Jennifer Mattock, Marina Martínez-Álvaro, Matthew A Cleveland, Rainer Roehe, Mick Watson
Bioinformatics (Oxford, England) 2023 Aug 01Accurate gene prediction is essential for successful metagenome analysis. We present KOunt, a Snakemake pipeline, that precisely quantifies KEGG orthologue abundance. 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. © The Author(s) 2023. Published by Oxford University Press.
Jennifer Mattock, Marina Martínez-Álvaro, Matthew A Cleveland, Rainer Roehe, Mick Watson. KOunt: a reproducible KEGG orthologue abundance workflow. Bioinformatics (Oxford, England). 2023 Aug 01;39(8)
PMID: 37535671
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