ArticleNAR genomics and bioinformatics2025
ganon2: up-to-date and scalable metagenomics analysis.
Article in NAR genomics and bioinformatics, 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.
- Genestrip: exact and efficient read classification for selected groups of organisms.BMC bioinformatics · 2026Article
- LEMMIv2: benchmarking framework for metagenomic and 16S amplicon profilers with a catalogue of evaluated tools.Genome biology · 2026Article
- Strain-level metagenomic profiling using pangenome graphs with PanTax.Genome research · 2026Article
- MADRe: Strain-level metagenomic classification through assembly-driven database reduction.GigaScience · 2026Article
- HYMET: a hybrid metagenomic pipeline for accurate and efficient taxonomic classification.GigaScience · 2026Article
- Article
- The Naïve Bayes classifier++ for metagenomic taxonomic classification-query evaluation.Bioinformatics (Oxford, England) · 2024Article
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Authors and funding
2 authors.
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Abstract
The fast growth of public genomic sequence repositories greatly contributes to the success of metagenomics. However, they are growing at a faster pace than the computational resources to use them. This challenges current methods, which struggle to take full advantage of massive and fast data generation. We propose a generational leap in performance and usability with ganon2, a sequence classification method that performs taxonomic binning and profiling for metagenomics analysis. It indexes large datasets with a small memory footprint, maintaining fast, sensitive, and precise classification results. Based on the full NCBI RefSeq and its subsets, ganon2 indices are on average 50% smaller than state-of-the-art methods. Using 16 simulated samples from various studies, including the CAMI 1+2 challenge, ganon2 achieved up to 0.15 higher median
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