This course covers the key bioinformatics concepts and tools required to analyze cancer genomic data sets. The learning outcomes include understanding cancer genomics, utilizing databases and visualization tools, analyzing genome rearrangements, identifying somatic mutations, exploring gene expression, integrating data, and discovering gene fusions. The teaching method involves tutorials and lecture slides. The intended audience for this course is individuals interested in bioinformatics and cancer genomics.
Overview
Syllabus
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.
Taught by
BioinformaticsDotCA
