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  1. MEGA is an integrated tool for conducting automatic and manual sequence alignment, inferring phylogenetic trees, mining web-based databases, estimating rates of molecular evolution, and testing evolutionary hypotheses.

    • Instructional Videos

      Tutorials. Below are links to online video lectures and...

    • Features

      MEGA is an integrated tool for conducting automatic and...

    • Older Versions

      By downloading MEGA, you are agreeing not to redistribute...

    • Documentation

      Help docs and user manuals for the MEGA genetics analysis...

    • feedback

      Report bugs or other issues regarding the MEGA software

    • walk through

      MEGAX-Help % End of search results.

    • books / articles

      Molecular Evolution and Phylogenetics . Nei M, Kumar S...

    • Examples

      Example files from the book, Molecular Evolution and...

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  3. MEGA (Molecular Evolutionary Genetics Analysis) is a software tool package for analyzing and visualizing molecular evolution. The MEGA package includes a large variety of analysis methods, such as editing of aligned sequence data, construction of time trees, divergence estimation, computation of confidence intervals to calibrate parameters for ...

  4. www.megasoftware.net › dload_win_betaDownloads - MEGA

    Download the MEGA genetics analysis software.

  5. MEGA is an integrated tool for conducting automatic and manual sequence alignment, inferring phylogenetic trees, mining web-based databases, estimating rates of molecular evolution, and testing evolutionary hypotheses. MEGA 4 has been tested on the following Microsoft Windows® operating systems:

  6. Molecular Evolutionary Genetics Analysis (MEGA) is computer software for conducting statistical analysis of molecular evolution and for constructing phylogenetic trees. It includes many sophisticated methods and tools for phylogenomics and phylomedicine.

  7. MEGA (Molecular Evolutionary Genetics Analysis)is an integrated tool for automatic and manual sequence alignment, inferring phylogenetic trees, mining web-based databases, estimating rates of molecular evolution, and testing evolutionary hypotheses.

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