Graphical Models and Inference on Graphs in Genomics: Challenges of high-throughput data analysis

Recent technological advances in high-throughput molecular screening and DNA sequencing have enabled acquisition of enormous amounts of biological data that may provide critical information about the functionality of cells and organisms [1], help reveal mechanisms of genetic diseases and disorders [2], improve the efficiency of the drug discovery process [3], and enable development of diagnostic techniques and therapies [4]. Novel sequencing methods allow fast and affordable deciphering of individual genomes and thus enable studies of genetic variations and the effects they have on human health and medical treatments.