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KOunt: a reproducible KEGG orthologue abundance workflow
SUMMARY: Accurate 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 datab...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10423021/ https://www.ncbi.nlm.nih.gov/pubmed/37535671 http://dx.doi.org/10.1093/bioinformatics/btad483 |
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author | Mattock, Jennifer Martínez-Álvaro, Marina Cleveland, Matthew A Roehe, Rainer Watson, Mick |
author_facet | Mattock, Jennifer Martínez-Álvaro, Marina Cleveland, Matthew A Roehe, Rainer Watson, Mick |
author_sort | Mattock, Jennifer |
collection | PubMed |
description | SUMMARY: Accurate 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. |
format | Online Article Text |
id | pubmed-10423021 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-104230212023-08-13 KOunt: a reproducible KEGG orthologue abundance workflow Mattock, Jennifer Martínez-Álvaro, Marina Cleveland, Matthew A Roehe, Rainer Watson, Mick Bioinformatics Applications Note SUMMARY: Accurate 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. Oxford University Press 2023-08-03 /pmc/articles/PMC10423021/ /pubmed/37535671 http://dx.doi.org/10.1093/bioinformatics/btad483 Text en © The Author(s) 2023. Published by Oxford University Press. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Applications Note Mattock, Jennifer Martínez-Álvaro, Marina Cleveland, Matthew A Roehe, Rainer Watson, Mick KOunt: a reproducible KEGG orthologue abundance workflow |
title | KOunt: a reproducible KEGG orthologue abundance workflow |
title_full | KOunt: a reproducible KEGG orthologue abundance workflow |
title_fullStr | KOunt: a reproducible KEGG orthologue abundance workflow |
title_full_unstemmed | KOunt: a reproducible KEGG orthologue abundance workflow |
title_short | KOunt: a reproducible KEGG orthologue abundance workflow |
title_sort | kount: a reproducible kegg orthologue abundance workflow |
topic | Applications Note |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10423021/ https://www.ncbi.nlm.nih.gov/pubmed/37535671 http://dx.doi.org/10.1093/bioinformatics/btad483 |
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