Literature DB >> 16357031

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

Michael Mueller1, Anuj Goel, Manjula Thimma, Nicholas J Dickens, Timothy J Aitman, Jonathan Mangion.   

Abstract

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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Year:  2005        PMID： 16357031     DOI： 10.1093/bioinformatics/btk007

Source DB:  PubMed          Journal:  Bioinformatics        ISSN： 1367-4803            Impact factor:   6.937


  12 in total

1.  Genevar: a database and Java application for the analysis and visualization of SNP-gene associations in eQTL studies.

Authors:  Tsun-Po Yang; Claude Beazley; Stephen B Montgomery; Antigone S Dimas; Maria Gutierrez-Arcelus; Barbara E Stranger; Panos Deloukas; Emmanouil T Dermitzakis
Journal:  Bioinformatics       Date:  2010-08-10       Impact factor: 6.937

2.  FunctSNP: an R package to link SNPs to functional knowledge and dbAutoMaker: a suite of Perl scripts to build SNP databases.

Authors:  Stephen J Goodswen; Cedric Gondro; Nathan S Watson-Haigh; Haja N Kadarmideen
Journal:  BMC Bioinformatics       Date:  2010-06-09       Impact factor: 3.169

3.  What everybody should know about the rat genome and its online resources.

Authors:  Simon N Twigger; Kim D Pruitt; Xosé M Fernández-Suárez; Donna Karolchik; Kim C Worley; Donna R Maglott; Garth Brown; George Weinstock; Richard A Gibbs; Jim Kent; Ewan Birney; Howard J Jacob
Journal:  Nat Genet       Date:  2008-05       Impact factor: 38.330

Review 4.  Integrated gene expression profiling and linkage analysis in the rat.

Authors:  Enrico Petretto; Jonathan Mangion; Michal Pravanec; Norbert Hubner; Timothy J Aitman
Journal:  Mamm Genome       Date:  2006-06-12       Impact factor: 2.957

Review 5.  Candidate gene association studies: a comprehensive guide to useful in silico tools.

Authors:  Radhika Patnala; Judith Clements; Jyotsna Batra
Journal:  BMC Genet       Date:  2013-05-09       Impact factor: 2.797

6.  Integrated genomic approaches to identification of candidate genes underlying metabolic and cardiovascular phenotypes in the spontaneously hypertensive rat.

Authors:  Catherine Morrissey; Ian C Grieve; Matthias Heinig; Santosh Atanur; Enrico Petretto; Michal Pravenec; Norbert Hubner; Timothy J Aitman
Journal:  Physiol Genomics       Date:  2011-08-16       Impact factor: 3.107

7.  eQTL Viewer: visualizing how sequence variation affects genome-wide transcription.

Authors:  Wei Zou; David L Aylor; Zhao-Bang Zeng
Journal:  BMC Bioinformatics       Date:  2007-01-09       Impact factor: 3.169

8.  REVEAL--visual eQTL analytics.

Authors:  Günter Jäger; Florian Battke; Kay Nieselt
Journal:  Bioinformatics       Date:  2012-09-15       Impact factor: 6.937

9.  Drosophila melanogaster as a model for lead neurotoxicology and toxicogenomics research.

Authors:  Helmut V B Hirsch; Gregory Lnenicka; Debra Possidente; Bernard Possidente; Mark D Garfinkel; Luan Wang; Xiangyi Lu; Douglas M Ruden
Journal:  Front Genet       Date:  2012-05-04       Impact factor: 4.599

10.  Genome-wide co-expression analysis in multiple tissues.

Authors:  Ian C Grieve; Nicholas J Dickens; Michal Pravenec; Vladimir Kren; Norbert Hubner; Stuart A Cook; Timothy J Aitman; Enrico Petretto; Jonathan Mangion
Journal:  PLoS One       Date:  2008-12-29       Impact factor: 3.240
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