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

ASJC Scopus subject areas

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

Access to Document

10.1093/bioinformatics/btk007

Cite this

@article{946e20713dc44e5e8fe97c9655106941,

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",

year = "2006",

month = feb,

day = "15",

doi = "10.1093/bioinformatics/btk007",

language = "English (US)",

volume = "22",

pages = "509--511",

journal = "Bioinformatics",

issn = "1367-4803",

publisher = "Oxford University Press",

number = "4",

}

TY - JOUR

T1 - eQTL Explorer

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.

UR - http://www.scopus.com/inward/record.url?scp=32544438941&partnerID=8YFLogxK

U2 - 10.1093/bioinformatics/btk007

DO - 10.1093/bioinformatics/btk007

M3 - Article

C2 - 16357031

AN - SCOPUS:32544438941

SN - 1367-4803

VL - 22

SP - 509

EP - 511

JO - Bioinformatics

JF - Bioinformatics

IS - 4

ER -

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

Abstract

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this