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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
Cancer Genomic Landscapes
Pan-Cancer Genomic Patterns
Common Alterations Across Cancers
Frequently Mutated Genes
Recurrent Structural Variations
Universal Cancer Pathways
Cancer Type-Specific Patterns
Tissue-Specific Mutations
Organ-Specific Pathways
Histology-Dependent Alterations
Driver Gene Identification
Statistical Approaches
Mutation Frequency Analysis
Functional Impact Scoring
Pathway Enrichment
Functional Validation
In Vitro Assays
In Vivo Models
Clinical Evidence
Core Cancer Pathways
Cell Cycle Control
DNA Damage Response
Growth Factor Signaling
Apoptosis Regulation
Mutational Processes
Endogenous Mutational Processes
Replication Errors
Spontaneous DNA Damage
Oxidative Stress
Exogenous Mutational Processes
UV Radiation
Chemical Carcinogens
Viral Integration
DNA Repair Deficiency
Mismatch Repair Deficiency
Homologous Recombination Deficiency
Base Excision Repair Defects
Mutational Signatures
Signature Extraction
Signature Attribution
Clinical Applications
Tumor Evolution
Clonal Evolution Models
Linear Evolution
Branched Evolution
Neutral Evolution
Phylogenetic Reconstruction
Tree Building Methods
Temporal Ordering
Ancestral State Reconstruction
Selection Pressures
Positive Selection
Negative Selection
Neutral Drift
Tumor Heterogeneity
Intratumor Heterogeneity
Spatial Heterogeneity
Temporal Heterogeneity
Functional Heterogeneity
Subclonal Architecture
Clonal Deconvolution
Subclone Quantification
Evolution Dynamics
Clinical Implications
Treatment Resistance
Biomarker Reliability
Sampling Strategies
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6. Clinical Applications