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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Detalhes bibliográficos
Publicado no:Bioinformatics
Main Authors: Aramaki, Takuya, Blanc-Mathieu, Romain, Endo, Hisashi, Ohkubo, Koichi, Kanehisa, Minoru, Goto, Susumu, Ogata, Hiroyuki
Formato: Artigo
Idioma:Inglês
Publicado em: Oxford University Press 2020
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Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC7141845/
https://ncbi.nlm.nih.gov/pubmed/31742321
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/bioinformatics/btz859
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