This course covers the integration of clinical data, somatic mutations, pathway analysis, biological interpretations, copy number alterations, gene expression profiling, and visualizing cancer genomic data. The course aims to teach students the skills needed to analyze cancer genomics data effectively. The teaching method involves a combination of lectures, practical exercises, and hands-on projects. This course is intended for individuals interested in bioinformatics, cancer genomics, or related fields.
Overview
Syllabus
Integration of Clinical Data Part 1.
Introduction to Cancer Genomics.
Somatic Mutations.
Integration of Clinical Data Part 2.
Pathway Analysis and Biological Interpretations Part 3.
Pathway Analysis and Biological Interpretations Part 2.
Copy Number Alterations.
Gene Expression Profiling.
Visualizing Cancer Genomic Data.
Taught by
BioinformaticsDotCA
