• Data-driven assessment of eQTL mapping methods.

      Michaelson, Jacob J; Alberts, Rudi; Schughart, Klaus; Beyer, Andreas; Cellular Networks and Systems Biology, Biotechnology Center - TU Dresden, Dresden, Germany. (2010)
      The analysis of expression quantitative trait loci (eQTL) is a potentially powerful way to detect transcriptional regulatory relationships at the genomic scale. However, eQTL data sets often go underexploited because legacy QTL methods are used to map the relationship between the expression trait and genotype. Often these methods are inappropriate for complex traits such as gene expression, particularly in the case of epistasis.
    • QTLminer: identifying genes regulating quantitative traits.

      Alberts, Rudi; Schughart, Klaus; Helmholtz Centre for infection research, Inhoffenstr. 7, 38124 Braunschweig, Germany. (2010-10-15)
      Quantitative trait locus (QTL) mapping identifies genomic regions that likely contain genes regulating a quantitative trait. However, QTL regions may encompass tens to hundreds of genes. To find the most promising candidate genes that regulate the trait, the biologist typically collects information from multiple resources about the genes in the QTL interval. This process is very laborious and time consuming.