Welcome to KOBAS 2.0
KOBAS 2.0 is an update of KOBAS (KEGG Orthology Based Annotation System). Its purpose is to identify statistically enriched pathways, diseases, and GO terms for a set of genes or proteins, using pathway, disease, and GO knowledge from multiple famous databases.
Updates of KOBAS 2.0
KOBAS 2.0 integrates Gene Ontology.
KOBAS 2.0 integrates KEGG PATHWAY, PID, BioCarta (from PID), Reactome, BioCyc, and PANTHER pathway databases.
KOBAS 2.0 integrates OMIM, KEGG DISEASE, FunDO, GAD, and NHGRI GWAS Catalog disease databases.
KOBAS 2.0 can annotate queries to either KEGG genes or KEGG Orthology (KO) terms.
KOBAS 2.0 can parse and annotate BLAST result (in tabular format) of a set of nucleotide / protein sequences.
Versions of KOBAS 2.0
Current KOBAS 2.0 programs were updated on December 1st, 2013. (New features)
Current KOBAS 2.0 backend databases were updated on September 1st, 2013. All dependent files from other databases were up to date on September 1th, 2013.
How to Cite KOBAS 2.0
Xie, C., Mao, X., Huang, J., Ding, Y., Wu, J., Dong, S., Kong, L., Gao, G., Li, C. and Wei, L. (2011) KOBAS 2.0: a web server for annotation and identification of enriched pathways and diseases. Nucleic Acids Res, 39, W316-322. [Abstract] [Full Text]
Mao, X., Cai, T., Olyarchuk, J.G. and Wei, L. (2005) Automated genome annotation and pathway identification using the KEGG Orthology (KO) as a controlled vocabulary. Bioinformatics, 21, 3787-3793. [Abstract] [Full Text]
Wu, J., Mao, X., Cai, T., Luo, J. and Wei, L. (2006) KOBAS server: a web-based platform for automated annotation and pathway identification. Nucleic Acids Res, 34, W720-724. [Abstract] [Full Text]
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