MMDiff (version 1.8.0)

Cfp1Dists: Example DBA object used to illustrate usage of the MMDiff package

Description

The object contains a small subset of the CIP-Seq data sets generated to assess the link between the histone modification states of H3K4me3 with respect to the mediator proteins Cfp1 [1]. The data is available as part of ArrayExpress Experiment E-ERAD-79. For more details see the MMDiffBamSubset data package.

Usage

data(Cfp1Dists)

Format

A DBA object containing the additional component MD. A DBA object is an S3 object (class "DBA"), which is introduced with the DiffBind package and more information on this class can be found in the Diffbind vignette. The added field MD is a list containing the following elements: - RawTotalCounts: matrix of total counts per peak and sample (nPeaks x nSamples) - PeakRawHists: list of length nPeaks, containing for each Peak a Matrix of histograms (nSamples x nbins). Note, as Peaks can vary in length, nbins may be different for each Peak. - NormFactors: Normalization factors - NormTotalCounts: Normalized total counts - DISTS: containing distances computed for 'MMD','GMD' and 'Pearson'. Each being a (nPeaks x 3) matrix containing in the first column the distances between pairs of peaks in the WT vs Null samples, in the second WT vs Resc and in the third Null vs Resc

Source

See the MMDiffBamSubset data package for more details.

References

[1] Clouaire T et al (2012). Cfp1 integrates both CpG content and gene activity for accurate H3K4me3 deposition in embryonic stem cells. Genes Dev. August 1, 2012 26: 1714--1728

See Also

dba, summary.DBA

Examples

  # The object has been generated using the following commands:
  ##### STEP1: load peak profiles and normalize
  
  data(Cfp1Profiles)

  Cfp1Norm <- getNormFactors(Cfp1Profiles)
  
  ##### STEP2: compute distances between histograms 

  Cfp1Dists <- compHistDists(Cfp1Norm,method='MMD', NormMethod='DESeq')
  
  Cfp1Dists <- compHistDists(Cfp1Dists,method='GMD', NormMethod='DESeq' )
  Cfp1Dists <- compHistDists(Cfp1Dists,method='Pearson',
  NormMethod='DESeq')