Galaxy | Tool Preview

chicPlotViewpoint (version 3.6+galaxy1)
Defines the region upstream of a reference point which should be considered in the analysis.
Defines the region upstream of a reference point which should be considered in the analysis.
The background file computed by chicViewpointBackgroundModel
Maximum value of the plotted p-value.
Minimum value of the plotted p-value.
Resolution of the bin in genomic units. Values are usually e.g. 1000 for a 1kb, 5000 for a 5kb or 10000 for a 10kb resolution.
Available color map names can be found here: https://matplotlib.org/examples/color/colormaps_reference.html
Plot x-fold region for the mean background.
Change the default resolution of the plot.
Colorlist for the viewpoint lines. For all available colors please check matplotlib documentation: https://matplotlib.org/stable/gallery/color/named_colors.html
Sets all p-values which are equal to zero to one. This has the effect that the associated positions are not disturbing the presenation of small p-values.
The output is tarred to one file and not written to a collection. Set this option if the number of files is large.

Plot of viewpoints

chicPlotViewpoint plots one or many viewpoints with the average background model and the computed p-value per sample. Moreover it can highlight differential interactions of two samples and/or significant regions.

An example usage is:

$ chicPlotViewpoint --interactionFile viewpoint1.txt viewpoint2.txt --range 500000 500000 --backgroundModelFile background_model.txt --pValue --outFileName viewpoint1_2.png --dpi 300

In batch mode the list of file names and the folders containing the files need to be given:

$ chicPlotViewpoint --interactionFile viewpoint_names.txt -interactionFileFolder viewpointFilesFolder --differentialTestResult rejected_H0.txt --differentialTestResultsFolder differentialFolder --range 500000 500000 --backgroundModelFile background_model.txt --pValue --outputFolder plotsFOlder --dpi 300 --threads 20

For more information about HiCExplorer please consider our documentation on readthedocs.io