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

Sergei L. Kosakovsky Pond(Temple University), Art F. Y. Poon(Western University), Ryan Velazquez(Temple University), Steven Weaver(Temple University), N. Lance Hepler(10X Genomics (United States)), Ben Murrell(Karolinska Institutet), Stephen D. Shank(Temple University), Brittany Rife Magalis(Temple University), Dave Bouvier(Pennsylvania State University), Anton Nekrutenko(Pennsylvania State University), Sadie R Wisotsky(North Carolina State University), Stephanie J. Spielman(Rowan University), Simon D. W. Frost(University of Cambridge), Spencer V. Muse(North Carolina State University)
Molecular Biology and Evolution
August 25, 2019
Cited by 763Open Access
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Abstract

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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