Tree:
67dec11b58
11.0
12.0
12.1
12.2
13.0
13.1
13.37
14.0
14.1
14.2
15.0
bedlam
bedlam-name-fixes
dive
erik
gitignore
libressl-gopher-test
master
misc-fixes
python-renames
rworkman
urchlay
user/aclemons/updates
user/anddt/development/acpica
user/anddt/development/glm
user/anddt/development/gnustep-base
user/anddt/development/gnustep-make
user/anddt/games/assaultcube-reloaded
user/anddt/games/doomseeker
user/anddt/games/prboom-plus
user/anddt/games/rocksndiamonds
user/anddt/games/rottexpr
user/anddt/games/srb2
user/anddt/graphics/blender
user/anddt/graphics/maim
user/anddt/ham/chirp
user/anddt/ham/hamlib
user/anddt/libraries/girara
user/anddt/libraries/goffice
user/anddt/libraries/gtksourceview4
user/anddt/libraries/imlib2
user/anddt/libraries/jsoncpp
user/anddt/libraries/libnova
user/anddt/libraries/libopenmpt
user/anddt/libraries/libtorrent
user/anddt/libraries/wxGTK3
user/anddt/libraries/xmlrpc-c
user/anddt/misc/discount
user/anddt/misc/slop
user/anddt/network/nethogs
user/anddt/network/putty
user/anddt/network/rclone
user/anddt/network/rtorrent
user/anddt/network/sshguard
user/anddt/network/strongswan
user/anddt/network/umurmur
user/anddt/network/yt-dlp
user/anddt/network/znc
user/anddt/office/gnumeric
user/anddt/office/sigil
user/anddt/system/FontAwesome
user/anddt/system/conky
user/anddt/system/fakeroot
user/anddt/system/hplip-plugin
user/anddt/system/postgresql
user/anddt/system/testdisk
user/anddt/system/worker
user/anddt/system/xen
user/anddt/system/zzzfm
user/belka/updates
user/chris.willing/updates
user/dslackw/updates
user/elyk/updates
user/kingbeowulf/updates
user/mario/updates
user/ponce/updates
user/pprkut/updates
willysr
wxWidgets-wip
GPG-KEY
15.0-20230325.1
15.0-20230318.1
15.0-20230312.1
15.0-20230304.1
15.0-20230225.1
15.0-20230218.1
15.0-20230211.1
15.0-20230204.1
15.0-20230128.1
15.0-20230121.1
15.0-20230114.1
15.0-20230107.1
15.0-20221231.1
15.0-20221223.1
15.0-20221217.1
15.0-20221210.1
15.0-20221203.1
15.0-20221126.1
15.0-20221119.1
15.0-20221112.1
15.0-20221105.1
15.0-20221029.1
15.0-20221020.1
15.0-20221015.1
15.0-20221008.1
15.0-20221001.1
15.0-20220925.1
15.0-20220917.1
15.0-20220910.1
15.0-20220903.1
15.0-20220827.1
15.0-20220820.1
15.0-20220813.1
15.0-20220806.1
15.0-20220730.1
15.0-20220723.1
15.0-20220716.1
15.0-20220709.1
15.0-20220702.1
15.0-20220618.1
15.0-20220611.1
15.0-20220604.1
15.0-20220528.1
15.0-20220521.1
15.0-20220514.1
15.0-20220507.1
15.0-20220430.1
15.0-20220423.1
15.0-20220416.1
15.0-20220409.1
15.0-20220402.1
15.0-20220326.1
15.0-20220320.1
15.0-20220317.1
15.0-20220312.1
15.0-20220311.1
14.2-20210417.1
14.2-20210410.1
14.2-20210403.1
14.2-20210327.1
14.2-20210320.1
14.2-20210313.1
14.2-20210306.1
14.2-20210227.1
14.2-20210220.1
14.2-20210213.1
14.2-20210206.1
14.2-20210130.1
14.2-20210123.1
14.2-20210117.1
14.2-20210109.1
14.2-20210102.1
14.2-20201226.1
14.2-20201219.1
14.2-20201212.1
14.2-20201206.1
14.2-20201128.1
14.2-20201121.1
14.2-20201114.1
14.2-20201107.1
14.2-20201031.1
14.2-20201024.1
14.2-20201017.1
14.2-20201010.1
14.2-20201003.1
14.2-20200926.1
14.2-20200919.1
14.2-20200912.1
14.2-20200905.1
14.2-20200829.1
14.2-20200628.1
14.2-20200620.1
14.2-20200614.1
14.2-20200606.1
14.2-20200601.1
14.2-20200523.1
14.2-20200516.1
14.2-20200510.1
14.2-20200503.1
14.2-20200424.1
14.2-20200419.1
14.2-20200411.1
14.2-20200406.1
14.2-20200404.1
14.2-20200328.1
14.2-20200321.1
14.2-20200314.1
14.2-20200307.1
14.2-20200229.1
14.2-20200223.1
14.2-20200215.1
14.2-20200208.1
14.2-20200201.1
14.2-20200126.1
14.2-20200118.1
14.2-20200112.1
14.2-20200103.1
14.2-20191231.1
14.2-20191221.1
14.2-20191215.1
14.2-20191207.1
14.2-20191201.1
14.2-20191123.1
14.2-20191116.1
14.2-20191109.1
14.2-20191102.1
14.2-20191026.1
14.2-20191019.1
14.2-20191012.1
14.2-20191005.1
14.2-20190928.1
14.2-20190921.1
14.2-20190914.1
14.2-20190907.1
14.2-20190831.1
14.2-20190824.1
14.2-20190818.1
14.2-20190810.1
14.2-20190803.1
