Primary concepts in Bioinformatics- To Make Sense Of large scale Biological and Biomedical Data

Catalog description

Every biological problem to be nowadays in cancer biology, stem cell research, biological drug discovery or predictive disease modeling requires a large-scale bioinformatics analysis to make deeper insights leading to therapeutics and drug development. This course will start with a brief introduction in bioinformatics and then focus on key computational techniques and algorithms used to studying different areas like Genome Wide Association studies in psychiatric disorders, supervised and unsupervised machine learning approaches to make sense of biological image, single-cell perturbation data to biomarker discovery in cancer. The course will have some hands-on analysis components with both bulk and single cell RNA sequencing data with context to some disease models and organismal systems.