Literature DB >> 18048394

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

Daniele Masotti1, Christine Nardini, Simona Rossi, Elena Bonora, Giovanni Romeo, Stefano Volinia, Luca Benini.   

Abstract

UNLABELLED: 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/.

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Year:  2007        PMID: 18048394     DOI: 10.1093/bioinformatics/btm588

Source DB:  PubMed          Journal:  Bioinformatics        ISSN: 1367-4803            Impact factor:   6.937


  9 in total

1.  Systematic biological prioritization after a genome-wide association study: an application to nicotine dependence.

Authors:  Scott F Saccone; Nancy L Saccone; Gary E Swan; Pamela A F Madden; Alison M Goate; John P Rice; Laura J Bierut
Journal:  Bioinformatics       Date:  2008-06-19       Impact factor: 6.937

2.  Adapting functional genomic tools to metagenomic analyses: investigating the role of gut bacteria in relation to obesity.

Authors:  Yuanhua Liu; Chenhong Zhang; Liping Zhao; Christine Nardini
Journal:  Brief Funct Genomics       Date:  2010-05-06       Impact factor: 4.241

3.  Protopia: a protein-protein interaction tool.

Authors:  Alejandro Real-Chicharro; Iván Ruiz-Mostazo; Ismael Navas-Delgado; Amine Kerzazi; Othmane Chniber; Francisca Sánchez-Jiménez; Miguel Angel Medina; José F Aldana-Montes
Journal:  BMC Bioinformatics       Date:  2009-10-15       Impact factor: 3.169

4.  Linking genes to diseases: it's all in the data.

Authors:  Nicki Tiffin; Miguel A Andrade-Navarro; Carolina Perez-Iratxeta
Journal:  Genome Med       Date:  2009-08-07       Impact factor: 11.117

5.  DADA: Degree-Aware Algorithms for Network-Based Disease Gene Prioritization.

Authors:  Sinan Erten; Gurkan Bebek; Rob M Ewing; Mehmet Koyutürk
Journal:  BioData Min       Date:  2011-06-24       Impact factor: 2.522

6.  GeneTIER: prioritization of candidate disease genes using tissue-specific gene expression profiles.

Authors:  Agne Antanaviciute; Catherine Daly; Laura A Crinnion; Alexander F Markham; Christopher M Watson; David T Bonthron; Ian M Carr
Journal:  Bioinformatics       Date:  2015-04-09       Impact factor: 6.937

7.  Predicting diabetes mellitus genes via protein-protein interaction and protein subcellular localization information.

Authors:  Xiwei Tang; Xiaohua Hu; Xuejun Yang; Yetian Fan; Yongfan Li; Wei Hu; Yongzhong Liao; Ming Cai Zheng; Wei Peng; Li Gao
Journal:  BMC Genomics       Date:  2016-08-18       Impact factor: 3.969

8.  GPSy: a cross-species gene prioritization system for conserved biological processes--application in male gamete development.

Authors:  Ramona Britto; Olivier Sallou; Olivier Collin; Grégoire Michaux; Michael Primig; Frédéric Chalmel
Journal:  Nucleic Acids Res       Date:  2012-05-08       Impact factor: 16.971

9.  ProSim: A Method for Prioritizing Disease Genes Based on Protein Proximity and Disease Similarity.

Authors:  Gamage Upeksha Ganegoda; Yu Sheng; Jianxin Wang
Journal:  Biomed Res Int       Date:  2015-08-03       Impact factor: 3.411

  9 in total

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