mirror of
https://github.com/Ponce/slackbuilds
synced 2024-11-16 19:50:19 +01:00
258eaf03ea
Signed-off-by: bedlam <dave@slackbuilds.org> Signed-off-by: Willy Sudiarto Raharjo <willysr@slackbuilds.org> |
||
---|---|---|
.. | ||
doinst.sh | ||
megax.desktop | ||
megax.info | ||
megax.SlackBuild | ||
README | ||
References | ||
slack-desc |
MEGA: Molecular Evolutionary Genetics Analysis Sophisticated and user-friendly software suite for analyzing DNA and protein sequence data from species and populations. MEGA can be used with either a graphical user interface, useful for visual exploration of data and results or a command-line interface (useful for batch or scripted execution). MEGA X MEGA X is the GUI graphical user interface of MEGA and can be run in one of two modes. The first mode is the "Analyze mode" in which all GUI tools in MEGA are enabled and visual results explorers are available for tasks such as editing sequence alignments and viewing phylogenies. This is the mode that most MEGA users are familiar with. The second mode is the Prototype mode which is used solely for generating MEGA Analysis Options (.mao) files that specify analysis settings when using MEGA from a command shell (megacc). In the MEGA main form, click the Prototype button and then specify the type of input data that will be used for analysis. MEGA CC The command-line version of MEGA is 'megacc', that implements its core analysis functions and is useful for iterative and automated execution. The megacc command requires several options, including the path to a .mao file and paths to input data file(s) to be analyzed. For example: $ megacc -a myMaoFile.mao -d mySequenceAlignment.fas -o myOutput Note 1. Upon start, MEGA X will create an examples folder with the same name in your user's home. This is a good place to start if you are not familiar with MEGA. Note 2. This SlackBuild just repackages the binaries for Debian, provided from upstream. The RedHat packages, currently, do not have 32bit version. Note 3. IMPORTANT! SlackBuilds.org thanks Prof. Kumar for permission to use the direct download URL. MEGA is not free software. Your use is subject to the licence agreement at: http://www.megasoftware.net/show_eua Citing: MEGA7: Molecular Evolutionary Genetics Analysis version 7.0 for bigger datasets (Kumar, Stecher, and Tamura 2015).