Bioinformatics for Cancer Genomics 2016

Explore key bioinformatics concepts and tools for analyzing cancer genomic data sets in this comprehensive 12-hour course. Delve into topics such as introduction to cancer genomics, databases and visualization tools, mapping and genome rearrangements, finding somatic mutations in cancer genome sequence data, gene expression analysis, variants to networks, data integration, and gene fusion discovery. Access tutorials and lecture slides to enhance your learning experience and gain practical skills in bioinformatics for cancer research.

Introduction to Cancer Genomics.
Databases and Visualization Tools.
Mapping and Genome Rearrangements.
Finding Somatic Mutations in Cancer Genome Sequence Data.
Gene Expression.
Variants to Networks Part I.
Variants to Networks Part 3.
Data Integration.
Gene Fusion Discovery.