Dive into the world of cancer genomics through a comprehensive 2.5-hour tutorial series. Explore various aspects of data science in cancer research, including accessing RNA sequencing data from Cbioportal, utilizing public microarray and high-throughput sequencing databases like GEO and ArrayExpress, and analyzing big data in cancer genomics. Learn about different NGS techniques, copy number variation analysis using GISTIC, and gain insights into lung adenocarcinoma through a multi-part lecture by Dr. Mathew Meyerson. Master the tools and techniques essential for understanding and interpreting cancer genomic data in this informative and practical guide.
Overview
Syllabus
Cancer Genomics (Part 3): Easy guide to access RNA sequencing data of cancer (Example: Cbioportal).
How to access publicly available microarray or high-throughput sequencing data (GEO).
A User-Friendly Guide for Analyzing Big Data of Cancer Genomics.
Cancer Genomics - Data science (Part 1).
Copy Number Variation Analysis using GISTIC - Tutorial.
How to access publicly available microarray or high-throughput sequencing data from ArrayExpress?.
Cancer Genomics - Types of NGS techniques (Part 2).
Lung Adenocarcinoma - Mathew Meyerson M.D, Ph.D (Part 1).
Lung Adenocarcinoma - Mathew Meyerson M.D, Ph.D PART 2.
Lung Adenocarcinoma - Mathew Meyerson M.D, Ph.D Part 3.
Taught by
Farhan Haq
