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DILS
2007
Springer

Accelerating Disease Gene Identification Through Integrated SNP Data Analysis

11 years 9 months ago
Accelerating Disease Gene Identification Through Integrated SNP Data Analysis
Information about small genetic variations in organisms, known as single nucleotide polymorphism (SNPs), is crucial to identify candidate genes that have a role in disease susceptibility, a long-standing research goal in biology. While a number of established public SNP databases are available, the specification of effective techniques for SNP analysis remains an open issue. We describe a secondary SNP database that integrates data from multiple public sources, designed to support various experimental ranking models for SNPs. By prioritizing SNPs within large regions of the genome, scientists are able to rapidly narrow their search for candidate genes. In the paper we describe the ranking models, the data integration architecture, and preliminary experimental results.
Paolo Missier, Suzanne M. Embury, Cornelia Hedeler
Added 14 Aug 2010
Updated 14 Aug 2010
Type Conference
Year 2007
Where DILS
Authors Paolo Missier, Suzanne M. Embury, Cornelia Hedeler, R. Mark Greenwood, Joanne Pennock, Andy Brass
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