Your browser doesn't support javascript.
loading
KOunt: a reproducible KEGG orthologue abundance workflow.
Mattock, Jennifer; Martínez-Álvaro, Marina; Cleveland, Matthew A; Roehe, Rainer; Watson, Mick.
Afiliação
  • Mattock J; The Roslin Institute and Royal (Dick) School of Veterinary Studies, University of Edinburgh, Edinburgh, Midlothian, United Kingdom.
  • Martínez-Álvaro M; Scotland's Rural College, Edinburgh, United Kingdom.
  • Cleveland MA; Genus plc, DeForest, WI, United States.
  • Roehe R; Scotland's Rural College, Edinburgh, United Kingdom.
  • Watson M; Scotland's Rural College, Edinburgh, United Kingdom.
Bioinformatics ; 39(8)2023 08 01.
Article em En | MEDLINE | ID: mdl-37535671
ABSTRACT

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.
Assuntos
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Software / Metagenoma Idioma: En Ano de publicação: 2023 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Software / Metagenoma Idioma: En Ano de publicação: 2023 Tipo de documento: Article