ArticleBioinformatics (Oxford, England)2023
KOunt: a reproducible KEGG orthologue abundance workflow.
Article in Bioinformatics (Oxford, England), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
4 citing papers in PubMed.
- Optimisation of selection for methane mitigation by integrating production traits with ruminal microbiome-driven breeding in beef cattle.Genetics, selection, evolution : GSE · 2026Article
- Article
- Persistent enrichment of multidrug-resistant Klebsiella in oral and nasal communities during long-term starvation.Microbiome · 2024Article
- Including microbiome information in a multi-trait genomic evaluation: a case study on longitudinal growth performance in beef cattle.Genetics, selection, evolution : GSE · 2024Article
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Authors and funding
5 authors.
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Abstract
summaryAccurate gene prediction is essential for successful metagenome analysis. We present KOunt, a Snakemake pipeline, that precisely quantifies KEGG orthologue abundance. AVAILABILITY AND IMPLEMENTATION: KOunt is available on GitHub: https://github.com/WatsonLab/KOunt. The KOunt reference database is available on figshare: https://doi.org/10.6084/m9.figshare.21269715. Test data are available at https://doi.org/10.6084/m9.figshare.22250152 and version 1.2.0 of KOunt at https://doi.org/10.6084/m9.figshare.23607834.
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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.