Literature DB >> 21779998

Web tools for the prioritization of candidate disease genes.

Martin Oti1, Sara Ballouz, Merridee A Wouters.   

Abstract

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.

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Year:  2011        PMID: 21779998     DOI: 10.1007/978-1-61779-176-5_12

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  11 in total

Review 1.  Computational tools for prioritizing candidate genes: boosting disease gene discovery.

Authors:  Yves Moreau; Léon-Charles Tranchevent
Journal:  Nat Rev Genet       Date:  2012-07-03       Impact factor: 53.242

2.  Biological Network Mining.

Authors:  Zongliang Yue; Da Yan; Guimu Guo; Jake Y Chen
Journal:  Methods Mol Biol       Date:  2021

3.  Pathway analyses and understanding disease associations.

Authors:  Yu Liu; Mark R Chance
Journal:  Curr Genet Med Rep       Date:  2013-12-01

4.  Candidate disease gene prediction using Gentrepid: application to a genome-wide association study on coronary artery disease.

Authors:  Sara Ballouz; Jason Y Liu; Martin Oti; Bruno Gaeta; Diane Fatkin; Melanie Bahlo; Merridee A Wouters
Journal:  Mol Genet Genomic Med       Date:  2013-11-13       Impact factor: 2.183

5.  HGPEC: a Cytoscape app for prediction of novel disease-gene and disease-disease associations and evidence collection based on a random walk on heterogeneous network.

Authors:  Duc-Hau Le; Van-Huy Pham
Journal:  BMC Syst Biol       Date:  2017-06-15

Review 6.  Recent advances in predicting gene-disease associations.

Authors:  Kenneth Opap; Nicola Mulder
Journal:  F1000Res       Date:  2017-04-26

7.  A large-scale benchmark of gene prioritization methods.

Authors:  Dimitri Guala; Erik L L Sonnhammer
Journal:  Sci Rep       Date:  2017-04-21       Impact factor: 4.379

8.  BEERE: a web server for biomedical entity expansion, ranking and explorations.

Authors:  Zongliang Yue; Christopher D Willey; Anita B Hjelmeland; Jake Y Chen
Journal:  Nucleic Acids Res       Date:  2019-07-02       Impact factor: 16.971

9.  Harnessing gene expression networks to prioritize candidate epileptic encephalopathy genes.

Authors:  Karen L Oliver; Vesna Lukic; Natalie P Thorne; Samuel F Berkovic; Ingrid E Scheffer; Melanie Bahlo
Journal:  PLoS One       Date:  2014-07-09       Impact factor: 3.240

10.  Identification of novel therapeutics for complex diseases from genome-wide association data.

Authors:  Mani P Grover; Sara Ballouz; Kaavya A Mohanasundaram; Richard A George; Craig D H Sherman; Tamsyn M Crowley; Merridee A Wouters
Journal:  BMC Med Genomics       Date:  2014-05-08       Impact factor: 3.063

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