Lecture 1: Multiomics Integration
With the wealth of omics data that is rapidly and continuously being generated, new computational methods are required to interpret data-centric studies aiming to integrate multiple omics data types. This session will focus on analysis techniques for integrating diverse data modalities, including RNA-Seq, whole genome sequencing, proteomics, and metabolomics, and complementary statistical analysis methods to uncover important biological insights from these highly complex datasets.