Molecular Evolutionary Genetics Analysis (MEGA) for macOS.

By Glen Stecher, Koichiro Tamura, Sudhir Kumar. Molecular biology and evolution, 2020

1,489 citations recorded by the source corpus.

The Molecular Evolutionary Genetics Analysis (MEGA) software enables comparative analysis of molecular sequences in phylogenetics and evolutionary medicine. Here, we introduce the macOS version of the MEGA software. This new version eliminates the need for virtualization and emulation programs previously required to use MEGA on Apple computers. MEGA for macOS utilizes memory and computing resources efficiently for conducting evolutionary analyses on Apple computers. It has a native Cocoa graphical user interface that is programmed to provide a consistent user experience across macOS, Windows, and Linux. MEGA for macOS is available from www.megasoftware.net free of charge.

Subfields: Artificial Intelligence, Genetics, Molecular Biology

View Paper: https://www.semanticscholar.org/paper/dc71a064b1ed3aeca3464bf1c15b4f6f7f533617

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Sudhir Kumar
2. Koichiro Tamura
3. Glen Stecher

In Genetics

1. Glen Stecher
2. Koichiro Tamura
3. Sudhir Kumar
4. Masatoshi Nei
5. Paul D. N. Hebert
6. Xuhua Xia
7. Michael Suleski
8. S. Blair Hedges

In Molecular Biology

1. Koichiro Tamura
2. Glen Stecher
3. Sudhir Kumar
4. Asha J. Dissanayake
5. Masatoshi Nei
6. Paul D. N. Hebert
7. Xuhua Xia
8. Michael Suleski

Citations in the corpus

• MEGA11: Molecular Evolutionary Genetics Analysis Version 11 (2021, methodology): “It was then redesigned to become activity-driven (Tamura et al. 2011), followed by the incorporation of web technologies to ensure a consistent use-and-feel across Microsoft Windows and Linux operating systems (Kumar et al. 2018) and macOS (Stecher et al. 2020).”
• Full-genome evolutionary analysis of the novel corona virus (2019-nCoV) rejects the hypothesis of emergence as a result of a recent recombination event (2020, neutral): “0 [23] according to the encoded reading frame.”