BioinformaticsBioinformaticsPeer-reviewed journal article
KOunt - A reproducible KEGG orthologue abundance workflow
Jennifer MattockiD, Marina Martínez-ÁlvaroiD, Matthew A. ClevelandiD, R. RoeheiD, Mick WatsoniD
Abstract
SummaryAccurate gene prediction is essential for successful metagenome analysis. We present KOunt, a Snake-make pipeline, that precisely quantifies KEGG orthologue abundance. Availability and implementationKOunt is available on GitHub: https://github.com/WatsonLab/KOunt. The KOunt reference database is available on figshare: https://figshare.com/s/72fe3ed7dfbbdcd8b1e5. Test data are available at https://figshare.com/ndownloader/files/39545968 and version 1.1.0 of KOunt at https://figshare.com/ndown-loader/files/39547273. Contactjennifer.mattock@roslin.ed.ac.uk Supplementary informationSupplementary data are available at Bioinformatics online.
- assay: metagenomics
- research focus: benchmarking
- research focus: software / tool
- approach: statistical model
- Citations
- 9
- FWCI
- 1.24
- Field percentile
- top 22%
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