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 | Acceso al texto completo restringido a Biblioteca INIA Las Brujas. Por información adicional contacte bibliolb@inia.org.uy. |
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Registro completo
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Biblioteca (s) : |
INIA Las Brujas. |
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Fecha actual : |
23/03/2020 |
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Actualizado : |
23/03/2020 |
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Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
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Circulación / Nivel : |
Internacional - -- |
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Autor : |
FERRÉS, I.; FRESIA, P.; IRAOLA, G. |
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Afiliación : |
IGNACIO FERRÉS, Microbial Genomics Laboratory, Institut Pasteur Montevideo, Montevideo, Uruguay.; PABLO FRESIA, Microbial Genomics Laboratory, Institut Pasteur Montevideo, Montevideo, Uruguay; Unidad Mixta UMPI, Institut Pasteur Montevideo + INIA, Montevideo, Uruguay; GREGORIO IRAOLA, Microbial Genomics Laboratory, Institut Pasteur Montevideo, Montevideo, Uruguay; Center for Integrative Biology, Universidad Mayor, Santiago de Chile, Chile; Wellcome Sanger Institute, Hinxton, United Kingdom. |
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Título : |
simurg: simulate bacterial pangenomes in R. (Application note) |
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Fecha de publicación : |
2020 |
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Fuente / Imprenta : |
Bioinformatics, 15 February 2020, Volume 36, Issue 4, Pages 1273-1274. Doi: https://doi.org/10.1093/bioinformatics/btz735 |
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ISSN : |
1367-4803 |
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DOI : |
10.1093/bioinformatics/btz735 |
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Idioma : |
Inglés |
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Notas : |
Article history: Received: 19 March 2019 / Revision received: 06 August 2019 / Accepted: 25 September 2019 / Published: 04 October 2019.
Corresponding author: Ferrés, I.; Microbial Genomics Laboratory, Institut Pasteur Montevideo, Uruguay; email:iferres@pasteur.edu.uy |
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Contenido : |
ABSTRACT.
Motivation: 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. Results: 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. © 2020 Oxford University Press. All rights reserved. |
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Palabras claves : |
Benchmarking; Genome analysis; Mutation rate; Software. |
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Asunto categoría : |
A50 Investigación agraria |
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Marc : |
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100 1 $aFERRÉS, I.
245 $asimurg$bsimulate bacterial pangenomes in R. (Application note)$h[electronic resource]
260 $c2020
500 $aArticle history: Received: 19 March 2019 / Revision received: 06 August 2019 / Accepted: 25 September 2019 / Published: 04 October 2019. Corresponding author: Ferrés, I.; Microbial Genomics Laboratory, Institut Pasteur Montevideo, Uruguay; email:iferres@pasteur.edu.uy
520 $aABSTRACT. Motivation: 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. Results: 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. © 2020 Oxford University Press. All rights reserved.
653 $aBenchmarking
653 $aGenome analysis
653 $aMutation rate
653 $aSoftware
700 1 $aFRESIA, P.
700 1 $aIRAOLA, G.
773 $tBioinformatics, 15 February 2020, Volume 36, Issue 4, Pages 1273-1274. Doi: https://doi.org/10.1093/bioinformatics/btz735
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