plotGenome {segmentSeq} | R Documentation

## Plots the alignment of sequence tags on the genome given an ‘aligmentData’ object and (optionally) a set of segments found.

### Description

Plots the data from an `alignmentData` object for a given set of samples. Can optionally include in the plot the annotation data from a `lociData` object containing segment information.

### Usage

    plotGenome(aD, loci, chr = 1, limits = c(0, 1e4), samples = NULL,
    plotType = "pileup", plotDuplicated = FALSE, density = 0, showNumber =
    TRUE, logScale = FALSE, cap = Inf, ...)

### Arguments

`aD` | An `alignmentData` object.
`loci` | A `lociData` object (produced by the `heuristicSeg` or `classifySeg` function and therefore) containing appropriate annotation information. Can be omitted if this annotation is not known/required.
`chr` | The name of the chromosome to be plotted. Should correspond to a chromosome name in the `alignmentData` object.
`limits` | The start and end point of the region to be plotted.
`samples` | The sample numbers of the samples to be plotted. If NULL, plots all samples.
`plotType` | The manner in which the plot is created. Currently only `plotType = pileup` is recommended.
`plotDuplicated` | If TRUE, then any duplicated sequence tags (i.e., sequence tags that match to multiple places in the genome) in the ‘aD’ object will be plotted on a negative scale for each sample. Defaults to FALSE (recommended).
`density` | The density of the shading lines to be used in plotting each segment.
`showNumber` | Should the row number of each segment be shown?
`logScale` | Should a log scale be used for the number of sequence tags found at each base?
`cap` | A numeric value defining a cap on the maximum number of reads to be plotted at any one point. Useful if a large number of reads at one location prevent a clear signal being seen elsewhere.
`...` | Any additional graphical parameters for passing to `plot`.

### Value

Plotting function.

### Author(s)

Thomas J. Hardcastle

### See Also

`alignmentData`, `heuristicSeg`, `classifySeg`

### Examples

    # Define the files containing sample information.

    datadir <- system.file("extdata", package = "segmentSeq")
    libfiles <- c("SL9.txt", "SL10.txt", "SL26.txt", "SL32.txt")

    # Establish the library names and replicate structure.

    libnames <- c("SL9", "SL10", "SL26", "SL32")
    replicates <- c(1,1,2,2)

    # Process the files to produce an `alignmentData' object.

    alignData <- readGeneric(file = libfiles, dir = datadir, replicates =
    replicates, libnames = libnames, gap = 100)

    # Plot the alignments to the genome on chromosome 1 between bases 1 and 10000

    plotGenome(alignData, chr = ">Chr1", limits = c(1, 1e5))

[Package segmentSeq version 2.18.0 Index]