PHAST and RPHAST: phylogenetic analysis with space/time models

Hubisz, M. J., Pollard, K. S., Siepel, A. (January 2011) PHAST and RPHAST: phylogenetic analysis with space/time models. Brief Bioinform, 12 (1). pp. 41-51. ISSN 1467-5463

Abstract

The PHylogenetic Analysis with Space/Time models (PHAST) software package consists of a collection of command-line programs and supporting libraries for comparative genomics. PHAST is best known as the engine behind the Conservation tracks in the University of California, Santa Cruz (UCSC) Genome Browser. However, it also includes several other tools for phylogenetic modeling and functional element identification, as well as utilities for manipulating alignments, trees and genomic annotations. PHAST has been in development since 2002 and has now been downloaded more than 1000 times, but so far it has been released only as provisional ('beta') software. Here, we describe the first official release (v1.0) of PHAST, with improved stability, portability and documentation and several new features. We outline the components of the package and detail recent improvements. In addition, we introduce a new interface to the PHAST libraries from the R statistical computing environment, called RPHAST, and illustrate its use in a series of vignettes. We demonstrate that RPHAST can be particularly useful in applications involving both large-scale phylogenomics and complex statistical analyses. The R interface also makes the PHAST libraries acccessible to non-C programmers, and is useful for rapid prototyping. PHAST v1.0 and RPHAST v1.0 are available for download at http://compgen.bscb.cornell.edu/phast, under the terms of an unrestrictive BSD-style license. RPHAST can also be obtained from the Comprehensive R Archive Network (CRAN; http://cran.r-project.org).

Item Type: Paper
Uncontrolled Keywords: Databases, Genetic Genome Genomics/*methods Information Storage and Retrieval/methods Internet *Phylogeny *Software
Subjects: bioinformatics
bioinformatics > genomics and proteomics > databases
bioinformatics > genomics and proteomics > genetics & nucleic acid processing
bioinformatics > genomics and proteomics > genetics & nucleic acid processing > genomes
CSHL Authors:
Communities: CSHL labs > Siepel lab
Depositing User: Matt Covey
Date: January 2011
Date Deposited: 14 Jan 2015 20:17
Last Modified: 14 Jan 2015 20:17
PMCID: PMC3030812
Related URLs:
URI: https://repository.cshl.edu/id/eprint/31072

Actions (login required)

Administrator's edit/view item Administrator's edit/view item