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Genevar: a database and Java application for the analysis and visualization of SNP-gene associations in eQTL studies
Tsun-Po Yang1, Claude Beazley, Stephen B Montgomery
1Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge CB10 1HH, UK.
Bioinformatics (Oxford, England)
|August 13, 2010
Summary
Genevar is a database and Java tool for analyzing gene expression variations and sequence associations. It enables real-time investigation of expression quantitative trait loci (eQTL) and can be shared via web services.
Area of Science:
- Bioinformatics
- Genomics
- Computational Biology
Background:
- Genevar integrates multiple datasets for analyzing gene expression and sequence variation.
- It facilitates the study of expression quantitative trait loci (eQTL).
Purpose of the Study:
- To provide a tool for real-time analysis and visualization of sequence variation and gene expression associations.
- To enable researchers to investigate eQTL associations within specific gene loci.
Main Methods:
- Development of a Java tool and database named Genevar.
- Integration of multiple biological datasets.
- Implementation of web services protocols for internet-based sharing.
Main Results:
- Genevar allows for real-time analysis of eQTL associations.
- The tool can be installed locally or on a server for broader access.
- Facilitates sharing of discoveries within research communities.
Conclusions:
- Genevar provides a valuable resource for researchers studying gene expression and sequence variation.
- The tool's accessibility via web services promotes collaborative research.
- Enables efficient investigation of genetic factors influencing gene expression.
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