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

doi:10.1093/bioinformatics/btk007

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 journal › Article › peer-review

23 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 language	English (US)
Pages (from-to)	509-511
Number of pages	3
Journal	Bioinformatics
Volume	22
Issue number	4
DOIs	https://doi.org/10.1093/bioinformatics/btk007
State	Published - Feb 15 2006
Externally published	Yes

Bibliographical note

Funding Information:
We thank Fiona Maciver, Michal Pravenec, Norbert Hn€bner and the Bioinformatics Support Service, Imperial College for their contributions. This work was funded by the MRC Clinical Sciences Centre

ASJC Scopus subject areas

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

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10.1093/bioinformatics/btk007

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title = "eQTL Explorer: Integrated mining of combined genetic linkage and expression experiments",

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.",

author = "Michael Mueller and Anuj Goel and Manjula Thimma and Dickens, {Nicholas J.} and Aitman, {Timothy J.} and Jonathan Mangion",

note = "Funding Information: We thank Fiona Maciver, Michal Pravenec, Norbert Hn€bner and the Bioinformatics Support Service, Imperial College for their contributions. This work was funded by the MRC Clinical Sciences Centre",

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day = "15",

doi = "10.1093/bioinformatics/btk007",

language = "English (US)",

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T2 - Integrated mining of combined genetic linkage and expression experiments

AU - Mueller, Michael

AU - Goel, Anuj

AU - Thimma, Manjula

AU - Dickens, Nicholas J.

AU - Aitman, Timothy J.

AU - Mangion, Jonathan

N1 - Funding Information: We thank Fiona Maciver, Michal Pravenec, Norbert Hn€bner and the Bioinformatics Support Service, Imperial College for their contributions. This work was funded by the MRC Clinical Sciences Centre

PY - 2006/2/15

Y1 - 2006/2/15

N2 - 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.

AB - 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.

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U2 - 10.1093/bioinformatics/btk007

DO - 10.1093/bioinformatics/btk007

M3 - Article

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EP - 511

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JF - Bioinformatics

IS - 4

ER -

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

Abstract

Bibliographical note

ASJC Scopus subject areas

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