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Biology
Genetics and Genomics
Cancer Genomics
1. Introduction to Cancer Genomics
2. Types of Genomic Alterations in Cancer
3. Genomic Technologies and Methods
4. Bioinformatics and Data Analysis
5. Cancer Genomic Landscapes
6. Clinical Applications
7. Major Resources and Databases
8. Challenges and Future Directions
8.
Challenges and Future Directions
8.1.
Technical Challenges
8.1.1.
Variant Interpretation
8.1.1.1.
Variants of Unknown Significance
8.1.1.2.
Functional Validation
8.1.1.3.
Clinical Significance
8.1.2.
Data Integration
8.1.2.1.
Multi-omics Challenges
8.1.2.2.
Computational Complexity
8.1.2.3.
Standardization Needs
8.1.3.
Tumor Heterogeneity
8.1.3.1.
Sampling Limitations
8.1.3.2.
Clonal Deconvolution
8.1.3.3.
Temporal Changes
8.2.
Clinical Implementation Challenges
8.2.1.
Therapeutic Resistance
8.2.1.1.
Intrinsic Resistance
8.2.1.2.
Acquired Resistance
8.2.1.3.
Combination Strategies
8.2.2.
Biomarker Validation
8.2.2.1.
Analytical Validation
8.2.2.2.
Clinical Validation
8.2.2.3.
Regulatory Approval
8.2.3.
Health Disparities
8.2.3.1.
Population Representation
8.2.3.2.
Access to Testing
8.2.3.3.
Equity in Treatment
8.3.
Emerging Technologies
8.3.1.
Single-Cell Technologies
8.3.1.1.
Single-Cell Genomics
8.3.1.2.
Single-Cell Proteomics
8.3.1.3.
Spatial Analysis
8.3.2.
Long-Read Sequencing
8.3.2.1.
Structural Variant Detection
8.3.2.2.
Repetitive Region Analysis
8.3.2.3.
Phasing Applications
8.3.3.
Artificial Intelligence
8.3.3.1.
Machine Learning Applications
8.3.3.2.
Deep Learning Models
8.3.3.3.
Clinical Decision Support
8.4.
Ethical and Social Considerations
8.4.1.
Data Privacy
8.4.1.1.
Patient Consent
8.4.1.2.
Data Security
8.4.1.3.
International Sharing
8.4.2.
Incidental Findings
8.4.2.1.
Reporting Policies
8.4.2.2.
Patient Counseling
8.4.2.3.
Family Implications
8.4.3.
Economic Considerations
8.4.3.1.
Cost-Effectiveness
8.4.3.2.
Healthcare Economics
8.4.3.3.
Insurance Coverage
8.5.
Future Research Directions
8.5.1.
Functional Genomics
8.5.1.1.
CRISPR Screening
8.5.1.2.
Functional Validation
8.5.1.3.
Therapeutic Target Discovery
8.5.2.
Computational Advances
8.5.2.1.
Algorithm Development
8.5.2.2.
Cloud Computing
8.5.2.3.
Real-Time Analysis
8.5.3.
Clinical Translation
8.5.3.1.
Regulatory Pathways
8.5.3.2.
Implementation Science
8.5.3.3.
Outcome Studies
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7. Major Resources and Databases
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1. Introduction to Cancer Genomics