Dive into the world of cancer genomics through this comprehensive 19-hour course. Learn about the ethical considerations in data usage and security, explore cancer databases, and master techniques for mapping reads to reference genomes. Gain insights into genome assembly fundamentals, somatic copy number alterations, and gene expression analysis using RNA-Seq. Discover methods for gene fusion detection and understand how to work with virtual machines in cloud environments. Explore big data analysis techniques, variant annotation, and data integration in cancer research. Investigate the connection between genes and pathways, and develop skills for reproducible research in bioinformatics. This course, offered by BioinformaticsDotCA, equips you with essential knowledge and tools for conducting cutting-edge cancer genomics research.
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