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14.2-20190720.1
14.2-20190713.1
14.2-20190706.2
14.2-20190706.1
14.2-20190629.1
14.2-20190622.1
14.2-20190615.1
14.2-20190608.1
14.2-20190601.1
14.2-20190525.1
14.2-20190518.1
14.2-20190511.1
14.2-20190504.1
14.2-20190427.1
14.2-20190420.1
14.2-20190413.1
14.2-20190406.1
14.2-20190330.1
14.2-20190323.1
14.2-20190316.1
14.2-20190302.1
14.2-20190223.1
14.2-20190217.1
14.2-20190209.1
14.2-20190202.1
14.2-20190126.1
14.2-20190119.1
14.2-20190112.1
14.2-20190105.1
14.2-20181229.1
14.2-20181225.1
14.2-20181222.1
14.2-20181215.1
14.2-20181209.1
14.2-20181201.1
14.2-20181124.1
14.2-20181117.1
14.2-20181110.1
14.2-20181103.1
14.2-20181027.1
14.2-20181020.1
14.2-20181013.1
14.2-20181006.1
14.2-20180929.1
14.2-20180923.1
14.2-20180922.1
14.2-20180915.1
14.2-20180908.1
14.2-20180901.1
14.2-20180825.1
14.2-20180818.1
14.2-20180811.1
14.2-20180804.1
14.2-20180728.1
14.2-20180721.1
14.2-20180717.1
14.2-20180714.1
14.2-20180707.1
14.2-20180630.1
14.2-20180623.1
14.2-20180618.1
14.2-20180614.1
14.2-20180609.1
14.2-20180602.1
14.2-20180526.1
14.2-20180520.1
14.2-20180519.1
14.2-20180512.1
14.2-20180504.1
14.2-20180427.1
14.2-20180421.1
14.2-20180414.1
14.2-20180407.1
14.2-20180401.1
14.2-20180331.1
14.2-20180324.1
14.2-20180317.1
14.2-20180310.1
14.2-20180305.1
14.2-20180303.1
14.2-20180224.1
14.2-20180217.1
14.2-20180210.1
14.2-20180203.1
14.2-20180127.1
14.2-20180120.1
14.2-20180117.1
14.2-20180113.1
14.2-20180110.1
14.2-20180106.1
14.2-20171228.1
14.2-20171223.1
14.2-20171221.1
14.2-20171216.1
14.2-20171209.1
14.2-20171201.1
14.2-20171124.1
14.2-20171120.1
14.2-20171118.1
14.2-20171111.1
14.2-20171104.1
14.2-20171101
14.2-20171028.1
14.2-20171021.1
14.2-20171014.2
14.2-20171014.1
14.2-20171010.1
14.2-20171007.1
14.2-20170930.1
14.2-20170923.1
14.2-20170917.1
14.2-20170916.1
14.2-20170909.1
14.2-20170902.1
14.2-20170826.1
14.2-20170819.1
14.2-20170813.1
14.2-20170812.1
14.2-20170805.1
14.2-20170729.1
14.2-20170726.1
14.2-20170722.1
14.2-20170715.1
14.2-20170712.1
14.2-20170708.1
14.2-20170701.1
14.2-20170624.1
14.2-20170617.1
14.2-20170615.1
14.2-20170610.1
14.2-20170606.1
14.2-20170603.1
14.2-20170527.1
14.2-20170520.1
14.2-20170513.1
14.2-20170506.1
14.2-20170429.1
14.2-20170422.1
14.2-20170415.1
14.2-20170413.1
14.2-20170408.2
14.2-20170408.1
14.2-20170401.1
14.2-20170326.1
14.2-20170325.1
14.2-20170318.1
14.2-20170311.1
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14.2-20170225.1
14.2-20170221.1
14.2-20170218.1
14.2-20170211.1
14.2-20170204.1
14.2-20170128.1
14.2-20170124.1
14.2-20170121.1
14.2-20170114.1
14.2-20170110.1
14.2-20170109.1
14.2-20170107.1
14.2-20161231.1
14.2-20161224.1
14.2-20161217.2
14.2-20161217.1
14.2-20161210.1
14.2-20161204.1
14.2-20161203.1
14.2-20161126.1
14.2-20161119.1
14.2-20161115.1
14.2-20161114.1
14.2-20161112.1
14.2-20161111.1
14.2-20161105.1
14.2-20161029.1
14.2-20161022.1
14.2-20161015.1
14.2-20161008.1
14.2-20161001.2
14.2-20161001.1
14.2-20160925.1
14.2-20160924.1
14.2-20160917.1
14.2-20160914.2
14.2-20160914.1
14.2-20160911.2
14.2-20160911.1
14.2-20160903.1
14.2-20160827.1
14.2-20160820.1
14.2-20160814.1
14.2-20160813.1
14.2-20160807.1
14.2-20160805.1
14.2-20160730.1
14.2-20160724.1
14.2-20160721.1
14.2-20160720.2
14.2-20160720.1
14.2-20160717.2
14.2-20160717.1
14.2-20160709.1
14.2-20160702.2
14.2-20160702.1
14.1-20160902.1
14.1-20160629.1
14.1-20160627.2
14.1-20160627.1
14.1-20160625.1
14.1-20160623.1
14.1-20160619.2
14.1-20160619.1
14.1-20160512.1
14.1-20160419.1
14.1-20160407.1
14.1-20160403.1
14.1-20160321.1
14.1-20160227.1
14.1-20160117.1
14.1-20160113.1
14.1-20160111.1
14.1-20160109.1
14.1-20160101.1
14.1-20151225.2
14.1-20151225.1
14.1-20151219.1
14.1-20151212.1
14.1-20151205.1
14.1-20151128.1
14.1-20151121.1
14.1-20151114.1
14.1-20151107.1
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14.1-20151024.1
