Introduction into the analysis of high-throughput-sequencing based epigenome data

Brief Bioinform. 2010 Sep;11(5):512-23. doi: 10.1093/bib/bbq014. Epub 2010 May 10.

Abstract

Sequencing-based approaches now allow high-resolution, genome-scale investigation of cellular epigenetic landscapes. For example, mapping of open chromatin regions, post-translational histone modifications and DNA methylation across a whole genome is now feasible, and new non-coding regulatory RNAs can be sensitively identified via RNA sequencing. The resulting large-scale data sets promise to contribute towards a more precise and complete understanding of gene regulation and to yield insights into the interplay between genomes and the environment. In this article, I review some of the conceptual issues and currently available software tools for the analysis of sequencing-based whole-genome epigenetics data.

Publication types

  • Review

MeSH terms

  • Base Sequence
  • Chromatin / chemistry
  • Chromatin / genetics
  • DNA Methylation
  • Epigenesis, Genetic*
  • Epigenomics / instrumentation
  • Epigenomics / methods*
  • Genome
  • High-Throughput Nucleotide Sequencing / instrumentation
  • High-Throughput Nucleotide Sequencing / methods*
  • Histones / genetics
  • Histones / metabolism
  • Humans
  • RNA, Untranslated / genetics

Substances

  • Chromatin
  • Histones
  • RNA, Untranslated