The subject focuses on the current quantitative understanding of human genetics and computational interdisciplinary research in genetics. Students will learn how to design, perform and analyze experiments to evaluate complex genome changes, gene expression and transcription factors activity. They will learn how to work with DNA sequences (contig assemblage, polymorphism identification, sequence annotation). Annotated sequences in public databases will then be used to analyze unknown sequences, identify them, or determine their function based on similarity to known sequences. Mutual sequence comparisons will allow identification of mutations and their impact in the form of genetically-mediated diseases. Particular emphasis will be placed on the analysis of "big" data and the acquisition of knowledge for the design and analysis of sequencing genomic assays.