata/ExampleTree.nwk -> /build/reproducible-path/scoary-1.6.16/debian/scoary/usr/lib/python3.13/dist-packages/scoary/exampledata copying /build/reproducible-path/scoary-1.6.16/.pybuild/cpython3_3.13/build/scoary/exampledata/Gene_presence_absence.csv -> /build/reproducible-path/scoary-1.6.16/debian/scoary/usr/lib/python3.13/dist-packages/scoary/exampledata copying /build/reproducible-path/scoary-1.6.16/.pybuild/cpython3_3.13/build/scoary/exampledata/Restrict_to.csv -> /build/reproducible-path/scoary-1.6.16/debian/scoary/usr/lib/python3.13/dist-packages/scoary/exampledata copying /build/reproducible-path/scoary-1.6.16/.pybuild/cpython3_3.13/build/scoary/__init__.py -> /build/reproducible-path/scoary-1.6.16/debian/scoary/usr/lib/python3.13/dist-packages/scoary copying /build/reproducible-path/scoary-1.6.16/.pybuild/cpython3_3.13/build/scoary/vcf2scoary.py -> /build/reproducible-path/scoary-1.6.16/debian/scoary/usr/lib/python3.13/dist-packages/scoary copying /build/reproducible-path/scoary-1.6.16/.pybuild/cpython3_3.13/build/scoary/GUI.py -> /build/reproducible-path/scoary-1.6.16/debian/scoary/usr/lib/python3.13/dist-packages/scoary copying /build/reproducible-path/scoary-1.6.16/.pybuild/cpython3_3.13/build/scoary/classes.py -> /build/reproducible-path/scoary-1.6.16/debian/scoary/usr/lib/python3.13/dist-packages/scoary copying /build/reproducible-path/scoary-1.6.16/.pybuild/cpython3_3.13/build/scoary/nwkhandler.py -> /build/reproducible-path/scoary-1.6.16/debian/scoary/usr/lib/python3.13/dist-packages/scoary copying /build/reproducible-path/scoary-1.6.16/.pybuild/cpython3_3.13/build/scoary/methods.py -> /build/reproducible-path/scoary-1.6.16/debian/scoary/usr/lib/python3.13/dist-packages/scoary copying /build/reproducible-path/scoary-1.6.16/.pybuild/cpython3_3.13/build/scoary/citation.py -> /build/reproducible-path/scoary-1.6.16/debian/scoary/usr/lib/python3.13/dist-packages/scoary byte-compiling /build/reproducible-path/scoary-1.6.16/debian/scoary/usr/lib/python3.13/dist-packages/scoary/__init__.py to __init__.cpython-313.pyc byte-compiling /build/reproducible-path/scoary-1.6.16/debian/scoary/usr/lib/python3.13/dist-packages/scoary/vcf2scoary.py to vcf2scoary.cpython-313.pyc byte-compiling /build/reproducible-path/scoary-1.6.16/debian/scoary/usr/lib/python3.13/dist-packages/scoary/GUI.py to GUI.cpython-313.pyc byte-compiling /build/reproducible-path/scoary-1.6.16/debian/scoary/usr/lib/python3.13/dist-packages/scoary/classes.py to classes.cpython-313.pyc byte-compiling /build/reproducible-path/scoary-1.6.16/debian/scoary/usr/lib/python3.13/dist-packages/scoary/nwkhandler.py to nwkhandler.cpython-313.pyc byte-compiling /build/reproducible-path/scoary-1.6.16/debian/scoary/usr/lib/python3.13/dist-packages/scoary/methods.py to methods.cpython-313.pyc byte-compiling /build/reproducible-path/scoary-1.6.16/debian/scoary/usr/lib/python3.13/dist-packages/scoary/citation.py to citation.cpython-313.pyc running install_egg_info Copying scoary.egg-info to /build/reproducible-path/scoary-1.6.16/debian/scoary/usr/lib/python3.13/dist-packages/scoary-1.6.16.egg-info Skipping SOURCES.txt running install_scripts Installing scoary script to /build/reproducible-path/scoary-1.6.16/debian/scoary/usr/bin Installing scoary_GUI script to /build/reproducible-path/scoary-1.6.16/debian/scoary/usr/bin Installing vcf2scoary script to /build/reproducible-path/scoary-1.6.16/debian/scoary/usr/bin I: pybuild base:311: /usr/bin/python3 setup.py install --root /build/reproducible-path/scoary-1.6.16/debian/scoary /usr/lib/python3/dist-packages/setuptools/dist.py:491: SetuptoolsDeprecationWarning: Invalid dash-separated options !! ******************************************************************************** Usage of dash-separated 'description-file' will not be supported in future versions. Please use the underscore name 'description_file' instead. By 2025-Mar-03, you need to update your project and remove deprecated calls or your builds will no longer be supported. See https://setuptools.pypa.io/en/latest/userguide/declarative_config.html for details. ******************************************************************************** !! opt = self.warn_dash_deprecation(opt, section) /usr/lib/python3/dist-packages/setuptools/_distutils/dist.py:261: UserWarning: Unknown distribution option: 'test_suite' warnings.warn(msg) /usr/lib/python3/dist-packages/setuptools/_distutils/dist.py:261: UserWarning: Unknown distribution option: 