Bioinformatics for Cancer Genomics
Course Objectives
Cancer research has rapidly embraced high throughput technologies into its research, using various microarray, tissue array, and next generation sequencing platforms. The result has been a rapid increase in cancer data output and data types. Now more than ever, having the informatic skills and knowledge of available bioinformatic resources specific to cancer is critical.
The CBW has developed a 5-day workshop covering the key bioinformatics concepts and tools required to analyze cancer genomic data sets. Participants will gain experience in genomic data visualization tools which will be applied throughout the development of the skills required to analyze cancer -omic data for gene expression, genome rearrangement, somatic mutations and copy number variation. The workshop will conclude with analyzing and conducting pathway analysis on the resultant cancer gene list and integration of clinical data.
Course Material
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Module 1 - Introduction to Cancer Genomics
Instructor(s): Trevor Pugh
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Module 2 - Databases and Visualization Tools
Instructor(s): Michelle Brazas
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Module 3 - Mapping and Genome Rearrangement
Instructor(s): Jared Simpson
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Module 4 - Gene Fusion Discovery
Instructor(s): Andrew McPherson
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Module 5 - Copy Number Alterations
Instructor(s): Sohrab Shah
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Module 6 - Somatic Mutations
Instructor(s): Sohrab Shah
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Module 7 - Gene Expression Profiling
Instructor(s): Fouad Yousif
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Module 8 - Variants to Networks
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Module 8B - Variants to Networks
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Module 9 - Integration of Clinical Data
Instructor(s): Anna Goldenberg, Lauren Erdmen