A powerful and flexible statistical framework for testing hypotheses of allele-specific gene expression from RNA-seq data.

Abstract excerpt

Variation in gene expression is thought to make a significant contribution to phenotypic diversity among individuals within populations. Although high-throughput cDNA sequencing offers a unique opportunity to delineate the genome-wide architecture of regulatory variation, new statistical methods need to be developed to capitalize on the wealth of information contained in RNA-seq data sets. To this end, we...

Topics

• Alleles
• Alternative Splicing
• Bayes Theorem
• Gene Expression
• Humans
• Markov Chains
• Models, Genetic
• Monte Carlo Method
• Polymorphism, Single Nucleotide
• ROC Curve
• Saccharomyces cerevisiae