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author | Petar Petrov <slackalaxy@gmail.com> | 2017-04-19 11:01:35 +0100 |
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committer | Willy Sudiarto Raharjo <willysr@slackbuilds.org> | 2017-04-22 08:10:45 +0700 |
commit | 30bc07bbf06b29cc0d5e0fc08928ab4851bdd3d1 (patch) | |
tree | 6772be2aeed7dc4cf26c2651cd4db62843b534ee /academic/megacc/README | |
parent | 6f98f7666ddc0cd43ac48d3794d6bc820f8d613e (diff) |
academic/megacc: Added (Molecular Evolutionary Genetics Analysis).
Signed-off-by: David Spencer <idlemoor@slackbuilds.org>
Diffstat (limited to 'academic/megacc/README')
-rw-r--r-- | academic/megacc/README | 37 |
1 files changed, 37 insertions, 0 deletions
diff --git a/academic/megacc/README b/academic/megacc/README new file mode 100644 index 0000000000..ccb0a7bdf6 --- /dev/null +++ b/academic/megacc/README @@ -0,0 +1,37 @@ +MEGA: Molecular Evolutionary Genetics Analysis + +Sophisticated and user-friendly software suite for analyzing DNA and +protein sequence data from species and populations. + +MEGA-CC is the command-line version of MEGA that implements its core +analysis functions and is useful for iterative and automated execution. +There are two executables: megacc and megaproto. Start with megaproto +which is used to create a MEGA Analysis Options (.mao) file that +specifies the analysis to run as well as relevant options. Then you call +megacc from a command shell and pass the .mao filename and input data +filenames as parameters. For example: + +megacc -a myMaoFile.mao -d mySequenceAlignment.fas -o myOutput + +To get started, checkout MEGA7-CC-User-Manual.pdf, found in the +documentation folder of the installed package. + +This SlackBuild just repackages the binaries provided from upstream. +There are no 32bit executables. + + +NOTE! IMPORTANT! + +MEGA-CC is not free software. Your use of MEGA-CC is subject to the +licence agreement at: + + http://www.megasoftware.net/show_eua + +SlackBuilds.org thanks Prof. Kumar for permission to use the direct +download URL. + + +Citing: + +MEGA7: Molecular Evolutionary Genetics Analysis version 7.0 for bigger +datasets (Kumar, Stecher, and Tamura 2015). |