This course covers the fundamentals of bioinformatics for cancer genomics, including topics such as mapping reads to a reference genome, gene expression analysis, somatic mutations, and data integration. Students will learn how to work reproducibly in the cloud, analyze big data, and discover gene fusions. The course uses a combination of lectures, hands-on exercises, and collaborative cloud-based tools. It is designed for individuals interested in bioinformatics, cancer genomics, and data analysis in the field of biology.
Overview
Syllabus
Introduction to Cancer Genomics.
Ethics of Data Usage and Security.
Cancer Databases.
Mapping Reads to a Reference Genome.
The Fundamentals of Genome Assembly.
Somatic Copy Number Alterations in Cancer.
Gene Expression (RNA-Seq).
Gene Fusion Discovery.
Sharing and Scaling a VM in the Collaboratory Cloud.
Working Reproducibly in the Cloud.
Big Data Analysis in the Cloud.
Variants to Networks.
Somatic Mutations and Annotations.
Data Integration.
Genes to Pathways.
Taught by
BioinformaticsDotCA
