News Help Institutional access
Back to results
Bibliographic record · Consultation and access
Artículo

MEGA7: Molecular Evolutionary Genetics Analysis Version 7.0 for Bigger Datasets

Sudhir Kumar; Glen Stecher; Koichiro Tamura · Molecular Biology and Evolution · 2016

Supplementary material available
Quick overview. Review the resource’s basic details, then access the content using the main button. This page shows only the information needed to identify, cite, and open the work.
Author / responsible party
Sudhir Kumar; Glen Stecher; Koichiro Tamura
Publisher
Molecular Biology and Evolution
Year
2016
Language
English

Resource access

Open the content from the main option or choose another available source.

OpenAlex OpenAlex Works
Entrar por OpenAlex
Main access

Supplementary material available

El enlace apunta a material asociado, anexos, tablas, datos o página complementaria. No se marca como libro/texto completo.
Open material

Summary

Descripción general del contenido del recurso.

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.

How to cite

Elegí el formato que necesitás y copiá la referencia al portapapeles.

APA 7

Kumar, S, Stecher, G, & Tamura, K. (2016). MEGA7: Molecular Evolutionary Genetics Analysis Version 7.0 for Bigger Datasets. https://doi.org/10.1093/molbev/msw054

MLA

Kumar, Sudhir, et al. "MEGA7: Molecular Evolutionary Genetics Analysis Version 7.0 for Bigger Datasets." 2016. https://doi.org/10.1093/molbev/msw054.

Chicago

Kumar, Sudhir, Glen Stecher, and Koichiro Tamura. 2016. "MEGA7: Molecular Evolutionary Genetics Analysis Version 7.0 for Bigger Datasets.". https://doi.org/10.1093/molbev/msw054.

Harvard

Kumar, S, Stecher, G. and Tamura, K. 2016, MEGA7: Molecular Evolutionary Genetics Analysis Version 7.0 for Bigger Datasets, Molecular Biology and Evolution, available at: https://doi.org/10.1093/molbev/msw054 [Accessed 5 Aug. 2026].

Share and print

Save the record, copy its permanent link, or print it as a PDF.

Export reference

You can export the record in common formats for use in a reference manager.

RIS BibTeX

Resource details

Bibliographic information to help confirm that this is the correct material.

Title
MEGA7: Molecular Evolutionary Genetics Analysis Version 7.0 for Bigger Datasets
Author / contributors
Sudhir Kumar; Glen Stecher; Koichiro Tamura
Publisher
Molecular Biology and Evolution
Publication year
2016
Language
English

Subjects

Explore related resources through these subjects.

Biology; Human evolutionary genetics; Evolutionary biology; Computational biology; Molecular evolution; Genetics; Phylogenetics; Gene
Copied