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- 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).
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