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Web tools for the prioritization of candidate disease genes

Oti, Martin, Ballouz, Sara and Wouters, Merridee A. 2011, Web tools for the prioritization of candidate disease genes, in In silico tools for gene discovery, Humana Press, New York, N.Y., pp.189-206.

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Title Web tools for the prioritization of candidate disease genes
Author(s) Oti, Martin
Ballouz, Sara
Wouters, Merridee A.
Title of book In silico tools for gene discovery
Editor(s) Yu, Bing
Hinchcliffe, Marcus
Publication date 2011
Series Methods in molecular biology
Chapter number 12
Total chapters 21
Start page 189
End page 206
Total pages 18
Publisher Humana Press
Place of Publication New York, N.Y.
Keyword(s) bioinformatics
disease gene prediction
disease gene prioritization
genetic diseases
genome
phenotype
Summary Despite increasing sequencing capacity, genetic disease investigation still frequently results in the identification of loci containing multiple candidate disease genes that need to be tested for involvement in the disease. This process can be expedited by prioritizing the candidates prior to testing. Over the last decade, a large number of computational methods and tools have been developed to assist the clinical geneticist in prioritizing candidate disease genes. In this chapter, we give an overview of computational tools that can be used for this purpose, all of which are freely available over the web.
ISBN 9781617791758
ISSN 1064-3745
Language eng
Field of Research 060102 Bioinformatics
Socio Economic Objective 920110 Inherited Diseases (incl. Gene Therapy)
HERDC Research category B1 Book chapter
HERDC collection year 2011
Copyright notice ©2011, Springer Science+Business Media, LLC
Persistent URL http://hdl.handle.net/10536/DRO/DU:30043167

Document type: Book Chapter
Collection: School of Life and Environmental Sciences
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