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

Molecular Biology and Evolution · 2021 · Vol. 38(12) · pp. 5825–5829
Carlos P. CantalapiedraAna Hernández-PlazaIvica LetunićPeer BorkJaime Huerta‐Cepas

Abstract

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.

Genomics and Phylogenetic StudiesBioinformatics and Genomic NetworksMicrobial Metabolic Engineering and BioproductionAnnotationBiologyMetagenomicsContigComputational biologyWorkflowDomain (mathematical analysis)GenomeGene AnnotationGene prediction

MeSH terms

PhylogenySoftwareGenomicsDatabases, GeneticMetagenomeMetagenomicsMolecular Sequence Annotation

Funding

  • Ministerio de Ciencia, Innovación y Universidades
  • Bundesministerium für Bildung und Forschung
  • Agencia Estatal de Investigación
  • H2020 European Research Council
Citations
4,237
FWCI
214.71
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