annoreport: an interactive tool for metagenome annotation

Abstract

Abstract Summary Gene annotation of metagenome-assembled genomes is a critical step in determining the functional potential of microbial communities from environmental samples. However, annotation workflows using tools such as Prokka or Bakta produce per-bin output with 10 to 14 files per bin, making manual review infeasible at scale. Existing tools incompletely aggregate and visualize gene annotation content across an entire metagenomic dataset. Here we present annoreport, a single-script Python tool requiring no external dependencies beyond Python 3.9+ that accepts output from either Prokka or Bakta, automatically detecting the annotation tool used. annoreport produces an interactive web-based report summarizing gene product frequencies, hypothetical protein rates, feature type distributions, and functional gene clustering via UniProt annotation across all bins. Applied to 206 metagenome-assembled genomes from Antarctic soil metagenomes, annoreport identified 603,799 coding sequences with a 47.1% annotation rate and revealed functional categorization in Transport & Membrane, Nucleotide Binding, and DNA Metabolism categories. Availability and implementation Freely available at https://github.com/keplerridge/annoreport under MIT license, via Bioconda (annoreport) and PyPI (annoreport).