2005BMC BioinformaticsOpen access

System level visualization of eQTLs and pQTLs

Joanna Jakubowska, Ela Hunt, Matthew Chalmers, David P. Leader, Martin McBride, Anna F. Dominiczak

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Abstract

Effective visualisation of syntenic genome areas and QTLs derived from physiological and expression data is an unresolved issue. We are investigating genomic visualizations including SyntenyVista2 and Der Browser3 in order to establish the best way to integrate and display these data, and support the use of synteny in the identification of genes responsible for cardiovascular phenotypes. We are showing information regarding eQTLs and pQTLs for the rat1 integrated with data from Ensembl. Initial data representation uses Der Browser. We are also integrating the addition of further data from the MGI, OMIM and RGD. In the next step we will serve these data using SyntenyVista and possibly some other package.

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What this paper is about

Effective visualisation of syntenic genome areas and QTLs derived from physiological and expression data is an unresolved issue. We are investigating genomic visualizations including SyntenyVista2 and Der Browser3 in order to establish the best way to integrate and display these data, and support the use of synteny in the identification of genes responsible for cardiovascular phenotypes. We are showing information regarding eQTLs and pQTLs for the rat1 integrated with data from Ensembl. Initial data representation uses Der Browser. We are also integrating the addition of further data from the MGI, OMIM and RGD. In the next step we will serve these data using SyntenyVista and possibly some other package.

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Available abstract

Effective visualisation of syntenic genome areas and QTLs derived from physiological and expression data is an unresolved issue. We are investigating genomic visualizations including SyntenyVista2 and Der Browser3 in order to establish the best way to integrate and display these data, and support the use of synteny in the identification of genes responsible for cardiovascular phenotypes. We are showing information regarding eQTLs and pQTLs for the rat1 integrated with data from Ensembl. Initial data representation uses Der Browser. We are also integrating the addition of further data from the MGI, OMIM and RGD. In the next step we will serve these data using SyntenyVista and possibly some other package.

Key concepts: Synteny, Ensembl, Genome browser, Visualization, Computational biology, Data visualization, Genome, Computer science

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