A Tutorial on Computational Methods for Modeling and Analyzing Epigenomic Data

A Tutorial on Computational Methods for Modeling and Analyzing Epigenomic Data

Computational Genomics Summer Institute CGSI via YouTube Direct link

Intro

1 of 11

1 of 11

Intro

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A Tutorial on Computational Methods for Modeling and Analyzing Epigenomic Data

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  1. 1 Intro
  2. 2 The epigenome provides cell type specific markers
  3. 3 Supervised Integration of Multiple Chromatin Marks
  4. 4 Approach: Multivariate Hidden Markov Model (ChromHMM)
  5. 5 ENCODE: Study nine marks in nine human cell lines
  6. 6 Chromatin state annotations exhibit cell type specific enrichments of GWAS hits
  7. 7 Regulatory Activity in DNA Accessible Sites Depends on Chromatin State
  8. 8 Three Options for Applying ChromHMM to Multiple Cell Types
  9. 9 Stacked Modeling Provides Complementary Advantanges to Concatenated Model
  10. 10 ChromGene applied to Roadmap Epigenomics data
  11. 11 ChromGene annotations relationship with gene expression

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