A computational system to select candidate genes for complex human traits | Zendy

Kyle J. Gaulton | Zendy; Karen L. Mohlke | Zendy; Todd Vision | Zendy

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A computational system to select candidate genes for complex human traits

Author(s) -

Kyle J. Gaulton,

Karen L. Mohlke,

Todd Vision

Publication year - 2007

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/btm001

Subject(s) - biology , trait , gene , candidate gene , identification (biology) , genetics , computational biology , phenotypic trait , genome , human genome , quantitative trait locus , phenotype , computer science , botany , programming language

Identification of the genetic variation underlying complex traits is challenging. The wealth of information publicly available about the biology of complex traits and the function of individual genes permits the development of informatics-assisted methods for the selection of candidate genes for these traits.

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