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PMID: 22923298 Published · ppublish English Journal Article Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov't

MEGA-CC: computing core of molecular evolutionary genetics analysis program for automated and iterative data analysis.

Bioinformatics (Oxford, England) ·Vol. 28 ·No. 20 ·2012-10-15 ·Pages 2685-6

Kumar S, Stecher G, Peterson D, Tamura K

Abstract

There is a growing need in the research community to apply the molecular evolutionary genetics analysis (MEGA) software tool for batch processing a large number of datasets and to integrate it into analysis workflows. Therefore, we now make available the computing core of the MEGA software as a stand-alone executable (MEGA-CC), along with an analysis prototyper (MEGA-Proto). MEGA-CC provides users with access to all the computational analyses available through MEGA's graphical user interface version. This includes methods for multiple sequence alignment, substitution model selection, evolutionary distance estimation, phylogeny inference, substitution rate and pattern estimation, tests of natural selection and ancestral sequence inference. Additionally, we have upgraded the source code for phylogenetic analysis using the maximum likelihood methods for parallel execution on multiple processors and cores. Here, we describe MEGA-CC and outline the steps for using MEGA-CC in tandem with MEGA-Proto for iterative and automated data analysis. http://www.megasoftware.net/.

MeSH Terms
Evolution, Molecular Likelihood Functions Phylogeny Sequence Alignment Sequence Analysis, DNA Software
Authors & Affiliations
4 authors, click to expand affiliations / ORCID
Kumar Sudhir
Center for Evolutionary Medicine and Informatics, Biodesign Institute, Arizona State University (ASU), Tempe, AZ 85287-5301, USA.
Stecher Glen
Peterson Daniel
Tamura Koichiro
References (3)
3 references, click to expand
  1. RAxML-VI-HPC: maximum likelihood-based phylogenetic analyses with thousands of taxa and mixed models.
    Bioinformatics. 2006 Nov 1;22(21):2688-90 PMID: 16928733
  2. MEGA: a biologist-centric software for evolutionary analysis of DNA and protein sequences.
    Brief Bioinform. 2008 Jul;9(4):299-306 PMID: 18417537
  3. MEGA5: molecular evolutionary genetics analysis using maximum likelihood, evolutionary distance, and maximum parsimony methods.
    Mol Biol Evol. 2011 Oct;28(10):2731-9 PMID: 21546353
Article Info
Journal
Bioinformatics (Oxford, England)
Abbr.
Bioinformatics
ISSN
1367-4811
Published
2012-10-15
Epub
2012-00-24
Pages
2685-6
Language
English
Region
England
NLM ID
9808944
PMCID
PMC3467750
Subset
IM
Grants
NIGMS NIH HHS · R01 GM081066 · United States
NHGRI NIH HHS · R01 HG002096 · United States
NHGRI NIH HHS · HG002096-11 · United States
NIGMS NIH HHS · GM081066-04 · United States
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