Improvement of eukaryotic protein predictions from soil metagenomes

Carole Belliardo; Georgios D. Koutsovoulos; Corinne Rancurel; Mathilde Clément; Justine Lipuma; Marc Bailly-Bechet; Etienne G. J. Danchin

doi:10.1038/s41597-022-01420-4

Scientific Data (Jun 2022)

Improvement of eukaryotic protein predictions from soil metagenomes

Carole Belliardo,
Georgios D. Koutsovoulos,
Corinne Rancurel,
Mathilde Clément,
Justine Lipuma,
Marc Bailly-Bechet,
Etienne G. J. Danchin

Affiliations

Carole Belliardo: Institut Sophia Agrobiotech, Université Côte d’Azur, INRAE, CNRS
Georgios D. Koutsovoulos: Institut Sophia Agrobiotech, Université Côte d’Azur, INRAE, CNRS
Corinne Rancurel: Institut Sophia Agrobiotech, Université Côte d’Azur, INRAE, CNRS
Mathilde Clément: MYCOPHYTO
Justine Lipuma: MYCOPHYTO
Marc Bailly-Bechet: Institut Sophia Agrobiotech, Université Côte d’Azur, INRAE, CNRS
Etienne G. J. Danchin: Institut Sophia Agrobiotech, Université Côte d’Azur, INRAE, CNRS

DOI: https://doi.org/10.1038/s41597-022-01420-4
Journal volume & issue: Vol. 9, no. 1
pp. 1 – 14

Abstract

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Measurement(s) gene prediction objective Technology Type(s) Bioinformatics Sample Characteristic - Organism Eukaryota Sample Characteristic - Environment bulk soil • rhizosphere • rhizosphere environment Sample Characteristic - Location world

Published in Scientific Data

ISSN: 2052-4463 (Online)
Publisher: Nature Portfolio
Country of publisher: United Kingdom
LCC subjects: Science
Website: https://www.nature.com/sdata/

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