- Introduction to artificial intelligence/machine learning key concepts and applications in genomics and proteomics.
- The importance of structural biology in the development of new drugs.
- Hands on application of machine learning to a well known biological problem.
- Hands on session on vizualization and modeling of proteins.
- Basic knowledge of bacterial genetics and genomics.
- Introduction and applications of OMICs data to Microbiology.
- Overview of the main Next-Generation Sequencing (NGS) platforms for acquisition of genomic data.
- Hand-on on acquisition of NGS raw reads, raw reads evaluation and cleaning, species identification, de novo assembly and quality control, genome annotation, and resistome and virulome analysis.
- Familiarization with key concepts of Molecular Systems Biology.
- Hands-on familiarization with kinetic modeling and systems analysis of biochemical processes, including:
o understanding fundamental concepts of chemical kinetics,
o Drawing rigorous graphical representations of biochemical processes
o Setting up mathematical models based on ordinary differential equations
o Implementing the models in a widely available software application
o Running simulations
o Applying systems analysis methods such as stability and sensitivity analysis to explore and understand the properties and design principles of prevalent regulatory motifs in biochemical networks
- Familiarization with recent advances in the mathematical modeling of biochemical systems in biomedical and biotechnological settings.