KEGG OC statistics

Tool stats & trends

Looking to identify usage trends or leading experts?

KEGG OC specifications

Information


Unique identifier OMICS_21097
Name KEGG OC
Alternative name KEGG Ortholog Cluster
Restrictions to use None
Community driven No
Data access Browse
User data submission Not allowed
Maintained Yes

Maintainer


  • person_outline Susumu Goto

Additional information


http://www.genome.jp/tools/oc/help.html

Publication for KEGG Ortholog Cluster

KEGG OC citations

 (4)
library_books

On Burkholderiales order microorganisms and cystic fibrosis in Russia

2018
BMC Genomics
PMCID: 5836817
PMID: 29504898
DOI: 10.1186/s12864-018-4472-9

[…] The software Rapid Annotations Subsystems Technology and SEED [, ] were used for genome annotation. Complementary analysis was made with help of conserved domains search services: KEGG [], KEGG OC [], COGs []; protein subcellular localization prediction software: TMHMM Server v.2.0 [], SignalP 4.1 Server [], PSORTb version 3.0.2 [], InterPro server [, ]. Prophage sequences were revealed […]

library_books

Characterising PvRBSA: an exclusive protein from Plasmodium species infecting reticulocytes

2017
PMCID: 5437689
PMID: 28521840
DOI: 10.1186/s13071-017-2185-6

[…] ansmembrane regions. The selected genes were analysed to identify orthologs in other Plasmodium species according to the PlasmoDB [] and the Kyoto Encyclopedia of Genes and Genomes ortholog clusters (KEGG OC) [] databases. The sequence of any gene selected for being characterised was scanned in the PlasmoDB database and used for manually designing specific primers (using Generunner software, versi […]

library_books

Mosaic structure of Mycobacterium bovis BCG genomes as a representation of phage sequences’ mobility

2016
BMC Genomics
PMCID: 5249017
PMID: 28105923
DOI: 10.1186/s12864-016-3355-1

[…] software Rapid Annotations Subsystems Technology and SEED [, ] were employed for annotating the genome BCG Russia 368. Complementary analysis was made with conserved domains search services: KEGG [], KEGG OC [], COGs []; protein subcellular localization prediction software: TMHMM Server v.2.0 [], SignalP 4.1 Server [], PSORTb version 3.0.2 [], InterPro server [, ].ISfinder was used for the predict […]

library_books

Elucidation of the evolutionary expansion of phosphorylation signaling networks using comparative phosphomotif analysis

2014
BMC Genomics
PMCID: 4117960
PMID: 24981518
DOI: 10.1186/1471-2164-15-546

[…] zosaccharomyces pombe (spo), and Saccharomyces cerevisiae (sce). The three-letter code for each genome is the species identifier defined by KEGG. Orthologous genes among these genomes were defined by KEGG OC []. For each ortholog cluster, multiple sequence alignments were constructed by MAFFT [], which is a freely available, rapid, and reliable tool compared with other alignment tools. MAFFT was r […]

Citations

Looking to check out a full list of citations?

KEGG OC institution(s)
Center for Transdisciplinary Research, Niigata University, Niigata, Japan; Database Center for Life Science, Research Organization of Information and Systems, Tokyo, Japan; Graduate School of Information Science and Technology, Hokkaido University, Hokkaido, Japan; Bioinformatics Center, Institute for Chemical Research, Kyoto University, Kyoto, Japan; College of Life Sciences, Ritsumeikan University, Shiga, Japan; Center for iPS Cell Research and Application, Kyoto University, Shogoin Yoshida, Kyoto, Japan; Division of System Cohort, Multi-scale Research Center for Medical Science, Medical Institute of Bioregulation, Kyushu University, Fukuoka, Japan; Institute for Enzyme Research, the University of Tokushima, Tokushima, Japan
KEGG OC funding source(s)
Supported, in part, by Japan Science and Technology Agency.

KEGG OC reviews

star_border star_border star_border star_border star_border
star star star star star

Be the first to review KEGG OC