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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 11 (64-bit) (for Windows) MEGA is provided FREE for use in research and education (see terms below) To download MEGA, please fill in the information requested below about how and where MEGA is used.
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.
Below are links to online video lectures and tutorials for multiple versions of MEGA. The first section of videos were created by members of Dr. Sudhir Kumar's lab at the Institute for Genomics and Evolutionary Medicine ( iGEM) at Temple University.
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.
The objective of the MEGA software has been to provide tools for exploring, discovering, and analyzing DNA and protein sequences from an evolutionary perspective.
Apr 23, 2021 · The Molecular Evolutionary Genetics Analysis (MEGA) software has continuously grown to meet the need for sophisticated evolutionary analysis to discover organismal and genome evolutionary patterns and processes.
MEGA X advances MEGA for cross-platform distribution. In addition to MS Windows, MEGA X now runs natively on Linux systems. Additionally, MEGA X has advanced performance capabilities for bootstrap tree construction and model selection.
Help docs and user manuals for the MEGA genetics analysis software.
We present the latest version of the Molecular Evolutionary Genetics Analysis (Mega) software, which contains many sophisticated methods and tools for phylogenomics and phylomedicine. In this major upgrade, Mega has been optimized for use on 64-bit computing systems for analyzing larger datasets.
