Abstract

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.

Keywords

AnnotationBiologyMetagenomicsContigComputational biologyWorkflowDomain (mathematical analysis)GenomeGene AnnotationGene predictionComputer scienceBioinformaticsData miningGeneGeneticsDatabase

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Publication Info

Year
2021
Type
letter
Volume
38
Issue
12
Pages
5825-5829
Citations
3673
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Closed

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Carlos P. Cantalapiedra, Ana Hernández-Plaza, Ivica Letunić et al. (2021). eggNOG-mapper v2: Functional Annotation, Orthology Assignments, and Domain Prediction at the Metagenomic Scale. Molecular Biology and Evolution , 38 (12) , 5825-5829. https://doi.org/10.1093/molbev/msab293

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DOI
10.1093/molbev/msab293