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

Author:

Kosakovsky Pond Sergei L1,Poon Art F Y2,Velazquez Ryan1,Weaver Steven1,Hepler N Lance3,Murrell Ben4,Shank Stephen D1,Magalis Brittany Rife1ORCID,Bouvier Dave5,Nekrutenko Anton5ORCID,Wisotsky Sadie16,Spielman Stephanie J17,Frost Simon D W89,Muse Spencer V6

Affiliation:

1. Institute for Genomics and Evolutionary Medicine, Temple University, Philadelphia, PA

2. Pathology and Laboratory Medicine, Western University, London, ON, Canada

3. 10× Genomics, Pleasanton, CA

4. Department of Microbiology, Tumor and Cell Biology, Karolinska Institutet, Stockholm, Sweden

5. Biochemistry and Molecular Biology, The Pennsylvania State University, State College, PA

6. Department of Statistics and Bioinformatics Research Center, North Carolina State University, Raleigh, NC

7. Rowan University, Glassboro, NJ

8. Department of Veterinary Medicine, University of Cambridge, Cambridge, United Kingdom

9. The Alan Turing Institute, London, United Kingdom

Abstract

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.

Funder

NIH/NIGMS

NIH/NIAID

NIH/NIEHS

Engineering and Physical Sciences Research Council

NIH

Publisher

Oxford University Press (OUP)

Subject

Genetics,Molecular Biology,Ecology, Evolution, Behavior and Systematics

Reference27 articles.

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