MEGA5: molecular evolutionary genetics analysis using maximum likelihood, evolutionary distance, and maximum parsimony methods.
- K. Tamura, D. Peterson, N. Peterson, G. Stecher, M. Nei, Sudhir Kumar
- BiologyMolecular biology and evolution
- 1 October 2011
The newest addition in MEGA5 is a collection of maximum likelihood (ML) analyses for inferring evolutionary trees, selecting best-fit substitution models, inferring ancestral states and sequences, and estimating evolutionary rates site-by-site.
MEGA4: Molecular Evolutionary Genetics Analysis (MEGA) software version 4.0.
- K. Tamura, J. Dudley, M. Nei, Sudhir Kumar
- BiologyMolecular biology and evolution
- 1 August 2007
Version 4 of MEGA software 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.
MEGA6: Molecular Evolutionary Genetics Analysis version 6.0.
- K. Tamura, G. Stecher, D. Peterson, A. Filipski, Sudhir Kumar
- BiologyMolecular biology and evolution
- 1 December 2013
An advanced version of the Molecular Evolutionary Genetics Analysis software, which currently contains facilities for building sequence alignments, inferring phylogenetic histories, and conducting molecular evolutionary analysis, is released, which enables the inference of timetrees, as it implements the RelTime method for estimating divergence times for all branching points in a phylogeny.
MEGA7: Molecular Evolutionary Genetics Analysis Version 7.0 for Bigger Datasets.
- Sudhir Kumar, G. Stecher, K. Tamura
- Computer Science, BiologyMolecular biology and evolution
- 22 March 2016
The latest version of the Molecular Evolutionary Genetics Analysis (Mega) software, which contains many sophisticated methods and tools for phylogenomics and phylomedicine, has been optimized for use on 64-bit computing systems for analyzing larger datasets.
MEGA3: Integrated software for Molecular Evolutionary Genetics Analysis and sequence alignment
- Sudhir Kumar, K. Tamura, M. Nei
- BiologyBriefings Bioinform.
- 1 June 2004
An overview of the statistical methods, computational tools, and visual exploration modules for data input and the results obtainable in MEGA is provided.
MEGA2: molecular evolutionary genetics analysis software
- Sudhir Kumar, K. Tamura, I. Jakobsen, M. Nei
- Biology, Computer ScienceBioinform.
- 1 December 2001
MEGA2 vastly extends the capabilities of MEGA version 1 by facilitating analyses of large datasets, enabling creation and analyses of groups of sequences, and expanding the repertoire of statistical methods for molecular evolutionary studies.
MEGA X: Molecular Evolutionary Genetics Analysis across Computing Platforms.
- Sudhir Kumar, G. Stecher, Michael Li, Christina Knyaz, K. Tamura
- Biology, Computer ScienceMolecular biology and evolution
- 1 June 2018
The Molecular Evolutionary Genetics Analysis (Mega) software implements many analytical methods and tools for phylogenomics and phylomedicine and has additionally been upgraded to use multiple computing cores for many molecular evolutionary analyses.
MEGA: A biologist-centric software for evolutionary analysis of DNA and protein sequences
- Sudhir Kumar, M. Nei, J. Dudley, K. Tamura
- BiologyBriefings Bioinform.
- 1 July 2008
The motivation, design principles and priorities that have shaped the development of MEGA are discussed and how MEGA might evolve in the future to assist researchers in their growing need to analyze large data set using new computational methods are discussed.
Molecular Evolutionary Genetics Analysis
- K. Tamura, J. Dudley, M. Nei, Sudhir Kumar
- Biology
- 2007
An advanced version of the Molecular Evolutionary Genetics Analysis (MEGA) software, which currently contains facilities for building sequence alignments, inferring phylogenetic histories, and conducting molecular evolutionary analysis, is released, which enables the inference of timetrees.
Evolutionary Genetics Analysis Version 6 . 0
- K. Tamura, G. Stecher, D. Peterson, A. Filipski, Sudhir Kumar
- Biology
- 2013
An advanced version of the Molecular Evolutionary Genetics Analysis software, which currently contains facilities for building sequence alignments, inferring phylogenetic histories, and conducting molecular evolutionary analysis, now enables the inference of timetrees, as it implements the RelTime method for estimating divergence times for all branching points in a phylogeny.
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