TOM: a web-based integrated approach for identification of candidate disease genes.

ABSTRACT: The massive production of biological data by means of highly parallel devices like microarrays for gene expression has paved the way to new possible approaches in molecular genetics. Among them the possibility of inferring biological answers by querying large amounts of expression data. Based on this principle, we present here TOM, a web-based resource for the efficient extraction of candidate genes for hereditary diseases. The service requires the previous knowledge of at least another gene responsible for the disease and the linkage area, or else of two disease associated genetic intervals. The algorithm uses the information stored in public resources, including mapping, expression and functional databases. Given the queries, TOM will select and list one or more candidate genes. This app

SUBMITTER: Rossi S 

PROVIDER: S-EPMC1538851 | biostudies-literature | 2006 Jul

REPOSITORIES: biostudies-literature