title: REVEAL--visual eQTL analytics.
abstract: BACKGROUND
  The analysis of expression quantitative trait locus (eQTL) data is a challenging scientific endeavor, involving the processing of very large, heterogeneous and complex data. Typical eQTL analyses involve three types of data: sequence-based data reflecting the genotypic variations, gene expression data and meta-data describing the phenotype. Based on these, certain genotypes can be connected with specific phenotypic outcomes to infer causal associations of genetic variation, expression and disease. To this end, statistical methods are used to find significant associations between single nucleotide polymorphisms (SNPs) or pairs of SNPs and gene expression. A major challenge lies in summarizing the large amount of data as well as statistical results and to generate informative, interactive visualizations.
  
  
  RESULTS
  We present Reveal, our visual analytics approach to this challenge. We introduce a graph-based visualization of associations between SNPs and gene expression and a detailed genotype view relating summarized patient cohort genotypes with data from individual patients and statistical analyses.
  
  
  BACKGROUND
  Reveal is included in Mayday, our framework for visual exploration and analysis. It is available at http://it.inf.uni-tuebingen.de/software/reveal/.
  
  
  BACKGROUND
  guenter.jaeger@uni-tuebingen.de.
authors.affiliation: Integrative Transcriptomics, Center for Bioinformatics, University of Tübingen, 72076 Tübingen, Germany. guenter.jaeger@uni-tuebingen.de
authors.forename: Günter
authors.initials: G
authors.lastname: Jäger
authors.forename: Florian
authors.initials: F
authors.lastname: Battke
authors.forename: Kay
authors.initials: K
authors.lastname: Nieselt
mesh_terms: D003196:Computer Graphics; D015870:Gene Expression; D053263:Gene Regulatory Networks; D056726:Genetic Association Studies; D014644:Genetic Variation; D005838:Genotype; D006801:Humans; D010641:Phenotype; D020641:Polymorphism, Single Nucleotide; D040641:Quantitative Trait Loci; D012984:Software