Access the full text.
Sign up today, get DeepDyve free for 14 days.
D. Higgins, J. Thompson, T. Gibson (1996)
Using CLUSTAL for multiple sequence alignments.Methods in enzymology, 266
Sudhir Kumar, K. Tamura, I. Jakobsen, M. Nei (2001)
MEGA2: molecular evolutionary genetics analysis softwareBioinformatics, 17 12
K. Tamura, J. Dudley, M. Nei, Sudhir Kumar (2007)
MEGA4: Molecular Evolutionary Genetics Analysis (MEGA) software version 4.0.Molecular biology and evolution, 24 8
Sudhir Kumar, J. Dudley (2007)
Bioinformatics software for biologists in the genomics eraBioinformatics, 23 14
N. Saitou, M. Nei (1987)
The neighbor-joining method: a new method for reconstructing phylogenetic trees.Molecular biology and evolution, 4 4
M. Nei (1987)
Molecular Evolutionary Genetics
(1990)
PAUP: Phylogenetic Analysis Using Maximum Parsimony
Sudhir Kumar, K. Tamura, M. Nei (1994)
MEGA: Molecular Evolutionary Genetics Analysis software for microcomputersComputer applications in the biosciences : CABIOS, 10 2
N. Takezaki, A. Rzhetsky, M. Nei (1995)
Phylogenetic test of the molecular clock and linearized trees.Molecular biology and evolution, 12 5
(1990)
Phylogenetic Analysis Using Maximum Parsimony. Illinois: Illinois Natural History Survey Champaign
Sudhir Kumar, K. Tamura, M. Nei (2004)
MEGA3: Integrated software for Molecular Evolutionary Genetics Analysis and sequence alignmentBriefings in bioinformatics, 5 2
A. Oskooi (2008)
Molecular Evolution and Phylogenetics
(2004)
Inferring phylogenies
(1993)
PHYLIP: Phylogenetic Inference Package
Derrick Zwickl (2008)
:Phylogenetic Trees Made Easy: A How-To ManualThe Quarterly Review of Biology
The Molecular Evolutionary Genetics Analysis (MEGA) software is a desktop application designed for comparative analysis of homologous gene sequences either from multigene families or from different species with a special emphasis on inferring evolutionary relationships and patterns of DNA and protein evolution. In addition to the tools for statistical analysis of data, MEGA provides many convenient facilities for the assembly of sequence data sets from files or web-based repositories, and it includes tools for visual presentation of the results obtained in the form of interactive phylogenetic trees and evolutionary distance matrices. Here we discuss the motivation, design principles and priorities that have shaped the development of MEGA. We also discuss how MEGA might evolve in the future to assist researchers in their growing need to analyze large data set using new computational methods.
Briefings in Bioinformatics – Oxford University Press
Published: Jul 16, 2008
Keywords: phylogenetics genome evolution software
Read and print from thousands of top scholarly journals.
Already have an account? Log in
Bookmark this article. You can see your Bookmarks on your DeepDyve Library.
To save an article, log in first, or sign up for a DeepDyve account if you don’t already have one.
Copy and paste the desired citation format or use the link below to download a file formatted for EndNote
Access the full text.
Sign up today, get DeepDyve free for 14 days.
All DeepDyve websites use cookies to improve your online experience. They were placed on your computer when you launched this website. You can change your cookie settings through your browser.