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14.1-20150628.2
14.1-20150628.1
14.1-20150620.2
14.1-20150620.1
14.1-20150614.2
14.1-20150614.1
14.1-20150607.1
14.1-20150531.1
14.1-20150524.1
14.1-20150517.1
14.1-20150510.1
14.1-20150503.1
14.1-20150426.1
14.1-20150419.1
14.1-20150412.1
14.1-20150405.1
14.1-20150329.1
14.1-20150322.1
14.1-20150314.1
14.1-20150307.1
14.1-20150228.2
14.1-20150228.1
14.1-20150221.1
14.1-20150215.1
14.1-20150208.1
14.1-20150207.1
14.1-20150131.1
14.1-20150124.1
14.1-20150118.1
14.1-20150110.1
14.1-20150103.1
14.1-20141231.1
14.1-20141228.1
14.1-20141225.1
14.1-20141220.1
14.1-20141213.1
14.1-20141206.1
14.1-20141129.2
14.1-20141129.1
14.1-20141122.1
14.1-20141115.1
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14.1-20141101.1
14.1-20141025.1
14.1-20141018.2
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14.1-20140927.1
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14.1-20140905.2
14.1-20140905.1
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14.1-20140427.1
14.1-20140423.1
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14.1-20140202.2
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14.1-20131225.1
14.1-20131217.1
14.1-20131214.1
14.1-20131206.1
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14.1-20131130.1
14.1-20131128.1
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14.0-20131114.2
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13.1-20100321
13.1-20100217.1
Pedro Mendes
454ba8c337
academic/copasi: Updated for version 4.16.104.
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9 years ago | |
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| .. | ||
| README | 9639f2f744 academic/copasi: Added (modeling/simulation of biochemical networks) | 13 years ago |
| copasi.SlackBuild | 454ba8c337 academic/copasi: Updated for version 4.16.104. | 9 years ago |
| copasi.desktop | 14c9325a87 academic/copasi: Updated for version 55. | 11 years ago |
| copasi.info | 454ba8c337 academic/copasi: Updated for version 4.16.104. | 9 years ago |
| doinst.sh | 9639f2f744 academic/copasi: Added (modeling/simulation of biochemical networks) | 13 years ago |
| slack-desc | 610e8461bb various: Fix slack-desc formatting and comment nit picks. | 11 years ago |
README
COPASI is a package for modeling and simulation of biochemical networks,
popular in the field of systems biology.
COPASI is a stand-alone program that simulates models of biochemical
networks using ODE solvers or Gillespie's stochastic simulation
algorithm. COPASI is compatible with models in SBML format. It also
performs several analyses, such as steady state, stability, parameter
sensitivity, elementary modes, Lyapunov exponents, optimization, and
parameter estimation. Data can be visualized in plots, histograms and
animations of network diagrams. COPASI's GUI is based on QT, but a
command line version is also included that allows for processing
computations in batch mode.
COPASI is a collaboration between research groups at the Virginia
Bioinformatics Institute, University of Heidelberg, University of
Manchester and previously in the EML-Research.
popular in the field of systems biology.
COPASI is a stand-alone program that simulates models of biochemical
networks using ODE solvers or Gillespie's stochastic simulation
algorithm. COPASI is compatible with models in SBML format. It also
performs several analyses, such as steady state, stability, parameter
sensitivity, elementary modes, Lyapunov exponents, optimization, and
parameter estimation. Data can be visualized in plots, histograms and
animations of network diagrams. COPASI's GUI is based on QT, but a
command line version is also included that allows for processing
computations in batch mode.
COPASI is a collaboration between research groups at the Virginia
Bioinformatics Institute, University of Heidelberg, University of
Manchester and previously in the EML-Research.