Bioinformatics for Cancer Genomics 2015
Offered By: BioinformaticsDotCA via YouTube
Course Description
Overview
Explore the fundamental concepts and advanced techniques in bioinformatics applied to cancer genomics through this comprehensive 9-hour course. Delve into crucial topics such as mapping and genome rearrangement, gene fusion discovery, copy number alterations, somatic mutations, gene expression profiling, and the transition from variants to networks. Gain valuable insights and practical skills to analyze and interpret cancer genomic data, enhancing your understanding of the molecular basis of cancer and its potential therapeutic implications.
Syllabus
Mapping and Genome Rearrangement.
Gene Fusion Discovery.
Copy Number Alterations.
Somatic Mutations.
Gene Expression Profiling.
Variants to Networks.
Taught by
BioinformaticsDotCA
Related Courses
Access Bioinformatics Databases with BiopythonCoursera Project Network via Coursera Algorithms for DNA Sequencing
Johns Hopkins University via Coursera Advanced Reproducibility in Cancer Informatics
Johns Hopkins University via Coursera AI and Bioinformatics: Genomic Data Analysis
Taipei Medical University via FutureLearn AI for Efficient Programming: Harnessing the Power of LLMs
Fred Hutchinson Cancer Center via Coursera