Sudhir Kumar

Publications301
h-index67
Citations201,366
Highly Influential Citations33,557
Claim Author Page
Author pages are created from data sourced from our academic publisher partnerships and public sources.

Recommended Authors

  • Ziheng Yang
  • 243 Publications • 49,464 Citations
  • K. Tamura
  • 107 Publications • 182,981 Citations
  • A. Rambaut
  • 384 Publications • 95,856 Citations
  • M. Nei
  • 328 Publications • 267,087 Citations
  • Publications
  • Influence
MEGA5: molecular evolutionary genetics analysis using maximum likelihood, evolutionary distance, and maximum parsimony methods.
TLDR
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.
View on PubMed
MEGA4: Molecular Evolutionary Genetics Analysis (MEGA) software version 4.0.
TLDR
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.
View on PubMed
MEGA6: Molecular Evolutionary Genetics Analysis version 6.0.
TLDR
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.
View on PubMed
MEGA7: Molecular Evolutionary Genetics Analysis Version 7.0 for Bigger Datasets.
TLDR
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.
View on PubMed
MEGA3: Integrated software for Molecular Evolutionary Genetics Analysis and sequence alignment
TLDR
An overview of the statistical methods, computational tools, and visual exploration modules for data input and the results obtainable in MEGA is provided.
View on PubMed
MEGA2: molecular evolutionary genetics analysis software
TLDR
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.
View on PubMed
MEGA X: Molecular Evolutionary Genetics Analysis across Computing Platforms.
TLDR
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.
View on PubMed
Molecular Evolutionary Genetics Analysis
MEGA: A biologist-centric software for evolutionary analysis of DNA and protein sequences
TLDR
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.
View on PubMed
Evolutionary Genetics Analysis Version 6 . 0
TLDR
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.
...
...