diff options
| author | Petar Petrov <slackalaxy@gmail.com> | 2018-07-13 23:17:29 +0100 |
|---|---|---|
| committer | David Spencer <idlemoor@slackbuilds.org> | 2018-07-13 23:17:49 +0100 |
| commit | ee0cf21841b2a71ce334159c3e275475d7a75bb8 (patch) | |
| tree | bcbfdd8d24b7ef6ece47ec61d9f5c2dac0040219 /academic/megacc/README | |
| parent | 678b09e63cc6588808f18215c870ff688038843c (diff) | |
academic/megacc: Removed (see megax).
The new megax SlackBuild includes megacc.
Signed-off-by: David Spencer <idlemoor@slackbuilds.org>
Diffstat (limited to 'academic/megacc/README')
| -rw-r--r-- | academic/megacc/README | 37 |
1 files changed, 0 insertions, 37 deletions
diff --git a/academic/megacc/README b/academic/megacc/README deleted file mode 100644 index ccb0a7bdf6..0000000000 --- a/academic/megacc/README +++ /dev/null @@ -1,37 +0,0 @@ -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). |