Skip Navigation



Bioinformatics Advance Access published online on November 29, 2007
Bioinformatics, doi:10.1093/bioinformatics/btm588
This Article
Right arrow Advance Access manuscript (PDF)
Right arrow All Versions of this Article:
24/3/428    most recent
btm588v1
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Add to My Personal Archive
Right arrow Download to citation manager
Right arrowRequest Permissions
Google Scholar
Right arrow Articles by Masotti, D.
Right arrow Articles by Benini, L.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Masotti, D.
Right arrow Articles by Benini, L.
Social Bookmarking
Add to CiteULike   Add to Connotea   Add to Del.icio.us  
What's this?

© 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 complex disorders

Daniele Masotti a,*, Christine Nardini a, Simona Rossi b, Elena Bonora c, Giovanni Romeo c, Stefano Volinia b and Luca Benini a

aDipartimento di Elettronica, Informatica e Sistemistica (DEIS),University of Bologna, Viale Risorgimento 2, 40136 Bologna, Italy, bFunctional 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, Italy, cUnità di Genetica Medica, Policlinico S. Orsola, via Massarenti 9, 40138 Bologna, Italy

*To whom correspondence should be addressed. Dr. Daniele Masotti, E-mail: daniele.masotti{at}unibo.it


  Abstract

Summary: 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://wwwmicrel.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: Dr. Joaquin Dopazo

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

Add to CiteULike CiteULike   Add to Connotea Connotea   Add to Del.icio.us Del.icio.us    What's this?




Disclaimer:
Please note that abstracts for content published before 1996 were created through digital scanning and may therefore not exactly replicate the text of the original print issues. All efforts have been made to ensure accuracy, but the Publisher will not be held responsible for any remaining inaccuracies. If you require any further clarification, please contact our Customer Services Department.