PhyloCSF++: a fast and user-friendly implementation of PhyloCSF with annotation tools.


Journal

Bioinformatics (Oxford, England)
ISSN: 1367-4811
Titre abrégé: Bioinformatics
Pays: England
ID NLM: 9808944

Informations de publication

Date de publication:
07 02 2022
Historique:
received: 12 03 2021
revised: 22 10 2021
accepted: 29 10 2021
pubmed: 5 11 2021
medline: 3 1 2023
entrez: 4 11 2021
Statut: ppublish

Résumé

PhyloCSF++ is an efficient and parallelized C++ implementation of the popular PhyloCSF method to distinguish protein-coding and non-coding regions in a genome based on multiple sequence alignments (MSAs). It can score alignments or produce browser tracks for entire genomes in the wig file format. Additionally, PhyloCSF++ annotates coding sequences in GFF/GTF files using precomputed tracks or computes and scores MSAs on the fly with MMseqs2. PhyloCSF++ is released under the AGPLv3 license. Binaries and source code are available at https://github.com/cpockrandt/PhyloCSFpp. The software can be installed through bioconda. A variety of tracks can be accessed through ftp://ftp.ccb.jhu.edu/pub/software/phylocsfpp/.

Identifiants

pubmed: 34734986
pii: 6420698
doi: 10.1093/bioinformatics/btab756
pmc: PMC9991890
doi:

Types de publication

Journal Article Research Support, N.I.H., Extramural Research Support, U.S. Gov't, Non-P.H.S. Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

1440-1442

Subventions

Organisme : NHGRI NIH HHS
ID : R01 HG006677
Pays : United States
Organisme : NIGMS NIH HHS
ID : R35 GM130151
Pays : United States
Organisme : NCI NIH HHS
ID : U24 CA180922
Pays : United States
Organisme : National Science Foundation
ID : IOS-1744309
Organisme : U.S. National Institutes of Health
Organisme : National Research Foundation of Korea
ID : 2019R1A6A1A1007347
Organisme : New Faculty Startup Fund
Organisme : Creative-Pioneering Researchers Program through Seoul National University

Informations de copyright

© The Author(s) 2021. Published by Oxford University Press. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

Références

Nat Biotechnol. 2017 Nov;35(11):1026-1028
pubmed: 29035372
Nat Commun. 2021 May 11;12(1):2642
pubmed: 33976134
Bioinformatics. 2011 Jul 1;27(13):i275-82
pubmed: 21685081
Nature. 2021 Apr;592(7856):737-746
pubmed: 33911273
Genome Res. 2002 Jun;12(6):996-1006
pubmed: 12045153
BMC Biol. 2018 Aug 20;16(1):94
pubmed: 30124169
Genome Res. 2019 Dec;29(12):2073-2087
pubmed: 31537640

Auteurs

Christopher Pockrandt (C)

Center for Computational Biology, Johns Hopkins University, Baltimore, MD 21211, USA.
Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD 21205, USA.

Martin Steinegger (M)

School of Biological Sciences, Seoul National University, Seoul 08826, Republic of Korea.

Steven L Salzberg (SL)

Center for Computational Biology, Johns Hopkins University, Baltimore, MD 21211, USA.
Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD 21205, USA.
Department of Biostatistics, Johns Hopkins University, Baltimore, MD 21205, USA.
Department of Computer Science, Johns Hopkins University, Baltimore, MD 21211, USA.

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Classifications MeSH