Nucleic Acids Research Advance Access originally published online on May 3, 2007
Nucleic Acids Research 2007 35(Web Server issue):W212-W216; doi:10.1093/nar/gkm223
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Nucleic Acids Research, 2007, Vol. 35, No. suppl_2 W212-W216
© 2007 The Author(s)
This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/2.0/uk/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
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Update of the G2D tool for prioritization of gene candidates to inherited diseases
1Ontario Genomics Innovation Centre, Ottawa Health Research Institute, 501 Smyth, Ottawa, ON, Canada K1H 8L6, 2European Molecular Biology Laboratory, Meyerhofstrasse 1, 69117 Heidelberg, Germany and 3Department of Cellular and Molecular Medicine, Faculty of Medicine, University of Ottawa, Canada
*To whom correspondence should be addressed. Tel: +1 613 737 8899 Ext 73255; Fax: +1 613 739 6294; Email: cperez-iratxeta{at}ohri.ca
Received January 29, 2007. Revised March 20, 2007. Accepted March 28, 2007.
G2D (genes to diseases) is a web resource for prioritizing genes as candidates for inherited diseases. It uses three algorithms based on different prioritization strategies. The input to the server is the genomic region where the user is looking for the disease-causing mutation, plus an additional piece of information depending on the algorithm used. This information can either be the disease phenotype (described as an online Mendelian inheritance in man (OMIM) identifier), one or several genes known or suspected to be associated with the disease (defined by their Entrez Gene identifiers), or a second genomic region that has been linked as well to the disease. In the latter case, the tool uses known or predicted interactions between genes in the two regions extracted from the STRING database. The output in every case is an ordered list of candidate genes in the region of interest. For the first two of the three methods, the candidate genes are first retrieved through sequence homology search, then scored accordingly to the corresponding method. This means that some of them will correspond to well-known characterized genes, and others will overlap with predicted genes, thus providing a wider analysis. G2D is publicly available at http://www.ogic.ca/projects/g2d_2/
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