Open Access
Molecular Biology and Evolution, volume 33, issue 7, pages 1870-1874
MEGA7: Molecular Evolutionary Genetics Analysis Version 7.0 for Bigger Datasets
2
Institute for Genomics and Evolutionary Medicine, Temple University
|
3
Research Center for Genomics and Bioinformatics, Tokyo Metropolitan University, Hachioji, Tokyo, Japan Department of Biological Sciences, Tokyo Metropolitan University, Hachioji, Tokyo, Japan
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Publication type: Journal Article
Publication date: 2016-03-22
Journal:
Molecular Biology and Evolution
Quartile SCImago
Q1
Quartile WOS
Q1
Impact factor: 10.7
ISSN: 07374038, 15371719
PubMed ID:
27004904
Molecular Biology
Genetics
Ecology, Evolution, Behavior and Systematics
Abstract
We present the latest version of the Molecular Evolutionary Genetics Analysis (Mega) software, which contains many sophisticated methods and tools for phylogenomics and phylomedicine. In this major upgrade, Mega has been optimized for use on 64-bit computing systems for analyzing larger datasets. Researchers can now explore and analyze tens of thousands of sequences in Mega The new version also provides an advanced wizard for building timetrees and includes a new functionality to automatically predict gene duplication events in gene family trees. The 64-bit Mega is made available in two interfaces: graphical and command line. The graphical user interface (GUI) is a native Microsoft Windows application that can also be used on Mac OS X. The command line Mega is available as native applications for Windows, Linux, and Mac OS X. They are intended for use in high-throughput and scripted analysis. Both versions are available from www.megasoftware.net free of charge.
Citations by journals
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International Journal of Systematic and Evolutionary Microbiology
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PeerJ
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365 publications, 1.13%
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Viruses
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299 publications, 0.92%
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Microorganisms
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285 publications, 0.88%
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Archives of Virology
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280 publications, 0.87%
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268 publications, 0.83%
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261 publications, 0.81%
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Plants
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240 publications, 0.74%
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228 publications, 0.7%
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BMC Plant Biology
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Molecular Phylogenetics and Evolution
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Current Microbiology
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195 publications, 0.6%
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Parasitology Research
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189 publications, 0.58%
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Frontiers in Genetics
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177 publications, 0.55%
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Parasites and Vectors
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161 publications, 0.5%
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Gene
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Gene
160 publications, 0.49%
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Transboundary and Emerging Diseases
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Transboundary and Emerging Diseases
156 publications, 0.48%
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Citations by publishers
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Springer Nature
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Springer Nature
7045 publications, 21.78%
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Elsevier
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Elsevier
5042 publications, 15.58%
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Multidisciplinary Digital Publishing Institute (MDPI)
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Multidisciplinary Digital Publishing Institute (MDPI)
3068 publications, 9.48%
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Wiley
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Wiley
2533 publications, 7.83%
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Frontiers Media S.A.
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Frontiers Media S.A.
1893 publications, 5.85%
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Taylor & Francis
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Taylor & Francis
1786 publications, 5.52%
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Microbiology Society
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1655 publications, 5.12%
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Oxford University Press
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Oxford University Press
892 publications, 2.76%
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Public Library of Science (PLoS)
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Public Library of Science (PLoS)
771 publications, 2.38%
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American Society for Microbiology
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American Society for Microbiology
603 publications, 1.86%
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Magnolia Press
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Magnolia Press
527 publications, 1.63%
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Pensoft Publishers
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Pensoft Publishers
523 publications, 1.62%
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PeerJ
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PeerJ
366 publications, 1.13%
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American Phytopathological Society
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321 publications, 0.99%
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Cambridge University Press
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208 publications, 0.64%
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152 publications, 0.47%
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American Chemical Society (ACS)
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American Chemical Society (ACS)
136 publications, 0.42%
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Hindawi Limited
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Hindawi Limited
97 publications, 0.3%
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Han-Gug Misaengmul Hag-hoe/The Microbiological Society of Korea
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Han-Gug Misaengmul Hag-hoe/The Microbiological Society of Korea, 91, 0.28%
Han-Gug Misaengmul Hag-hoe/The Microbiological Society of Korea
91 publications, 0.28%
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CSIRO Publishing
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CSIRO Publishing
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Walter de Gruyter
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Walter de Gruyter
83 publications, 0.26%
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Korean Society of Mycology
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Korean Society of Mycology, 73, 0.23%
Korean Society of Mycology
73 publications, 0.23%
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American Society of Plant Biologists
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American Society of Plant Biologists
66 publications, 0.2%
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KeAi Communications Co.
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KeAi Communications Co.
65 publications, 0.2%
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Canadian Science Publishing
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Canadian Science Publishing
63 publications, 0.19%
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SAGE
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SAGE
53 publications, 0.16%
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Proceedings of the National Academy of Sciences (PNAS)
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Proceedings of the National Academy of Sciences (PNAS)
52 publications, 0.16%
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King Saud University
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King Saud University
51 publications, 0.16%
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- We do not take into account publications that without a DOI.
- Statistics recalculated only for publications connected to researchers, organizations and labs registered on the platform.
- Statistics recalculated weekly.
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Kumar S., Stecher G., TAMURA K. MEGA7: Molecular Evolutionary Genetics Analysis Version 7.0 for Bigger Datasets // Molecular Biology and Evolution. 2016. Vol. 33. No. 7. pp. 1870-1874.
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Kumar S., Stecher G., TAMURA K. MEGA7: Molecular Evolutionary Genetics Analysis Version 7.0 for Bigger Datasets // Molecular Biology and Evolution. 2016. Vol. 33. No. 7. pp. 1870-1874.
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TY - JOUR
DO - 10.1093/molbev/msw054
UR - https://doi.org/10.1093%2Fmolbev%2Fmsw054
TI - MEGA7: Molecular Evolutionary Genetics Analysis Version 7.0 for Bigger Datasets
T2 - Molecular Biology and Evolution
AU - Kumar, Sudhir
AU - Stecher, Glen
AU - TAMURA, KOICHIRO
PY - 2016
DA - 2016/03/22 00:00:00
PB - Oxford University Press
SP - 1870-1874
IS - 7
VL - 33
PMID - 27004904
SN - 0737-4038
SN - 1537-1719
ER -
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@article{2016_Kumar,
author = {Sudhir Kumar and Glen Stecher and KOICHIRO TAMURA},
title = {MEGA7: Molecular Evolutionary Genetics Analysis Version 7.0 for Bigger Datasets},
journal = {Molecular Biology and Evolution},
year = {2016},
volume = {33},
publisher = {Oxford University Press},
month = {mar},
url = {https://doi.org/10.1093%2Fmolbev%2Fmsw054},
number = {7},
pages = {1870--1874},
doi = {10.1093/molbev/msw054}
}
Cite this
MLA
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Kumar, Sudhir, et al. “MEGA7: Molecular Evolutionary Genetics Analysis Version 7.0 for Bigger Datasets.” Molecular Biology and Evolution, vol. 33, no. 7, Mar. 2016, pp. 1870-1874. https://doi.org/10.1093%2Fmolbev%2Fmsw054.