An object-oriented framework for evolutionary pangenome analysis.

R bacterial comparative genomics bacterial evolution data visualization object-oriented programming pangenome analysis pangenome reconstruction

Journal

Cell reports methods
ISSN: 2667-2375
Titre abrégé: Cell Rep Methods
Pays: United States
ID NLM: 9918227360606676

Informations de publication

Date de publication:
27 09 2021
Historique:
received: 09 03 2021
revised: 04 06 2021
accepted: 25 08 2021
entrez: 27 4 2022
pubmed: 28 4 2022
medline: 28 4 2022
Statut: epublish

Résumé

Pangenome analysis is fundamental to explore molecular evolution occurring in bacterial populations. Here, we introduce Pagoo, an R framework that enables straightforward handling of pangenome data. The encapsulated nature of Pagoo allows the storage of complex molecular and phenotypic information using an object-oriented approach. This facilitates to go back and forward to the data using a single programming environment and saving any stage of analysis (including the raw data) in a single file, making it sharable and reproducible. Pagoo provides tools to query, subset, compare, visualize, and perform statistical analyses, in concert with other microbial genomics packages available in the R ecosystem. As working examples, we used 1,000

Identifiants

pubmed: 35474671
doi: 10.1016/j.crmeth.2021.100085
pii: S2667-2375(21)00140-5
pmc: PMC9017228
doi:

Banques de données

figshare
['10.6084/m9.figshare.13622354.v1']

Types de publication

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

Langues

eng

Pagination

100085

Informations de copyright

© 2021 The Authors.

Déclaration de conflit d'intérêts

The authors declare no competing interests.

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Auteurs

Ignacio Ferrés (I)

Microbial Genomics Laboratory, Institut Pasteur Montevideo, Montevideo, Uruguay.
Center for Innovation in Epidemiological Surveillance, Institut Pasteur Montevideo, Montevideo, Uruguay.

Gregorio Iraola (G)

Microbial Genomics Laboratory, Institut Pasteur Montevideo, Montevideo, Uruguay.
Center for Innovation in Epidemiological Surveillance, Institut Pasteur Montevideo, Montevideo, Uruguay.
Wellcome Sanger Institute, Hinxton, UK.
Center for Integrative Biology, Universidad Mayor, Santiago de Chile, Chile.

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Classifications MeSH