Abstract
Abstract Summary: Targeted enrichment of conserved and ultraconserved genomic elements allows universal collection of phylogenomic data from hundreds of species at multiple time scales (<5 Ma to > 300 Ma). Prior to downstream inference, data from these types of targeted enrichment studies must undergo preprocessing to assemble contigs from sequence data; identify targeted, enriched loci from the off-target background data; align enriched contigs representing conserved loci to one another; and prepare and manipulate these alignments for subsequent phylogenomic inference. PHYLUCE is an efficient and easy-to-install software package that accomplishes these tasks across hundreds of taxa and thousands of enriched loci. Availability and Implementation: PHYLUCE is written for Python 2.7. PHYLUCE is supported on OSX and Linux (RedHat/CentOS) operating systems. PHYLUCE source code is distributed under a BSD-style license from https://www.github.com/faircloth-lab/phyluce/. PHYLUCE is also available as a package (https://binstar.org/faircloth-lab/phyluce) for the Anaconda Python distribution that installs all dependencies, and users can request a PHYLUCE instance on iPlant Atmosphere (tag: phyluce). The software manual and a tutorial are available from http://phyluce.readthedocs.org/en/latest/ and test data are available from doi: 10.6084/m9.figshare.1284521. Contact: brant@faircloth-lab.org Supplementary information: Supplementary data are available at Bioinformatics online.
Keywords
Python (programming language)Computer scienceSoftwareMIT LicensePreprocessorOS XSource codeContigInferenceR packageProgramming languageComputational biologyBiologyGenomeGeneticsArtificial intelligence
Affiliated Institutions
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Publication Info
- Year
- 2015
- Type
- article
- Volume
- 32
- Issue
- 5
- Pages
- 786-788
- Citations
- 942
- Access
- Closed
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Cite This
Brant C. Faircloth
(2015).
PHYLUCE is a software package for the analysis of conserved genomic loci.
Bioinformatics
, 32
(5)
, 786-788.
https://doi.org/10.1093/bioinformatics/btv646
Identifiers
- DOI
- 10.1093/bioinformatics/btv646