course.bioinf
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  • Introduction
  • Sequence analysis
  • Phylogenetic tree
  • Protein function prediction
  • Genomics
    • topic 11. Genomics
    • topic 12. ​Next generation sequencing
    • topic 13. RNA-Seq
    • topic 14. ​​​Computational epigenetics
    • topic 15. Comparative genomics
  • References and supplementaries
course.bioinf
  • Introduction
  • topic 14. ​​​Computational epigenetics
  • Edit on GitHub

topic 14. ​​​Computational epigenetics

Chromatin biology
Nuclear organization
  • Supporting Materials

    • Epigenetics

      1. Collected papers for Epigenome Roadmap

      2. Epigenetics by Nature Reviews Genetics

      3. 2020 STAT115 Lect12.1 Epigenetics by Xiaole Shirley Liu

    • Genome Organization

      1. 染色體結構捕捉技術 by 陳政儀

      2. HiC contact bias: Yaffe, E. & Tanay, A. Probabilistic modeling of Hi-C contact maps eliminates systematic biases to characterize global chromosomal architecture. Nat. Genet. 43,1059–65 (2011).

      3. HiC peak calling method: Rao, S. S. et al. A 3D map of the human genome at kilobase resolution reveals principles of chromatin looping. Cell 159, 1665–80 (2014).

      4. Genome segmentation: Ernst, J. & Kellis, M. ChromHMM: automating chromatin-state discovery and characterization. Nature Methods 9, 215–216 (2012).

      5. Review: Sexton, T. & Cavalli, G. The role of chromosome domains in shaping the functional genome. Cell 160, 1049–59 (2015).

      6. a nice introduction by Jian Ma, Comparing 3D Genome Organization | CGSI 2019

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