'tests_require' warnings.warn(msg) running install /usr/lib/python3/dist-packages/setuptools/_distutils/cmd.py:66: SetuptoolsDeprecationWarning: setup.py install is deprecated. !! ******************************************************************************** Please avoid running ``setup.py`` directly. Instead, use pypa/build, pypa/installer or other standards-based tools. See https://blog.ganssle.io/articles/2021/10/setup-py-deprecated.html for details. ******************************************************************************** !! self.initialize_options() running build running build_py running egg_info writing scoary.egg-info/PKG-INFO writing dependency_links to scoary.egg-info/dependency_links.txt writing entry points to scoary.egg-info/entry_points.txt writing requirements to scoary.egg-info/requires.txt writing top-level names to scoary.egg-info/top_level.txt reading manifest file 'scoary.egg-info/SOURCES.txt' reading manifest template 'MANIFEST.in' adding license file 'LICENSE' writing manifest file 'scoary.egg-info/SOURCES.txt' /usr/lib/python3/dist-packages/setuptools/command/build_py.py:218: _Warning: Package 'scoary.exampledata' is absent from the `packages` configuration. !! ******************************************************************************** ############################ # Package would be ignored # ############################ Python recognizes 'scoary.exampledata' as an importable package[^1], but it is absent from setuptools' `packages` configuration. This leads to an ambiguous overall configuration. If you want to distribute this package, please make sure that 'scoary.exampledata' is explicitly added to the `packages` configuration field. Alternatively, you can also rely on setuptools' discovery methods (for example by using `find_namespace_packages(...)`/`find_namespace:` instead of `find_packages(...)`/`find:`). You can read more about "package discovery" on setuptools documentation page: - https://setuptools.pypa.io/en/latest/userguide/package_discovery.html If you don't want 'scoary.exampledata' to be distributed and are already explicitly excluding 'scoary.exampledata' via `find_namespace_packages(...)/find_namespace` or `find_packages(...)/find`, you can try to use `exclude_package_data`, or `include-package-data=False` in combination with a more fine grained `package-data` configuration. You can read more about "package data files" on setuptools documentation page: - https://setuptools.pypa.io/en/latest/userguide/datafiles.html [^1]: For Python, any directory (with suitable naming) can be imported, even if it does not contain any `.py` files. On the other hand, currently there is no concept of package data directory, all directories are treated like packages. ******************************************************************************** !! check.warn(importable) running install_lib creating /build/reproducible-path/scoary-1.6.16/debian/scoary/usr/lib/python3.12/dist-packages creating /build/reproducible-path/scoary-1.6.16/debian/scoary/usr/lib/python3.12/dist-packages/scoary creating /build/reproducible-path/scoary-1.6.16/debian/scoary/usr/lib/python3.12/dist-packages/scoary/exampledata copying /build/reproducible-path/scoary-1.6.16/.pybuild/cpython3_3.12/build/scoary/exampledata/Example.vcf -> /build/reproducible-path/scoary-1.6.16/debian/scoary/usr/lib/python3.12/dist-packages/scoary/exampledata copying /build/reproducible-path/scoary-1.6.16/.pybuild/cpython3_3.12/build/scoary/exampledata/Tetracycline_resistance.csv -> /build/reproducible-path/scoary-1.6.16/debian/scoary/usr/lib/python3.12/dist-packages/scoary/exampledata copying /build/reproducible-path/scoary-1.6.16/.pybuild/cpython3_3.12/build/scoary/exampledata/ExampleVCFTrait.csv -> /build/reproducible-path/scoary-1.6.16/debian/scoary/usr/lib/python3.12/dist-packages/scoary/exampledata copying /build/reproducible-path/scoary-1.6.16/.pybuild/cpython3_3.12/build/scoary/exampledata/ExampleTree.nwk -> /build/reproducible-path/scoary-1.6.16/debian/scoary/usr/lib/python3.12/dist-packages/scoary/exampledata copying /build/reproducible-path/scoary-1.6.16/.pybuild/cpython3_3.12/build/scoary/exampledata/Gene_presence_absence.csv -> /build/reproducible-path/scoary-1.6.16/debian/scoary/usr/lib/python3.12/dist-packages/scoary/exampledata copying /build/reproducible-path/scoary-1.6.16/.pybuild/cpython3_3.12/build/scoary/exampledata/Restrict_to.csv -> /build/reproducible-path/scoary-1.6.16/debian/scoary/usr/lib/python3.12/dist-packages/scoary/exampledata copying /build/reproducible-path/scoary-1.6.16/.pybuild/cpython3_3.12/build/scoary/__init__.py -> /build/reproducible-path/scoary-1.6.16/debian/scoary/usr/lib/python3.12/dist-packages/scoary copying /build/reproducible-path/scoary-1.6.16/.pybuild/cpython3_3.12/build/scoary/vcf2scoary.py -> /build/reproducible-path/scoary-1.6.16/debian/scoary/usr/lib/python3.12/dist-packages/scoary copying /build/reproducible-path/scoary-1.6.16/.pybuild/cpython3_3.12/build/scoary/GUI.py -> /build/reproducible-path/scoary-1.6.16/debian/scoary/usr/lib/python3.12/dist-packages/scoary copying /build/reproducible-path/scoary-1.6.16/.pybuild/cpython3_3.12/build/scoary/classes.py -> /build/reproducible-path/scoary-1.6.16/debian/scoary/usr/lib/python3.12/dist-packages/scoary copying /build/reproducible-path/scoary-1.6.16/.pybuild/cpython3_3.12/build/scoary/nwkhandler.py -> /build/reproducible-path/scoary-1.6.16/debian/scoary/usr/lib/python3.12/dist-packages/scoary copying /build/reproducible-path/scoary-1.6.16/.pybuild/cpython3_3.12/build/scoary/methods.py -> /build/reproducible-path/scoary-1.6.16/debian/scoary/usr/lib/python3.12/dist-packages/scoary copying /build/reproducible-path/scoary-1.6.16/.pybuild/cpython3_3.12/build/scoary/citation.py -> /build/reproducible-path/scoary-1.6.16/debian/scoary/usr/lib/python3.12/dist-packages/scoary byte-compiling /build/reproducible-path/scoary-1.6.16/debian/scoary/usr/lib/python3.12/dist-packages/scoary/__init__.py to __init__.cpython-312.pyc byte-compiling /build/reproducible-path/scoary-1.6.16/debian/scoary/usr/lib/python3.12/dist-packages/scoary/vcf2scoary.py to vcf2scoary.cpython-312.pyc byte-compiling /build/reproducible-path/scoary-1.6.16/debian/scoary/usr/lib/python3.12/dist-packages/scoary/GUI.py to GUI.cpython-312.pyc byte-compiling /build/reproducible-path/scoary-1.6.16/debian/scoary/usr/lib/python3.12/dist-packages/scoary/classes.py to classes.cpython-312.pyc byte-compiling /build/reproducible-path/scoary-1.6.16/debian/scoary/usr/lib/python3.12/dist-packages/scoary/nwkhandler.py to nwkhandler.cpython-312.pyc byte-compiling /build/reproducible-path/scoary-1.6.16/debian/scoary/usr/lib/python3.12/dist-packages/scoary/methods.py to methods.cpython-312.pyc byte-compiling /build/reproducible-path/scoary-1.6.16/debian/scoary/usr/lib/python3.12/dist-packages/scoary/citation.py to citation.cpython-312.pyc running install_egg_info Copying scoary.egg-info to /build/reproducible-path/scoary-1.6.16/debian/scoary/usr/lib/python3.12/dist-packages/scoary-1.6.16.egg-info Skipping SOURCES.txt running install_scripts Installing scoary script to /build/reproducible-path/scoary-1.6.16/debian/scoary/usr/bin Installing scoary_GUI script to /build/reproducible-path/scoary-1.6.16/debian/scoary/usr/bin Installing vcf2scoary script to /build/reproducible-path/scoary-1.6.16/debian/scoary/usr/bin dh_install -O--buildsystem=pybuild dh_installdocs -O--buildsystem=pybuild dh_installchangelogs -O--buildsystem=pybuild dh_installman -O--buildsystem=pybuild dh_python3 -O--buildsystem=pybuild dh_installsystemduser -O--buildsystem=pybuild dh_perl -O--buildsystem=pybuild dh_link -O--buildsystem=pybuild dh_strip_nondeterminism -O--buildsystem=pybuild dh_compress -O--buildsystem=pybuild dh_fixperms -O--buildsystem=pybuild dh_missing -O--buildsystem=pybuild dh_installdeb -O--buildsystem=pybuild dh_gencontrol -O--buildsystem=pybuild dh_md5sums -O--buildsystem=pybuild dh_builddeb -O--buildsystem=pybuild dpkg-deb: building package 'scoary' in '../scoary_1.6.16-10_all.deb'. dpkg-genbuildinfo --build=binary -O../scoary_1.6.16-10_armhf.buildinfo dpkg-genchanges --build=binary -O../scoary_1.6.16-10_armhf.changes dpkg-genchanges: info: binary-only upload (no source code included) dpkg-source --after-build . dpkg-buildpackage: info: binary-only upload (no source included) dpkg-genchanges: info: not including original source code in upload I: copying local configuration I: user script /srv/workspace/pbuilder/814/tmp/hooks/B01_cleanup starting I: user script /srv/workspace/pbuilder/814/tmp/hooks/B01_cleanup finished I: unmounting dev/ptmx filesystem I: unmounting dev/pts filesystem I: unmounting dev/shm filesystem I: unmounting proc filesystem I: unmounting sys filesystem I: cleaning the build env I: removing directory /srv/workspace/pbuilder/814 and its subdirectories I: Current time: Thu Dec 5 07:46:08 +14 2024 I: pbuilder-time-stamp: 1733334368