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HyPhy 2.5-A Customizable Platform for Evolutionary Hypothesis Testing Using Phylogenies

delete2019-08-27
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OA
AI
S
Sergei L. Kosakovsky Pond *
A
Art F. Y. Poon
R
Ryan Velazquez
S
Steven Weaver
N
N. Lance Hepler
B
Ben Murrell
S
Stephen D. Shank
B
Brittany Rife Magalis
D
Dave Bouvier
A
Anton Nekrutenko
S
Sadie R Wisotsky
S
Stephanie J. Spielman
S
Simon D. W. Frost
S
Spencer V. Muse
DOI:10.1093/molbev/msz197delete
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Abstract

Abstract

En 中文
HYpothesis testing using PHYlogenies (HyPhy) is a scriptable, open-source package for fitting a broad range of evolutionary models to multiple sequence alignments, and for conducting subsequent parameter estimation and hypothesis testing, primarily in the maximum likelihood statistical framework. It has become a popular choice for characterizing various aspects of the evolutionary process: natural selection, evolutionary rates, recombination, and coevolution. The 2.5 release (available from www.hyphy.org) includes a completely re-engineered computational core and analysis library that introduces new classes of evolutionary models and statistical tests, delivers substantial performance and stability enhancements, improves usability, streamlines end-to-end analysis workflows, makes it easier to develop custom analyses, and is mostly backward compatible with previous HyPhy releases.
Keywords:
evolutionary analysis
natural selection
hypothesis testing
statistical inference
software engineering
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Molecular Biology and Evolution cover
Molecular Biology and Evolution
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Karolinska Institutet
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