Description Usage Arguments Value Author(s) References See Also Examples
Different plot methods for the classes in the
MACPET
package.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 |
x |
An object of correct class used to create different plots. |
... |
further arguments to be passed in the plot functions. |
kind |
A string with one of the following arguments. Note that if a region visualization is plotted, the vertical lines represent peak-summits.
|
RegIndex |
an integer indicating which region to plot (1 means the biggest in terms of total PETs.) |
threshold |
The FDR cut-off when plotting the total significant peaks/interactions for each chromosome in the data. |
Type |
A string with one of the following values:
|
For the PInter
class:
A network plot.
Each node is a chromosome with size proportional to the total PETs of the
corresponding chromosome. Edges connect chromosomes which have common PETs,
where the thickness of an edge is proportional on the total number of PETs
connecting the two chromosomes.
For the PIntra
class:
A bar-plot. Each bar
represents the total number of Intra-chromosomal PETs for each chromosome in
the data.
For the PSelf
class:
A bar-plot. Each bar
represents the total number of Self-ligated PETs for each chromosome in
the data.
For the PSFit
class:
Different plots depenting on the kind
argument.
For the GenomeMap
class:
A heatmap plot or different kinds of network plots showing the relations between
different chromosomes based on the interactions between them.
Ioannis Vardaxis, ioannis.vardaxis@ntnu.no
Vardaxis I, Drabl<c3><b8>s F, Rye M and Lindqvist BH (2018). MACPET: Model-based Analysis for ChIA-PET. To be published.
Vardaxis I, Drabl<c3><b8>s F, Rye M and Lindqvist BH (2018). MACPET: Complete pipeline for ChIA-PET. To be published.
PSelf
,
PSFit
PInter
, PIntra
,
GenomeMap
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 | #load Inter-chromosomal data:
load(system.file('extdata', 'MACPET_pinterData.rda', package = 'MACPET'))
class(MACPET_pinterData)
requireNamespace('igraph')
plot(MACPET_pinterData)
#load Intra-chromosomal data:
load(system.file('extdata', 'MACPET_pintraData.rda', package = 'MACPET'))
class(MACPET_pintraData)
requireNamespace('ggplot2')
plot(MACPET_pintraData)
#load Self-ligated data:
load(system.file('extdata', 'MACPET_pselfData.rda', package = 'MACPET'))
class(MACPET_pselfData)
requireNamespace('ggplot2')
plot(MACPET_pselfData)
#load Self-ligated data:
load(system.file('extdata', 'MACPET_psfitData.rda', package = 'MACPET'))
class(MACPET_psfitData)
requireNamespace('ggplot2')
plot(MACPET_psfitData,kind='PETcounts')
plot(MACPET_psfitData,kind='PeakCounts')
plot(MACPET_psfitData,kind='PeakPETs',RegIndex=1)
plot(MACPET_psfitData,kind='PeakTags',RegIndex=1)
#load Interactions data:
load(system.file('extdata', 'MACPET_GenomeMapData.rda', package = 'MACPET'))
class(MACPET_GenomeMapData)
requireNamespace('igraph')
requireNamespace('reshape2')
plot(MACPET_GenomeMapData,Type='network-circle')
|
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