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A guide to web tools to prioritize candidate genes

被引：134
作者：
Tranchevent, Leon-Charles
Capdevila, Francisco Bonachela
Nitsch, Daniela
De Moor, Bart
De Causmaecker, Patrick
Moreau, Yves [1 ,2 ]
机构：
[1] Katholieke Univ Leuven, Dept Elect Engn, ESAT SCD, Leuven, Belgium
[2] Katholieke Univ Leuven, SymBioSys Ctr Computat Syst Biol, Leuven, Belgium
来源：
BRIEFINGS IN BIOINFORMATICS | 2011年 / 12卷 / 01期
关键词：
gene prioritization; candidate gene; disease gene; in silico prediction; review; DISEASE GENES; INTEGRATED APPROACH; SEARCH; IDENTIFICATION; NETWORK; OBESITY; BIOINFORMATICS; EXPRESSION; PREDICTION; PHENOTYPE;
D O I：
10.1093/bib/bbq007
中图分类号：
Q5 [生物化学];
学科分类号：
071010 ; 081704 ;
摘要：
Finding the most promising genes among large lists of candidate genes has been defined as the gene prioritization problem. It is a recurrent problem in genetics in which genetic conditions are reported to be associated with chromosomal regions. In the last decade, several different computational approaches have been developed to tackle this challenging task. In this study, we review 19 computational solutions for human gene prioritization that are freely accessible as web tools and illustrate their differences. We summarize the various biological problems to which they have been successfully applied. Ultimately, we describe several research directions that could increase the quality and applicability of the tools. In addition we developed a website (http://www.esat.kuleuven.be/gpp) containing detailed information about these and other tools, which is regularly updated. This review and the associated website constitute together a guide to help users select a gene prioritization strategy that suits best their needs.
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收藏
页码：22 / 32
页数：11
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