Graphical Models and Inference on Graphs in Genomics: Challenges of high-throughput data analysis ABSTRACT: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. Did you like this research project? To get this research project Guidelines, Training and Code... Click Here facebook twitter google+ linkedin stumble pinterest Developing Algorithms to Discover Novel Cancer Genes: A look at the challenges and approaches High Dimensional Longitudinal Genomic Data: An analysis used for monitoring viral infections