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

Chen Xie(Peking University), Xizeng Mao(University of Georgia), Jiaju Huang(Garvan Institute of Medical Research), Yang Ding(Peking University), Jianmin Wu(Garvan Institute of Medical Research), Shan Dong(Garvan Institute of Medical Research), Lei Kong(Garvan Institute of Medical Research), Ge Gao(Peking University), Chuan‐Yun Li(Garvan Institute of Medical Research), Liping Wei(Garvan Institute of Medical Research)
Nucleic Acids Research
June 27, 2011
10.1093/nar/gkr483
Cited by 5,449Open Access
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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.

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