KofamKOALA: KEGG Ortholog assignment based on profile HMM and adaptive score threshold.
basic_science · Level V
Where this comes from
- Record sourced from PubMed, PMID 31742321.
- Also identified by DOI 10.1093/bioinformatics/btz859 and PMC identifier 7141845.
- No licence information is recorded for this record.
- Because redistribution is not established, this page shows the abstract only. Follow the links below for the full text.
Abstract
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 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. KofamKOALA, KofamScan and KOfam are freely available from GenomeNet (https://www.genome.jp/tools/kofamkoala/). Supplementary data are available at Bioinformatics online.
Medical subject headings
- Computers