title: CpGassoc: an R function for analysis of DNA methylation microarray data.
abstract: CONCLUSIONS
  With the increasing availability of high-density methylation microarrays, there has been growing interest in analysis of DNA methylation data. We have developed CpGassoc, an R package that can efficiently perform the statistical analysis needed for increasingly large methylation datasets. CpGassoc is a modular, expandable package with functions to perform rapid analyses of DNA methylation data via fixed or mixed effects models, to perform basic quality control, to carry out permutation tests, and to display results via an array of publication-quality plots.
  
  
  METHODS
  CpGassoc is implemented in R and is freely available at http://genetics.emory.edu/conneely; we are in the process of submitting it to CRAN.
authors.affiliation: Department of Bioinformatics and Biostatistics, School of Public Health, Emory University at Atlanta, GA 30322, USA. rtbarfi@emory.edu
authors.forename: Richard T
authors.initials: RT
authors.lastname: Barfield
authors.forename: Varun
authors.initials: V
authors.lastname: Kilaru
authors.forename: Alicia K
authors.initials: AK
authors.lastname: Smith
authors.forename: Karen N
authors.initials: KN
authors.lastname: Conneely
mesh_terms: D018899:CpG Islands; D019175:DNA Methylation; D006801:Humans; D020411:Oligonucleotide Array Sequence Analysis / Q000379:methods*; D012984:Software