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KOBAS 2.0: a web server for annotation and identification of enriched pathways and diseases.

Abstract

High-throughput experimental technologies often identify dozens to hundreds of genes related to, or changed in, a biological or pathological process. From these genes one wants to identify biological pathways that may be involved and diseases that may be implicated. Here, we report a web server, KOBAS 2.0, which annotates an input set of genes with putative pathways and disease relationships based on mapping to genes with known annotations. It allows for both ID mapping and cross-species sequence similarity mapping. It then performs statistical tests to identify statistically significantly enriched pathways and diseases. KOBAS 2.0 incorporates knowledge across 1327 species from 5 pathway databases (KEGG PATHWAY, PID, BioCyc, Reactome and Panther) and 5 human disease databases (OMIM, KEGG DISEASE, FunDO, GAD and NHGRI GWAS Catalog). KOBAS 2.0 can be accessed at http://kobas.cbi.pku.edu.cn.

Type Journal
Authors Xie, C.; Mao, X.; Huang, J.; Ding, Y.; Wu, J.; Dong, S.; Kong, L.; Gao, G.; Li, C.Y.; Wei, L.
Garvan Authors Dr Jianmin Wu
Publisher Name NUCLEIC ACIDS RES
Published Date 2011-07-26 00:00:00
Published Volume 39
Published Issue Web Server issue
Published Pages W316-22
URL http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&dopt=Citation&list_uids=21715386
Status Published In-print
OpenAccess Link https://publications.gimr.garvan.org.au/download.php?11191_11680/11 Xie Nucl. Acids Res.pdf