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

Abstract 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 co...

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Bibliographic Details

Published in:	Bioinformatics Vol. 36; no. 7; pp. 2251 - 2252
Main Authors:	Aramaki, Takuya, Blanc-Mathieu, Romain, Endo, Hisashi, Ohkubo, Koichi, Kanehisa, Minoru, Goto, Susumu, Ogata, Hiroyuki
Format:	Journal Article
Language:	English
Published:	England Oxford University Press 01.04.2020
Subjects:	Applications Notes
ISSN:	1367-4803, 1367-4811, 1460-2059, 1367-4811
Online Access:	Get full text
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