TY - JOUR
T1 - KOBAS 2.0
T2 - A web server for annotation and identification of enriched pathways and diseases
AU - Xie, Chen
AU - Mao, Xizeng
AU - Huang, Jiaju
AU - Ding, Yang
AU - Wu, Jianmin
AU - Dong, Shan
AU - Kong, Lei
AU - Gao, Ge
AU - Li, Chuan Yun
AU - Wei, Liping
N1 - Funding Information:
‘National Outstanding Young Investigator’ from Natural Science Foundation of China (31025014); Johnson and Johnson (scholarship); China Ministry of Science and Technology 863 Hi-Tech Research and Development Programs (2007AA02Z165) and 973 Basic Research Program (2011CBA01102, 2007CB946904). Funding for open access charge: 973 Basic Research Program (2011CBA01102).
PY - 2011/7/1
Y1 - 2011/7/1
N2 - 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.
AB - 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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U2 - 10.1093/nar/gkr483
DO - 10.1093/nar/gkr483
M3 - Article
C2 - 21715386
AN - SCOPUS:79959986975
SN - 0305-1048
VL - 39
SP - W316-W322
JO - Nucleic acids research
JF - Nucleic acids research
IS - SUPPL. 2
ER -