MEGA2: molecular evolutionary genetics analysis software

Abstract

Abstract Summary: We have developed a new software package, Molecular Evolutionary Genetics Analysis version 2 (MEGA2), for exploring and analyzing aligned DNA or protein sequences from an evolutionary perspective. MEGA2 vastly extends the capabilities of MEGA version 1 by: (1) facilitating analyses of large datasets; (2) enabling creation and analyses of groups of sequences; (3) enabling specification of domains and genes; (4) expanding the repertoire of statistical methods for molecular evolutionary studies; and (5) adding new modules for visual representation of input data and output results on the Microsoft Windows platform. Availability: http://www.megasoftware.net. Contact: s.kumar@asu.edu * To whom correspondence should be addressed.

Keywords

Computer scienceSoftwareMega-Human evolutionary geneticsRepresentation (politics)Perspective (graphical)Computational biologyBiologyGeneticsProgramming languageGenePhylogeneticsArtificial intelligence

Affiliated Institutions

Related Publications

MEGA X: Molecular Evolutionary Genetics Analysis across Computing Platforms

Sudhir Kumar , Glen Stecher , Michael Li +2 more

The Molecular Evolutionary Genetics Analysis (Mega) software implements many analytical methods and tools for phylogenomics and phylomedicine. Here, we report a transformation o...

2018 Molecular Biology and Evolution 36395 citations

MEGA11: Molecular Evolutionary Genetics Analysis Version 11

Koichiro Tamura , Glen Stecher , Sudhir Kumar

Abstract The Molecular Evolutionary Genetics Analysis (MEGA) software has matured to contain a large collection of methods and tools of computational molecular evolution. Here, ...

2021 Molecular Biology and Evolution 19130 citations

The CLUSTAL_X windows interface: flexible strategies for multiple sequence alignment aided by quality analysis tools

Julie Thompson , Toby J. Gibson , Frédéric Plewniak +2 more

CLUSTAL X is a new windows interface for the widely-used progressive multiple sequence alignment program CLUSTAL W. The new system is easy to use, providing an integrated system...

1997 Nucleic Acids Research 38996 citations

KEGG: integrating viruses and cellular organisms

Minoru Kanehisa , Miho Furumichi , Yoko Sato +2 more

Abstract KEGG (https://www.kegg.jp/) is a manually curated resource integrating eighteen databases categorized into systems, genomic, chemical and health information. It also pr...

2020 Nucleic Acids Research 4309 citations

A Bayesian Phylogenetic Method to Estimate Unknown Sequence Ages

Beth Shapiro , Simon Y. W. Ho , Alexei J. Drummond +3 more

Heterochronous data sets comprise molecular sequences sampled at different points in time. If the temporal range of the sampled sequences is large relative to the rate of mutati...

2010 Molecular Biology and Evolution 131 citations

Publication Info

Year: 2001
Type: article
Volume: 17
Issue: 12
Pages: 1244-1245
Citations: 6122
Access: Closed

External Links

View on DOI.org

Social Impact

Altmetric

MEGA2: molecular evolutionary genetics analysis software

PlumX Metrics

Social media, news, blog, policy document mentions

Citation Metrics

6122

OpenAlex

Cite This

APA Style

                            
                                
                                    Sudhir Kumar, 
                                
                                    Koichiro Tamura, 
                                
                                    Ingrid B. Jakobsen
                                
                                et al.
                            
                            (2001). 
                            MEGA2: molecular evolutionary genetics analysis software. 
                            Bioinformatics
                            , 17
                            (12)
                            , 1244-1245.
                            https://doi.org/10.1093/bioinformatics/17.12.1244
                        

Identifiers

DOI: 10.1093/bioinformatics/17.12.1244