The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.
KOBAS 2.0: a web server for annotation and identification of enriched pathways and diseases
Open accessAbstract
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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Hashimoto, T., Horikawa, D. D., Saito, Y., Kuwahara, H., Kozuka-Hata, H., Shin-I, T., Minakuchi, Y., Ohishi, K., Motoyama, A., Aizu, T., et al. (2016) · Nature Communications · doi:10.1038/ncomms12808 · Cited by 394
Metadata
- Authors
- Xie, C., Mao, X., Huang, J., Ding, Y., Wu, J., Dong, S., Kong, L., Gao, G., Li, C.-Y., & Wei, L.
- Venue
- Nucleic Acids Research
- Publisher
- Oxford University Press (OUP)
- Published
- 2011-06-27
- Volume
- 39
- Issue
- suppl_2
- Pages
- W316-W322
- ISSN
- 0305-1048 (ISSN-L)
- 1362-4962
- OpenAlex
- W2027847170
- Cited by
- 5,094
- References
- 7
- FWCI
- 10.23
- Type
- journal article
- Language
- en
- Open access
- gold
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- Xie, C., Mao, X., Huang, J., Ding, Y., Wu, J., Dong, S., Kong, L., Gao, G., Li, C.-Y., & Wei, L. (2011). KOBAS 2.0: a web server for annotation and identification of enriched pathways and diseases. Nucleic Acids Research. https://doi.org/10.1093/nar/gkr483
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