README 2.0 KB

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  1. MEGA: Molecular Evolutionary Genetics Analysis
  2. Sophisticated and user-friendly software suite for analyzing DNA and
  3. protein sequence data from species and populations. MEGA can be used
  4. with either a graphical user interface, useful for visual exploration
  5. of data and results or a command-line interface (useful for batch or
  6. scripted execution).
  7. MEGA X
  8. MEGA X is the GUI graphical user interface of MEGA and can be run in
  9. one of two modes. The first mode is the "Analyze mode" in which all
  10. GUI tools in MEGA are enabled and visual results explorers are
  11. available for tasks such as editing sequence alignments and viewing
  12. phylogenies. This is the mode that most MEGA users are familiar with.
  13. The second mode is the Prototype mode which is used solely for
  14. generating MEGA Analysis Options (.mao) files that specify analysis
  15. settings when using MEGA from a command shell (megacc). In the MEGA
  16. main form, click the Prototype button and then specify the type of
  17. input data that will be used for analysis.
  18. MEGA CC
  19. The command-line version of MEGA is 'megacc', that implements its core
  20. analysis functions and is useful for iterative and automated execution.
  21. The megacc command requires several options, including the path to a
  22. .mao file and paths to input data file(s) to be analyzed. For example:
  23. $ megacc -a myMaoFile.mao -d mySequenceAlignment.fas -o myOutput
  24. Note 1.
  25. Upon start, MEGA X will create an examples folder with the same name
  26. in your user's home. This is a good place to start if you are not
  27. familiar with MEGA.
  28. Note 2.
  29. This SlackBuild just repackages the binaries for Debian, provided from
  30. upstream. The RedHat packages, currently, do not have 32bit version.
  31. Note 3. IMPORTANT!
  32. SlackBuilds.org thanks Prof. Kumar for permission to use the direct
  33. download URL. MEGA is not free software. Your use is subject to the
  34. licence agreement at:
  35. http://www.megasoftware.net/show_eua
  36. Citing:
  37. MEGA7: Molecular Evolutionary Genetics Analysis version 7.0 for bigger
  38. datasets (Kumar, Stecher, and Tamura 2015).