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

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

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

22 Scopus citations

Abstract

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.

Original languageEnglish (US)
Pages (from-to)509-511
Number of pages3
JournalBioinformatics
Volume22
Issue number4
DOIs
StatePublished - Feb 15 2006

ASJC Scopus subject areas

  • Statistics and Probability
  • Biochemistry
  • Molecular Biology
  • Computer Science Applications
  • Computational Theory and Mathematics
  • Computational Mathematics

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