G
Glen Stecher
Researcher at Temple University
Publications - 10
Citations - 165495
Glen Stecher is an academic researcher from Temple University. The author has contributed to research in topics: Mega- & Software. The author has an hindex of 8, co-authored 9 publications receiving 140721 citations. Previous affiliations of Glen Stecher include Arizona State University & King Abdulaziz University.
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MEGA5: Molecular Evolutionary Genetics Analysis using Maximum Likelihood, Evolutionary Distance, and Maximum Parsimony Methods
Koichiro Tamura,Daniel S. Peterson,Nicholas Peterson,Glen Stecher,Masatoshi Nei,Sudhir Kumar +5 more
TL;DR: 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.
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MEGA6: Molecular Evolutionary Genetics Analysis Version 6.0
TL;DR: 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.
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MEGA7: Molecular Evolutionary Genetics Analysis version 7.0 for bigger datasets
TL;DR: 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.
Brief Communication MEGA6: Molecular Evolutionary Genetics Analysis Version 6.0
TL;DR: The Molecular Evolutionary Genetics Analysis (MEGA) software as discussed by the authors provides facilities for building sequence alignments, inferring phylogenetic histories, and conducting molecular evolutionary analysis, including the inference of timetrees.
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MEGA X: Molecular Evolutionary Genetics Analysis across Computing Platforms.
TL;DR: 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.