eQTL Explorer: integrated mining of combined genetic linkage and expression experiments | Zendy

Michael Mueller | Zendy; Anuj Goel | Zendy; Manjula Thimma | Zendy; Nicholas J. Dickens | Zendy; Timothy J. Aitman | Zendy; Jonathan Mangion | Zendy

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eQTL Explorer: integrated mining of combined genetic linkage and expression experiments

Author(s) -

Michael Mueller,

Anuj Goel,

Manjula Thimma,

Nicholas J. Dickens,

Timothy J. Aitman,

Jonathan Mangion

Publication year - 2005

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/btk007

Subject(s) - expression quantitative trait loci , linkage (software) , computational biology , expression (computer science) , computer science , data mining , genetic linkage , biology , genetics , gene , genotype , single nucleotide polymorphism , programming language

The development of computational resources to visualize and explore data from combined genome-wide expression and linkage studies is essential for the development of testable hypotheses. eQTL Explorer stores expression profiles, linkage data and information from external sources in a relational database and enables simultaneous visualization and intuitive interpretation of the combined data via a Java graphical interface. eQTL Explorer provides a new and powerful tool to interrogate these very large and complex datasets.

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