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| Item Type: | Article |
|---|---|
| Title: | G2D: A tool for mining genes associated with disease |
| Creators Name: | Perez-Iratxeta, C. and Wjst, M. and Bork, P. and Andrade, M.A. |
| Abstract: | BACKGROUND: Human inherited diseases can be associated by genetic linkage with one or more genomic regions. The availability of the complete sequence of the human genome allows examining those locations for an associated gene. We previously developed an algorithm to prioritize genes on a chromosomal region according to their possible relation to an inherited disease using a combination of data mining on biomedical databases and gene sequence analysis. RESULTS: We have implemented this method as a web application in our site G2D (Genes to Diseases). It allows users to inspect any region of the human genome to find candidate genes related to a genetic disease of their interest. In addition, the G2D server includes pre-computed analyses of candidate genes for 552 linked monogenic diseases without an associated gene, and the analysis of 18 asthma loci. CONCLUSION: G2D can be publicly accessed at http://www.ogic.ca/projects/g2d_2/. |
| Keywords: | Algorithms, Alzheimer Disease, AsthmaInborn Genetic Diseases, Genetic Predisposition to Disease, Internet, Linkage |
| Source: | BMC Genetics |
| ISSN: | 1471-2156 |
| Publisher: | BioMed Central |
| Volume: | 6 |
| Page Range: | 45 |
| Date: | 22 August 2005 |
| Official Publication: | https://doi.org/10.1186/1471-2156-6-45 |
| PubMed: | View item in PubMed |
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