The Course Will Introduce The Students to Modern Bioinformatics Programming, Accessing Public Genomic Data and Performing State-of-the-art Genomic Computational Analyses. Throughout The Course, The Students Will Experience Analyzing Different Types Of Genome-scale Data, Including Gene Expression, Epigenetics And Single-cell Data, While Learning Topics in Statistics, Machine-learning, Visualization and Reproducibility. Learning Outcomes# at The End of The Course The Student Will Be Able To# 1. Code in R and Use Different Libraries to Perform Advanced Analyses. 2. Download Different Types of Genomic Data From Public Resources, Run A Complete Analytic Pipeline and Extract Insights From The Data._ 3. Use Statistical Tools to Extract Insights That Are Robust And Significant.

Faculty: Biology
|Graduate Studies

Pre-required courses

(134020 - General Genetics and 134082 - Molecular Biology and 134154 - Biostatistics For Biologists and 236523 - Introduction to Bioinformatics)


Course with no extra credit

138046 - Genomic Data Science


Semestrial Information