title: Repitools: an R package for the analysis of enrichment-based epigenomic data.
abstract: CONCLUSIONS
  Epigenetics, the study of heritable somatic phenotypic changes not related to DNA sequence, has emerged as a critical component of the landscape of gene regulation. The epigenetic layers, such as DNA methylation, histone modifications and nuclear architecture are now being extensively studied in many cell types and disease settings. Few software tools exist to summarize and interpret these datasets. We have created a toolbox of procedures to interrogate and visualize epigenomic data (both array- and sequencing-based) and make available a software package for the cross-platform R language.
  
  
  BACKGROUND
  The package is freely available under LGPL from the R-Forge web site (http://repitools.r-forge.r-project.org/)
  
  
  BACKGROUND
  mrobinson@wehi.edu.au.
authors.affiliation: Epigenetics Laboratory, Cancer Program, Garvan Institute of Medical Research, 384 Victoria Street, Darlinghurst, NSW 2010, Australia.
authors.forename: Aaron L
authors.initials: AL
authors.lastname: Statham
authors.forename: Dario
authors.initials: D
authors.lastname: Strbenac
authors.forename: Marcel W
authors.initials: MW
authors.lastname: Coolen
authors.forename: Clare
authors.initials: C
authors.lastname: Stirzaker
authors.forename: Susan J
authors.initials: SJ
authors.lastname: Clark
authors.forename: Mark D
authors.initials: MD
authors.lastname: Robinson
mesh_terms: D019175:DNA Methylation; D044127:Epigenesis, Genetic; D023281:Genomics / Q000379:methods*; D006657:Histones / Q000032:analysis / Q000378:metabolism; D020411:Oligonucleotide Array Sequence Analysis; D012984:Software
chemical_list: D006657:Histones
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