BELCOUR, Arnaud; RUIZ, Baptiste; FRIOUX, Clémence; BLANQUART, Samuel; SIEGEL, Anne

doi:10.1101/2022.03.16.484574

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BELCOUR, Arnaud
Dynamics, Logics and Inference for biological Systems and Sequences [Dyliss]

RUIZ, Baptiste
Dynamics, Logics and Inference for biological Systems and Sequences [Dyliss]

FRIOUX, Clémence
Pleiade, from patterns to models in computational biodiversity and biotechnology [PLEIADE]

Langue

Document de travail - Pré-publication

Résumé en anglais

Predicting the functional potential of microorganisms in environmental samples from cultivation-independent techniques is a major challenge. A persistent difficulty lies in associating taxonomic profiles obtained from metabarcoding experiment with accurate functional profiles, particularly for poorly-resolved taxonomic groups. In this paper, we present EsMeCaTa a python package predicting shared proteins from taxonomic affiliations. EsMeCaTa relies on the UniProt database to retrieve the public proteomes associated with a taxon and then uses MMseqs2 in order to compute the set of proteins shared in the taxon. Finally, EsMeCaTa extracts the functional annotations of these proteins to provide an accurate estimate of the functional potential associated to taxonomic affiliations.< Réduire

DOI

http://dx.doi.org/10.1101/2022.03.16.484574

Project ANR

Deciphering plant-microbiome interactions to enhance crop defense to bioagressors - ANR-20-PCPA-0004

Origine

Importé de hal

Unités de recherche

BioGeCo (Biodiversité Gènes & Communautés) - UMR 1202