eggNOG-mapper v2: Functional Annotation, Orthology Assignments, and Domain Prediction at the Metagenomic Scale.

Autor:	Cantalapiedra CP; Centro de Biotecnologia y Genomica de Plantas, Universidad Politécnica de Madrid (UPM) - Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria (INIA), Campus de Montegancedo-UPM, Madrid, Spain., Hernández-Plaza A; Centro de Biotecnologia y Genomica de Plantas, Universidad Politécnica de Madrid (UPM) - Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria (INIA), Campus de Montegancedo-UPM, Madrid, Spain., Letunic I; Biobyte Solutions GmbH, Heidelberg, Germany., Bork P; European Molecular Biology Laboratory, Structural and Computational Biology Unit, Heidelberg, Germany.; Department of Bioinformatics, Biocenter, University of Würzburg, Würzburg, Germany.; Yonsei Frontier Lab (YFL), Yonsei University, Seoul, South Korea., Huerta-Cepas J; Centro de Biotecnologia y Genomica de Plantas, Universidad Politécnica de Madrid (UPM) - Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria (INIA), Campus de Montegancedo-UPM, Madrid, Spain.
Jazyk:	angličtina
Zdroj:	Molecular biology and evolution [Mol Biol Evol] 2021 Dec 09; Vol. 38 (12), pp. 5825-5829.
DOI:	10.1093/molbev/msab293
Abstrakt:	Even though automated functional annotation of genes represents a fundamental step in most genomic and metagenomic workflows, it remains challenging at large scales. Here, we describe a major upgrade to eggNOG-mapper, a tool for functional annotation based on precomputed orthology assignments, now optimized for vast (meta)genomic data sets. Improvements in version 2 include a full update of both the genomes and functional databases to those from eggNOG v5, as well as several efficiency enhancements and new features. Most notably, eggNOG-mapper v2 now allows for: 1) de novo gene prediction from raw contigs, 2) built-in pairwise orthology prediction, 3) fast protein domain discovery, and 4) automated GFF decoration. eggNOG-mapper v2 is available as a standalone tool or as an online service at http://eggnog-mapper.embl.de. (© The Author(s) 2021. Published by Oxford University Press on behalf of the Society for Molecular Biology and Evolution.)
Databáze:	MEDLINE
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