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Bioinformatics Advance Access originally published online on December 15, 2005
Bioinformatics 2006 22(4):509-511; doi:10.1093/bioinformatics/btk007
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© The Author 2005. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oxfordjournals.org

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

Michael Mueller , Anuj Goel , Manjula Thimma , Nicholas J Dickens , Timothy J. Aitman * and Jonathan Mangion *

MRC Clinical Sciences Centre, Imperial College London W12 0NN, UK

*To whom correspondence should be addressed.

Summary: 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.

Availability: The application is freely available for non-commercial research.

Contact: jon.mangion{at}csc.mrc.ac.uk

Supplementary Information: Documentation, source code and a demonstration version are available at www.bioinformatics.ic.ac.uk/eqtl/

Received on September 30, 2005; revised on November 23, 2005; accepted on December 12, 2005

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