Program Overview

Program Overview

Network Analysis in Systems Biology is an introduction to data integration and statistical methods used in contemporary Systems Biology, Bioinformatics, and Systems Pharmacology research. The course covers methods to process raw data from genome-wide mRNA expression studies, including data normalization, differential expression, clustering, enrichment analysis, and network construction.

Course Content

The course contains practical tutorials for using tools and setting up pipelines, as well as covering the mathematics behind the methods applied within the tools. The ultimate aim of the course is to enable participants to utilize the methods presented in this course for analyzing their own data for their own projects.

Target Audience

The course is mostly appropriate for beginning graduate students and advanced undergraduates majoring in fields such as:

• Biology
• Math
• Physics
• Chemistry
• Computer science
• Biomedical and electrical engineering The course should be useful for researchers who encounter large datasets in their own research.

Research Areas

The course presents software, apps, and tools developed by the Ma'ayan Laboratory, as well as other freely available data analysis and visualization tools. The course introduces the current research challenges faced in the field of computational systems biology.

Course Objectives

The course aims to introduce participants to the current research challenges faced in the field of computational systems biology and to enable them to analyze their own data using the methods presented in the course.