KEGG OC (KEGG Ortholog Cluster) is a novel database of ortholog clusters (OCs) based on the whole genome comparison. The OCs were constructed by applying a novel clustering method to all possible protein coding genes in all complete genomes, based on their amino acid sequence similarities. KEGG OC has the following original features in terms of coverage, efficiency, and usability. First, it consists of all fully sequenced genomes of a wide range of organisms from three domains (eukaryotes, bacteria, and archaea). Second, it is computationally efficient to calculate OCs, which makes it possible to regularly update the contents. Third, it is compatible with the KEGG database, which provides an easy way to link the OCs with KEGG PATHWAY, BRITE functional hierarchies, KEGG MODULE, KEGG MEDICUS, and many more.

OC search

ID or terms query

ex. hsa:362, K04517, M00170, pyruvate dehydrogenase org=bsu


Amino acid sequence query

ex. hsa:5162

Statistics

Number of organisms:3,000
Number of eukaryotes:236
Number of bacteria:2,598
Number of archaea:166
Number of sequences:12,200,527
Number of clusters:1,352,987

Cluster typeSingletonMultipleTotal
domain common0317317
eukaryotes, bacteria04,1854,185
eukaryotes, archaea01,1971,197
bacteria, archaea02,9692,969
eukaryotes349,997172,586522,583
bacteria438,585317,703756,288
archaea35,73229,71665,448
Total824,314528,6731,352,987

ver. 2014-04-28