ArticleMicrobiome2024
Fairy: fast approximate coverage for multi-sample metagenomic binning.
Article in Microbiome, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Functional redundancy and stability support the resilience of the Evernia prunastri holobiont under urbanization.Environmental microbiome · 2026Article
- Article
- Longitudinal gut microbiota tracking reveals the dynamics of horizontal gene transfer.Nature communications · 2025Article
- Targeted Intervention Strategies for Maternal-Offspring Transmission of Christensenellaceae in Pigs via a Deep Learning Model.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
- CoverM: read alignment statistics for metagenomics.Bioinformatics (Oxford, England) · 2025Article
- Metagenomes and metagenome-assembled genomes from tidal lagoons at a New York City waterfront park.PeerJ · 2025Article
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Authors and funding
2 authors.
Funding
Abstract
backgroundMetagenomic binning, the clustering of assembled contigs that belong to the same genome, is a crucial step for recovering metagenome-assembled genomes (MAGs). Contigs are linked by exploiting consistent signatures along a genome, such as read coverage patterns. Using coverage from multiple samples leads to higher-quality MAGs; however, standard pipelines require all-to-all read alignments for multiple samples to compute coverage, becoming a key computational bottleneck.
resultsWe present fairy ( https://github.com/bluenote-1577/fairy ), an approximate coverage calculation method for metagenomic binning. Fairy is a fast k-mer-based alignment-free method. For multi-sample binning, fairy can be
conclusionsFairy is a new tool for approximately and quickly calculating multi-sample coverage for binning, resolving a computational bottleneck for metagenomics. Video Abstract.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.