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eQTL Viewer: visualizing how sequence variation affects genome-wide transcription
Authors:Wei Zou  David L Aylor  Zhao-Bang Zeng
Affiliation:(1) Bioinformatics Research Center, North Carolina State University, Raleigh, NC 27695-7566, USA;(2) Department of Statistics, North Carolina State University, Raleigh, NC 27695-7566, USA;(3) Department of Genetics, North Carolina State University, Raleigh, NC 27695-7566, USA
Abstract:

Background  

Expression Quantitative Trait Locus (eQTL) mapping methods have been used to identify the genetic basis of gene expression variations. To map eQTL, thousands of expression profiles are related with sequence polymorphisms across the genome through their correlated variations. These eQTL distribute in many chromosomal regions, each of which can include many genes. The large number of mapping results produced makes it difficult to consider simultaneously the relationships between multiple genomic regions and multiple expressional profiles. There is a need for informative bioinformatics tools to assist the visualization and interpretation of these mapping results.
Keywords:
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