The Genomics of Gene Expression lab presents the second edition of this course that aims to teach the students how to perform an integrative analysis of different omic data types in order to model the regulation of gene expression. To this end, we will first study in depth the pre-processing and statistical analysis of the different omic data types with a special focus on Next Generation Sequencing technologies such as RNA-seq, ChIP-seq, ATAC-seq, DNA-seq and Methyl-seq, but also metabolomics or proteomics. Next, we will study several integration examples to cover different integration strategies. All these lectures will be complemented with hands-on sessions. R programming language will be mostly used. Finally, we will also have a longer practical session to recapitulate all the learned lessons by solving a real integration problem. During this last session, the students can analyze either their own data or the data provided by the organizers

The course is targeted to students and researchers with some experience in bioinformatics analysis and R programming language that wish to learn more about the integration of different omic data types.

The course is restricted to a maximum of 25 participants.

Further information at: