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PMID: 17488738 Published · ppublish English Journal Article Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov't

MEGA4: Molecular Evolutionary Genetics Analysis (MEGA) software version 4.0.

Molecular biology and evolution ·Vol. 24 ·No. 8 ·2007-08-00 ·Pages 1596-9

Tamura K, Dudley J, Nei M, Kumar S

Abstract

We announce the release of the fourth version of MEGA software, which expands on the existing facilities for editing DNA sequence data from autosequencers, mining Web-databases, performing automatic and manual sequence alignment, analyzing sequence alignments to estimate evolutionary distances, inferring phylogenetic trees, and testing evolutionary hypotheses. Version 4 includes a unique facility to generate captions, written in figure legend format, in order to provide natural language descriptions of the models and methods used in the analyses. This facility aims to promote a better understanding of the underlying assumptions used in analyses, and of the results generated. Another new feature is the Maximum Composite Likelihood (MCL) method for estimating evolutionary distances between all pairs of sequences simultaneously, with and without incorporating rate variation among sites and substitution pattern heterogeneities among lineages. This MCL method also can be used to estimate transition/transversion bias and nucleotide substitution pattern without knowledge of the phylogenetic tree. This new version is a native 32-bit Windows application with multi-threading and multi-user supports, and it is also available to run in a Linux desktop environment (via the Wine compatibility layer) and on Intel-based Macintosh computers under the Parallels program. The current version of MEGA is available free of charge at (http://www.megasoftware.net).

MeSH Terms
Databases, Genetic Evolution, Molecular Internet Phylogeny Sequence Alignment/methods Sequence Analysis, DNA Sequence Analysis, Protein Software
Authors & Affiliations
4 authors, click to expand affiliations / ORCID
Tamura Koichiro
Center for Evolutionary Functional Genomics, The Biodesign Institute, Arizona State University, AZ, USA.
Dudley Joel
Nei Masatoshi
Kumar Sudhir
Article Info
Journal
Molecular biology and evolution
Abbr.
Mol Biol Evol
ISSN
0737-4038
Published
2007-08-00
Epub
2007-00-07
Pages
1596-9
Language
English
Region
United States
NLM ID
8501455
Subset
IM
Analysis Services
Analysis Services

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