UNIT 3

Question 1

Epigenomics

Answer 1

• Epigenomics
  
  • Study of gene regulation beyond DNA sequence
• Key Concepts
  
  • Epigenetic modifications (DNA methylation, histone modifications, non-coding RNAs)
  • Gene expression control
  • Heritability and reversibility
• Machine Learning Applications
  
  • Pattern recognition
  • Dimensionality reduction
  • Predictive models
• Challenges
  
  • Noisy data
  • High dimensionality
  • Integration with other data
• Use Cases
  
  • Cancer research
  • Personalized medicine
  • Aging and development
• Conclusion
  
  • Powerful field with applications in various areas
  • Machine learning is essential for analyzing epigenomic data

Question 2

ChIP-Seq

Answer 2

• ChIP-Seq
  
  • Mapping protein-DNA interactions
• Process
  
  • Cross-linking
  • Chromatin fragmentation
  • Immunoprecipitation
  • Sequencing
  • Data analysis
• Applications
  
  • Gene regulation
  • Epigenetics
  • Disease research
  • Developmental biology
• Machine Learning
  
  • Data processing
  • Feature extraction
  • Pattern recognition
  • Predictive models
• Challenges
  
  • Data noise
  • High dimensionality
  • Biological variability
• Conclusion
  
  • Powerful technique for studying genome regulation
  • Machine learning essential for analysis