plotPeak {MMDiff2} | R Documentation

## plot Peak

### Description

This function plots histograms of fragment positions over a pre defined regions of interests / peaks. Can also show occurences of Sequence motifs and annotated objects (e.g. genes).

### Usage

    plotPeak(MD, Peak.id, Sample.ids = NULL, NormMethod = NULL,
      plot.input = FALSE, whichPos = "Center", whichContrast = NULL,
      Motifs = NULL, Motifcutoff = "80%", anno = NULL, xaxt = NULL,
      xlim = NULL, ylim = NULL)

### Arguments

`MD` | DBAmmd Object. This Object can be created using `DBAmmd()`.
`Peak.id` | Peak id to specify which Peak to plot. (coresponding to names of Regions(MD))
`Sample.ids` | which samples to draw. If NULL all samples are drawn. (DEFAULT: NULL)
`NormMethod` | whether to apply normailzation factors. currently no normalization method implemented (DEFAULT: None)
`plot.input` | whether to plot input controls (DEFAULT: TRUE)
`whichPos` | specifies which relative positions of mapped fragments should to be considered. Can be one of: 'Left.p', 'Right.p', 'Right.p' and 'Left.n': Start and end positions of fragments mapping to positive or negative strand, respectively ('Right.p' and 'Left.n' are not available for single-end reads). Additionally inferred positions: 'Center.n','Center.p','Center','Left','Right'. (DEFAULT: 'Center')
`whichContrast` | index determining which of the set contrast should be used. (DEFAULT: 1)
`Motifs` | TF binding sites (DEFAULT: NULL)
`Motifcutoff` | (Default: "80%")
`anno` | either a GRanges objects containing annotated objects, e.g. genes, or a list of GRanges Objects. (Default: NULL)
`xaxt` | (Default: NULL)
`xlim` | (Default: NULL)
`ylim` | (Default: NULL)

### Examples

    dev.off()
    data("MMD")
    plotPeak(MMD,Peak.id='6',plot.input=FALSE)

    # add annotation (Overlapping genes)
    data("mm9-Genes")
    GR <- list(UCSCKnownGenes = GR)
    plotPeak(MMD, Peak.id='6', plot.input = FALSE, anno=GR)

    # add TF binding sites
    library('MotifDb')
    motifs <- query(query(MotifDb, 'Mmusculus'), 'E2F')
    plotPeak(MMD, Peak.id='6', plot.input = FALSE,
           Motifs=motifs,Motifcutoff="80%")

    # split peaks by contrast
    plotPeak(MMD, Peak.id='6', plot.input = FALSE, whichContrast=1,
           Motifs=motifs,Motifcutoff="80%",anno=GR)

[Package MMDiff2 version 1.16.0 Index]