title: Introduction into the analysis of high-throughput-sequencing based epigenome data.
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.
authors.affiliation: Genome Institute of Singapore. mikael.huss@scilifelab.se
authors.forename: Mikael
authors.initials: M
authors.lastname: Huss
mesh_terms: D001483:Base Sequence; D002843:Chromatin / Q000737:chemistry / Q000235:genetics; D019175:DNA Methylation; D044127:Epigenesis, Genetic; D057890:Epigenomics / Q000295:instrumentation / Q000379:methods*; D016678:Genome; D059014:High-Throughput Nucleotide Sequencing / Q000295:instrumentation / Q000379:methods*; D006657:Histones / Q000235:genetics / Q000378:metabolism; D006801:Humans; D022661:RNA, Untranslated / Q000235:genetics
chemical_list: D002843:Chromatin; D006657:Histones; D022661:RNA, Untranslated