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:3,098
Number of eukaryotes:256
Number of bacteria:2,675
Number of archaea:167
Number of sequences:12,737,907
Number of clusters:1,362,218

Cluster typeSingletonMultipleTotal
domain common0554554
eukaryotes, bacteria04,3734,373
eukaryotes, archaea0936936
bacteria, archaea03,3503,350
eukaryotes354,336173,213527,549
bacteria439,053320,887759,940
archaea35,76229,75465,516
Total829,151533,0671,362,218

ver. 2014-07-31