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MacSyFinder v2: Improved modelling and search engine to identify molecular systems in genomes - Archive ouverte HAL
Article Dans Une Revue (Article De Synthèse) Peer Community Journal Année : 2023

MacSyFinder v2: Improved modelling and search engine to identify molecular systems in genomes

Résumé

MacSyFinder is a program to model and detect macromolecular systems, genetic pathways… in protein datasets. In prokaryotes, these systems have often evolutionarily conserved properties: they are made of conserved components, they are encoded in compact loci (conserved genetic architecture). The user models these systems with MacSyFinder to reflect these conserved features, and to allow their efficient detection. Criteria for systems detection include component content (quorum), and genomic co-localization. Each component corresponds to a hidden Markov model (HMM) protein profile to perform sequence similarity searches with the program Hmmer.

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DOI

Cite 10.6084/m9.figshare.21581280 Jeu de données Abby, S. (2022). Test dataset for MacSyFinder (v2) and expected output files [Data set]. figshare. https://doi.org/10.6084/M9.FIGSHARE.21581280

Two sets of examples with corresponding command lines and expected input and output files are provided on the Figshare platform
DOI

Cite 10.6084/m9.figshare.21716426.v1 Jeu de données Abby, S. (2022). A comprehensive test dataset for MacSyFinder v2 with TXSScan [Data set]. figshare. https://doi.org/10.6084/M9.FIGSHARE.21716426.V1

Dates et versions

pasteur-04060331 , version 1 (21-10-2022)
pasteur-04060331 , version 2 (06-04-2023)

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Bertrand Néron, Rémi Denise, Charles Coluzzi, Marie Touchon, Eduardo P.C. Rocha, et al.. MacSyFinder v2: Improved modelling and search engine to identify molecular systems in genomes. Peer Community Journal, 2023, 3, pp.e28. ⟨10.24072/pcjournal.250⟩. ⟨pasteur-04060331v2⟩
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