Author:
Aramaki Takuya,Blanc-Mathieu Romain,Endo Hisashi,Ohkubo Koichi,Kanehisa Minoru,Goto Susumu,Ogata Hiroyuki
Abstract
AbstractSummaryKofamKOALA 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 to the best performing tools. Function annotation by KofamKOALA helps linking genes to KEGG resources such as the KEGG pathway maps and facilitates molecular network reconstruction.AvailabilityKofamKOALA, KofamScan, and KOfam are freely available from https://www.genome.jp/tools/kofamkoala/Contactogata@kuicr.kyoto-u.ac.jp
Publisher
Cold Spring Harbor Laboratory
Cited by
48 articles.
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