I The basics: What is computational proteomics?
Basic notions in molecular biology
Multiple sequence alignment and partial order graphs
Markov models of protein families
Protein structure analysis
II Putting all the pieces together: Clustering and classification
Embedding Algorithms and Vectorial Representations
Analysis of gene expression data
Protein-protein interactions
Learning Gene Networks with Bayesian Networks.