Omics technologies for Neurosciences

Code 427EE
Credits 3

Learning outcomes

Introduction to anaylsis of RNA-seq data. ChiP-seq, Ribosome profiling . Proteomics. Elements of network theory. Application of network theory to connectomics. Weighted gene co-expression network analysis (WGCNA). Construction of networks with Cytoscape and WGCNA in R. Integration of different -omics data. Examples of applications of WGCA to the Neurosciences