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Sessions
1: Introduction to Computing Clusters and Bioinformatics
2: Public Databases
3: DNA Sequencing Strategies and Quality Control
4: Mutation Calling and Analysis
5: Mutational Signatures
6: Structural Variant Analysis
7: Somatic Copy Number Alterations
8: Identifying Cancer Drivers
9: Tumor Evolution
10: Transcriptome-based Study Designs
11: RNA-seq Data Mining
12: Data Visualization Approaches
Invited Speakers
Instructors
News
Session 7: Somatic Copy Number Alterations
Overview
Lecture
Practical
Topics Covered
Methods for detecting SCNAs
SCNA Validation & Visualization
Challenges for SCNA detection
Common SCNA analysis in cancer genomics
Significance of SCNAs in cancer
Practical
SCNA calling (FACETS,ASCAT,GISTIC analysis)
SCNA signatures