Basic Information
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. In 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 134154 - Biostatistics For Biologists and 234128 - Introduction to Computing With Python) or (134020 - General Genetics and 134154 - Biostatistics For Biologists and 134158 - Tools in Bioinformatics For Life Science) or (134020 - General Genetics and 134141 - Computational Biology and 134154 - Biostatistics For Biologists) or (134020 - General Genetics and 134154 - Biostatistics For Biologists and 236523 - Introduction to Bioinformatics) or (134058 - Biology 1 and 134154 - Biostatistics For Biologists and 134158 - Tools in Bioinformatics For Life Science and 234128 - Introduction to Computing With Python) or (134058 - Biology 1 and 134154 - Biostatistics For Biologists and 134158 - Tools in Bioinformatics For Life Science) or (134082 - Molecular Biology and 134154 - Biostatistics For Biologists and 236523 - Introduction to Bioinformatics) or (134082 - Molecular Biology and 134141 - Computational Biology and 134154 - Biostatistics For Biologists) or (134082 - Molecular Biology and 134154 - Biostatistics For Biologists and 234128 - Introduction to Computing With Python)