Essentials of Genomics and Biomedical Informatics

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Week 1: The Data Revolution in Medicine

Description of medicine as a data driven science, and discussion of new approaches to identify or design drugs optimized for specific patients and disease characteristics. We will discuss the medical revolution that combines genomic information and machine learning techniques.

Week 2:Biological Sequence Analysis

Overview of biological sequences, how we compare pairs of sequences, perform multiple sequence alignment, and how to construct phylogenetic trees.

Week 3:Biological Databases and How to Search Them

Description of sequence databases, and introduction to BLAST, which is the main tool used to search in such databases. Then, we will mention additional genomic databases with clinical applications, and describe the UCSC genomic browser that is used for viewing multiple layers of genomic information.

Week 4: Next Generation Sequencing

Description of the technology used in Next Generation Sequencing, the computational analysis involved, and medical applications of the technology.

Week 5: Medical Machine Learning

Analysis of non-genomic types of medical data, such as those stored in Electronic Medical Records (EMRs). Harnessing modern machine learning algorithms to make sense of this data “jungle”, enable early detection and diagnosis, predict treatment outcome, and more.

Week 6: Artificial Intelligence in Medicine

Overview of today’s cutting edge technologies that strive to simulate the capabilities of human experts for medical purposes. These technologies include natural language processing, interpretation of medical images, development of decision support systems, and more.

Week 7: Systems Biology

Understanding biological systems as a dynamic network of interacting molecules. Application of this concept to rational drug design and the identification of disease biomarkers.

Week 8: Human Genomic Variations
The source of variations in the human genome and how we can predict the clinical implications of such variations. Consequences of such variations in monogenic and complex disease.

Week 9: Cancer as a Genomic Disease

Viewing cancer as a disease of the genome of each patient, from genetic predisposition to somatic mutations acquired later in life. Utilization of these concepts in immunotherapy.

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