eggNOG-mapper v2
eggNOG-mapper v2 annotates genes and predicts functional annotations for genomic and metagenomic sequences using orthology-based transfers, protein domain discovery, de novo gene prediction, and automated GFF decoration.
Key Features:
- Precomputed Orthology Assignments: Uses precomputed orthologous groups and phylogenies from the eggNOG database (v5) to transfer functional information via fine-grained orthologs.
- De Novo Gene Prediction: Performs de novo gene prediction directly from raw contigs to generate gene models for annotation.
- Pairwise Orthology Prediction: Provides built-in pairwise orthology prediction to infer functions by comparing individual gene pairs across species.
- Fast Protein Domain Discovery: Employs efficient algorithms for rapid identification and annotation of conserved protein domains.
- Automated GFF Decoration: Automatically adds functional annotations to General Feature Format (GFF) files for downstream analyses.
Scientific Applications:
- Genomic and Metagenomic Workflows: Generates rapid functional annotations for single genomes and complex metagenomic assemblies to support downstream analyses.
- Comparative Genomics Studies: Enables evolutionary and orthology-based analyses by providing pairwise and ortholog-group-based functional inferences across species.
- Functional Genomics Research: Supports discovery of gene function and protein domain architecture through integrated annotation and domain detection.
Methodology:
Integrates precomputed orthologous groups and phylogenies from the eggNOG database with de novo gene prediction and pairwise orthology analysis to transfer functional annotations to novel sequences.
Topics
Details
- License:
- AGPL-3.0
- Tool Type:
- web application
- Programming Languages:
- Python
- Added:
- 1/10/2022
- Last Updated:
- 11/24/2024
Operations
Publications
Cantalapiedra CP, Hernández-Plaza A, Letunic I, Bork P, Huerta-Cepas J. eggNOG-mapper v2: Functional Annotation, Orthology Assignments, and Domain Prediction at the Metagenomic Scale. Molecular Biology and Evolution. 2021;38(12):5825-5829. doi:10.1093/molbev/msab293. PMID:34597405. PMCID:PMC8662613.