Instructor:
Alexey Nesvizhskii, Ph.D.
Introduction to proteomics, mass spectrometry, peptide identification and protein inference, statistical methods and computational algorithms, post-translational modifications, genome annotation and alternative splicing, quantitative proteomics and differential protein expression analysis, protein-protein interaction networks and protein complexes, data mining and analysis of large-scale data sets, clinical applications, related technologies such a metabolomics and protein arrays, data integration and systems biology.
Prerequisites:
Bio Chem and calculus.
Credits:
3
Instruction Mode: Online – Synchronous