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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...
| Autores principales: | , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Oxford University Press
2020
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| Materias: | |
| 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 |