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Bioinformatics for Cancer Genomics 2013

BioinformaticsDotCA via YouTube

Overview

This course covers the fundamentals of bioinformatics for cancer genomics, including visualizing genomic data, analyzing genome rearrangements, studying copy number alterations, somatic mutations, pathway analysis, biological interpretations, gene expression profiling, and RNA-seq analysis. The course aims to teach participants the necessary skills and tools to analyze cancer genomics data effectively. The teaching method includes lectures, hands-on exercises, and practical examples. This course is intended for individuals interested in bioinformatics, genomics, cancer research, or related fields.

Syllabus

Introduction to Cancer Genomics.
Visualizing Cancer Genomic Data Part 1.
Visualizing Cancer Genomic Data Part 2.
Alignment and Genome Rearrangements.
Copy Number Alterations.
Somatic Mutations.
Pathway Analysis and Biological Interpretations Part 1.
Pathway Analysis and Biological Interpretations Part 2.
Pathway Analysis and Biological Interpretations Part 3.
Gene Expression Profiling.
RNA-seq Analysis.

Taught by

BioinformaticsDotCA

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