Searching across hundreds of databases
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URL: http://kobas.cbi.pku.edu.cn/
Proper Citation: KOBAS (RRID:SCR_006350)
Description: Web server 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. 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). A standalone command line version is also available
Abbreviations: KOBAS
Synonyms: KEGG Orthology Based Annotation System
Resource Type: analysis service resource, data analysis service, software resource, production service resource, service resource
Defining Citation: PMID:21715386
Keywords: ortholog, pathway, disease, gene, protein, annotation, command line, FASEB list
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The NIDDK Information Network (dkNET) serves the needs of basic and clinical investigators by providing seamless access to large pools of data and research resources relevant to the mission of The National Institute of Diabetes Digestive and Kidney Diseases (NIDDK). dkNET is hosted at University of California San Diego, and is supported by NIH NIDDK grant 2U24DK097771-09.
Email: info_at_ dknet.org
