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Bioinformatics Advance Access originally published online on November 29, 2007
Bioinformatics 2008 24(3):428-429; doi:10.1093/bioinformatics/btm588
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© The Author 2007. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oxfordjournals.org

TOM: enhancement and extension of a tool suite for in silico approaches to multigenic hereditary disorders

Daniele Masotti 1,*, Christine Nardini 1, Simona Rossi 2, Elena Bonora 3, Giovanni Romeo 3, Stefano Volinia 2 and Luca Benini 1

1Dipartimento di Elettronica, Informatica e Sistemistica (DEIS), University of Bologna, Viale Risorgimento 2, 40136 Bologna, 2Functional Genomics Laboratory and Telethon Facility – DAMA Data Mining for Analysis of DNA Microarrays, Dipartimento di Morfologia ed Embriologia, Via Fossato di Mortara 64b, 44100 Ferrara and 3Unitá di Genetica Medica, Policlinico S. Orsola, via Massarenti 9,40138 Bologna, Italy

*To whom correspondence should be addressed.


  Abstract

Summary: The study of complex hereditary diseases is a very challenging area of research. The expanding set of in silico approaches offers a flourishing ground for the acceleration of meaningful findings in this area by exploitation of rich and diverse sources of omic data. These approaches are cheap, flexible, extensible, often complementary and can continuously integrate new information and tests to improve the selection of genes responsible for hereditary diseases. Following this principle, we improved and extended our web-service TOM for the identification of candidate genes in the study of complex hereditary diseases.

Availability: Our tool is freely available online at http://www.micrel.deis.unibo.it/~tom/.

Contact: daniele.masotti{at}unibo.it

Supplementary information: Manuals and sample data are available in the Help section of the tool's web page.

Associate Editor: Joaquin Dopazo

Received on September 18, 2007; revised on November 11, 2007; accepted on November 23, 2007

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