KofamKOALA: KEGG Ortholog assignment based on profile HMM and adaptive score threshold

SUMMARY: KofamKOALA is a web server to assign KEGG Orthologs (KOs) to protein sequences by homology search against a database of profile hidden Markov models (KOfam) with pre-computed adaptive score thresholds. KofamKOALA is faster than existing KO assignment tools with its accuracy being comparable...

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Detalles Bibliográficos
Autores principales: Aramaki, Takuya, Blanc-Mathieu, Romain, Endo, Hisashi, Ohkubo, Koichi, Kanehisa, Minoru, Goto, Susumu, Ogata, Hiroyuki
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2020
Materias:
Applications Notes
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7141845/
https://www.ncbi.nlm.nih.gov/pubmed/31742321
http://dx.doi.org/10.1093/bioinformatics/btz859

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7141845/
https://www.ncbi.nlm.nih.gov/pubmed/31742321
http://dx.doi.org/10.1093/bioinformatics/btz859

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