The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
MEGA7: Molecular Evolutionary Genetics Analysis Version 7.0 for Bigger Datasets
Open accessAbstract
We present the latest version of the Molecular Evolutionary Genetics Analysis (M ega ) software, which contains many sophisticated methods and tools for phylogenomics and phylomedicine. In this major upgrade, M ega 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 M ega . 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 M ega 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 M ega 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.
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Quast, C., Pruesse, E., Yilmaz, P., Gerken, J., Schweer, T., Yarza, P., Peplies, J., & Glöckner, F. O. (2012) · Nucleic Acids Research · doi:10.1093/nar/gks1219 · Cited by 33,055
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Metadata
- Authors
- Kumar, S., Stecher, G., & Tamura, K.
- Venue
- Molecular Biology and Evolution
- Publisher
- Oxford University Press (OUP)
- Published
- 2016-03-22
- Volume
- 33
- Issue
- 7
- Pages
- 1870-1874
- ISSN
- 0737-4038 (ISSN-L)
- 1537-1719
- OpenAlex
- W2311203695
- Cited by
- 44,059
- References
- 1
- FWCI
- 2215.16
- Type
- journal article
- Language
- en
- Open access
- bronze
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