Literature DB >> 21546353

MEGA5: molecular evolutionary genetics analysis using maximum likelihood, evolutionary distance, and maximum parsimony methods.

Koichiro Tamura1, Daniel Peterson, Nicholas Peterson, Glen Stecher, Masatoshi Nei, Sudhir Kumar.   

Abstract

Comparative analysis of molecular sequence data is essential for reconstructing the evolutionary histories of species and inferring the nature and extent of selective forces shaping the evolution of genes and species. Here, we announce the release of Molecular Evolutionary Genetics Analysis version 5 (MEGA5), which is a user-friendly software for mining online databases, building sequence alignments and phylogenetic trees, and using methods of evolutionary bioinformatics in basic biology, biomedicine, and evolution. The newest addition in MEGA5 is a collection of maximum likelihood (ML) analyses for inferring evolutionary trees, selecting best-fit substitution models (nucleotide or amino acid), inferring ancestral states and sequences (along with probabilities), and estimating evolutionary rates site-by-site. In computer simulation analyses, ML tree inference algorithms in MEGA5 compared favorably with other software packages in terms of computational efficiency and the accuracy of the estimates of phylogenetic trees, substitution parameters, and rate variation among sites. The MEGA user interface has now been enhanced to be activity driven to make it easier for the use of both beginners and experienced scientists. This version of MEGA is intended for the Windows platform, and it has been configured for effective use on Mac OS X and Linux desktops. It is available free of charge from http://www.megasoftware.net.

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Year:  2011        PMID: 21546353      PMCID: PMC3203626          DOI: 10.1093/molbev/msr121

Source DB:  PubMed          Journal:  Mol Biol Evol        ISSN: 0737-4038            Impact factor:   16.240


  33 in total

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Journal:  Mol Biol Evol       Date:  1997-07       Impact factor: 16.240

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Journal:  Mol Biol Evol       Date:  1995-09       Impact factor: 16.240

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Authors:  Z Yang
Journal:  J Mol Evol       Date:  1994-09       Impact factor: 2.395

10.  MEGA: Molecular Evolutionary Genetics Analysis software for microcomputers.

Authors:  S Kumar; K Tamura; M Nei
Journal:  Comput Appl Biosci       Date:  1994-04
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Journal:  Virus Genes       Date:  2012-06-05       Impact factor: 2.332

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Journal:  J Virol       Date:  2018-01-30       Impact factor: 5.103

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Journal:  Am J Trop Med Hyg       Date:  2017-11-30       Impact factor: 2.345

8.  Phenotypic and molecular characterisation of Sporothrix globosa of diverse origin from India.

Authors:  Shivaprakash M Rudramurthy; Shamanth A Shankarnarayan; Basavaraj M Hemashetter; Santwana Verma; Smriti Chauhan; Reema Nath; Jayanthi Savio; Malini Capoor; Harsimran Kaur; Anup K Ghosh; Arunaloke Chakrabarti
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10.  Identification and functional characterization of nonmammalian Toll-like receptor 20.

Authors:  Danilo Pietretti; Marleen Scheer; Inge R Fink; Nico Taverne; Huub F J Savelkoul; Herman P Spaink; Maria Forlenza; Geert F Wiegertjes
Journal:  Immunogenetics       Date:  2013-12-11       Impact factor: 2.846

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