simurg: simulate bacterial pangenomes in R.


Journal

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

Informations de publication

Date de publication:
15 02 2020
Historique:
received: 19 03 2019
revised: 06 08 2019
accepted: 25 09 2019
pubmed: 5 10 2019
medline: 18 9 2020
entrez: 5 10 2019
Statut: ppublish

Résumé

The pangenome concept describes genetic variability as the union of genes shared in a set of genomes and constitutes the current paradigm for comparative analysis of bacterial populations. However, there is a lack of tools to simulate pangenome variability and structure using defined evolutionary models. We developed simurg, an R package that allows to simulate bacterial pangenomes using different combinations of evolutionary constraints such as gene gain, gene loss and mutation rates. Our tool allows the straightforward and reproducible simulation of bacterial pangenomes using real sequence data, providing a valuable tool for benchmarking of pangenome software or comparing evolutionary hypotheses. The simurg package is released under the GPL-3 license, and is freely available for download from GitHub (https://github.com/iferres/simurg). Supplementary data are available at Bioinformatics online.

Identifiants

pubmed: 31584605
pii: 5581402
doi: 10.1093/bioinformatics/btz735
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

1273-1274

Informations de copyright

© The Author(s) 2019. Published by Oxford University Press. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

Auteurs

Ignacio Ferrés (I)

Microbial Genomics Laboratory, Institut Pasteur Montevideo, Uruguay.

Pablo Fresia (P)

Microbial Genomics Laboratory, Institut Pasteur Montevideo, Uruguay.
Unidad Mixta UMPI, Institut Pasteur Montevideo + INIA, Montevideo 11400, Uruguay.

Gregorio Iraola (G)

Microbial Genomics Laboratory, Institut Pasteur Montevideo, Uruguay.
Center for Integrative Biology, Universidad Mayor, Santiago de Chile 7510041, Chile.
Wellcome Sanger Institute, Hinxton CB10 1SA, UK.

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Classifications MeSH