MEGA11: Molecular Evolutionary Genetics Analysis Version 11

MEGA11: Molecular Evolutionary Genetics Analysis Version 11

April 23, 2021 | Koichiro Tamura, Glen Stecher, Sudhir Kumar
MEGA11 is a software package for molecular evolutionary genetics analysis, developed by Koichiro Tamura, Glen Stecher, and Sudhir Kumar. It offers a wide range of methods and tools for phylogenetic analysis, including estimating divergence times, confidence intervals, and detecting evolutionary rates. The software now includes advanced features for building timetrees, such as node-dating and tip-dating analyses, which allow for more accurate estimation of divergence times. MEGA11 also includes a Bayesian method for estimating neutral evolutionary probabilities and a machine learning method for detecting autocorrelation of evolutionary rates in phylogenies. The software has been optimized for memory efficiency, allowing it to handle larger datasets more effectively. The graphical user interface has been improved to be more responsive and interactive, especially for large data sets. MEGA11 is available for Microsoft Windows, Linux, and macOS. The software is designed to meet the growing needs of researchers in molecular evolution and phylogenetics, providing a comprehensive tool for analyzing evolutionary patterns and processes. The software includes a variety of methods for sequence alignment, phylogenetic reconstruction, and evolutionary analysis, making it a valuable resource for researchers in the field.MEGA11 is a software package for molecular evolutionary genetics analysis, developed by Koichiro Tamura, Glen Stecher, and Sudhir Kumar. It offers a wide range of methods and tools for phylogenetic analysis, including estimating divergence times, confidence intervals, and detecting evolutionary rates. The software now includes advanced features for building timetrees, such as node-dating and tip-dating analyses, which allow for more accurate estimation of divergence times. MEGA11 also includes a Bayesian method for estimating neutral evolutionary probabilities and a machine learning method for detecting autocorrelation of evolutionary rates in phylogenies. The software has been optimized for memory efficiency, allowing it to handle larger datasets more effectively. The graphical user interface has been improved to be more responsive and interactive, especially for large data sets. MEGA11 is available for Microsoft Windows, Linux, and macOS. The software is designed to meet the growing needs of researchers in molecular evolution and phylogenetics, providing a comprehensive tool for analyzing evolutionary patterns and processes. The software includes a variety of methods for sequence alignment, phylogenetic reconstruction, and evolutionary analysis, making it a valuable resource for researchers in the field.
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