ArticleBioinformatics (Oxford, England)2025
mettannotator: a comprehensive and scalable Nextflow annotation pipeline for prokaryotic assemblies.
Article in Bioinformatics (Oxford, England), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- Large-scale benchmarking of prokaryotic annotation tools across thousands of species.Genome biology · 2026Article
- From functional annotation to functional meaning in microbiome research.Environmental microbiome · 2026Review
- A comprehensive AMR genotype-phenotype database (CABBAGE).Nucleic acids research · 2026Article
- dbcan-nf: a Nextflow pipeline for accurate CAZyme annotation in metagenomes.Bioinformatics advances · 2026Article
- Diverse drought responses and evidence for stress priming in glacier-fed stream bacteria.Frontiers in microbiology · 2026Article
- Enteroflow: Automated Pipeline for In Silico Characterization ofInternational journal of molecular sciences · 2025Article
- Ensembl 2025.Nucleic acids research · 2025Article
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Authors and funding
4 authors.
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Abstract
summaryIn recent years, there has been a surge in prokaryotic genome assemblies, coming from both isolated organisms and environmental samples. These assemblies often include novel species that are poorly represented in reference databases creating a need for a tool that can annotate both well-described and novel taxa, and can run at scale. Here, we present mettannotator-a comprehensive, scalable Nextflow pipeline for prokaryotic genome annotation that identifies coding and noncoding regions, predicts protein functions, including antimicrobial resistance, and delineates gene clusters. The pipeline summarizes these results in a GFF (General Feature Format) file that can be easily utilized in downstream analysis or visualized using common genome browsers. Here, we show how it works on 200 genomes from 29 prokaryotic phyla, including isolate genomes and known and novel metagenome-assembled genomes, and present metrics on its performance in comparison to other tools. AVAILABILITY AND IMPLEMENTATION: The pipeline is written in Nextflow and Python and published under an open source Apache 2.0 licence. Instructions and source code can be accessed at https://github.com/EBI-Metagenomics/mettannotator. The pipeline is also available on WorkflowHub: https://workflowhub.eu/workflows/1069.
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