title: 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.
authors.affiliation: Center for Bioinformatics, State Key Laboratory of Protein and Plant Gene Research, College of Life Sciences, Peking University, Beijing, China.
authors.forename: Chen
authors.initials: C
authors.lastname: Xie
authors.forename: Xizeng
authors.initials: X
authors.lastname: Mao
authors.forename: Jiaju
authors.initials: J
authors.lastname: Huang
authors.forename: Yang
authors.initials: Y
authors.lastname: Ding
authors.forename: Jianmin
authors.initials: J
authors.lastname: Wu
authors.forename: Shan
authors.initials: S
authors.lastname: Dong
authors.forename: Lei
authors.initials: L
authors.lastname: Kong
authors.forename: Ge
authors.initials: G
authors.lastname: Gao
authors.forename: Chuan-Yun
authors.initials: CY
authors.lastname: Li
authors.forename: Liping
authors.initials: L
authors.lastname: Wei
mesh_terms: D016208:Databases, Factual; D004194:Disease / Q000235:genetics*; D005796:Genes; D006801:Humans; D020407:Internet; D053858:Metabolic Networks and Pathways; D058977:Molecular Sequence Annotation; D017422:Sequence Analysis, DNA; D015398:Signal Transduction; D012984:Software; D014584:User-Computer Interface