Principles and practice of large scale data analysis using R 2021-1. (TA)

The course is intended for graduate students in Life Sciences. The goal of the course is to enable students to use the R programming language as a tool to extract biological insight from high throughput data.

We are intending to keep a record of this year’s course in the form of a companion e-Book.

Topics covered range but are not limited to:

• Introduction to the R language, Rstudio IDE, and basic data structures.
• Control flow, conditionals and loops.
• Introduction to genomic data.
• Cluster analysis, and machine learning.
• Data visualization.

Course lectured by Igor Ultisky, Schraga Schwartz and Emmanuel Levy.