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

Dave Bouvier, Anton Nekrutenko, Ben Murrell, Stephanie J. Spielman, Sergei L. Kosakovsky Pond, Spencer V. Muse, Simon D. W. Frost, Steven Weaver, Art F. Y. Poon, Ryan Velazquez, N. Lance Hepler, Stephen D. Shank, Brittany Rife Magalis, Sadie R Wisotsky
2019-08-25

SCID:  54.1/zgxuq4wk
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.
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2019-08-25
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Authors
Dave Bouvier
Anton Nekrutenko
Ben Murrell
Stephanie J. Spielman
Sergei L. Kosakovsky Pond
Spencer V. Muse
Simon D. W. Frost
Steven Weaver
Art F. Y. Poon
Ryan Velazquez
N. Lance Hepler
Stephen D. Shank
Brittany Rife Magalis
Sadie R Wisotsky
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