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Can I read TOM: a web-based integrated approach for identification of candidate disease genes on EtoBox?

TOM: a web-based integrated approach for identification of candidate disease genes by S. Rossi; D. Masotti; C. Nardini; E. Bonora; G. Romeo; E. Macii; L. Benini; S. Volinia is a Biochemistry, Genetics and Molecular Biology article available to read on EtoBox.

What is TOM: a web-based integrated approach for identification of candidate disease genes about?

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 approach allows the geneticist to bypass the costly and time consuming tracing of genetic markers through entire families and might improve the chance of identifying disease genes, particularly for rare diseases. We present here the tool and the results obtained on known benchmark and on hereditary predisposition to familial thyroid cancer. Our algorithm is available at .

Who reads TOM: a web-based integrated approach for identification of candidate disease genes?

It is typically read by researchers, students, and practitioners in Biochemistry, Genetics and Molecular Biology.

Author
S. Rossi; D. Masotti; C. Nardini; E. Bonora; G. Romeo; E. Macii; L. Benini; S. Volinia
Publisher
Oxford University Press; London: Information Retrieval; Oxford: Oxford University Press; Oxford University Press (OUP) (ISSN 0305-1048)
Published
2006
Language
EN
Field
Biochemistry, Genetics and Molecular Biology (Life Sciences)

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