A small library to plot Bismark methylation_exctractor reports.
Project description
BismarkPlot
A small library to plot Bismark methylation_extractor
reports.
See the docs: https://shitohana.github.io/BismarkPlot
Right now only coverage2cytosine
input is supported, but support for bismark2bedGraph
will be added soon.
Installation
pip install bismarkplot
Usage
You can use bismarkplot
either as python library or directly from console after installing it.
To see options:
bismarkplot --help
Examples
Example in command line
bismarkplot --genome path/to/genome.gff --flength 2000 --mlength 4000 --fwindows 500 --gwindows 2000 --line-plot --heat-map --box-plot --bar-plot --labels exp1 exp2 --resolution 100 --format pdf path/to/genomeWide1.txt path/to/genomeWide2.txt
This command will generate line plots and heat maps pdf files for all contexts and box and bar plots.
Example in python script
If using bismarkplot as python library is more suitable for you, you can call bismarkplot
methods right from python script.
First we need to initialize genome
and BismarkFiles
. genome
is .gff or .bed file with gene coordinates. BismarkFiles
is a class, which calculates data for all plots, so their types need to be specified when it is initialized.
import bismarkplot
file = 'path/to/genome.gff'
genome = bismarkplot.read_genome(
file,
flank_length=2000,
min_length=4000
)
files = ['path/to/genomeWide1.txt', 'path/to/genomeWide2.txt']
bismark = bismarkplot.BismarkFiles(
files, genome,
flank_windows=500,
gene_windows=2000,
line_plot=True,
heat_map=True,
box_plot=True,
bar_plot=True
)
Let's now draw plots themselves.
For line plots use (or draw_line_plots_all
for all contexts)
bismark.draw_line_plots_filtered(
context='CG',
strand='+',
smooth=.05,
labels = ['exp1', 'exp2'],
title = 'Plot for CG+'
)
For heat maps use (or draw_heat_maps_all
for all contexts)
bismark.draw_heat_maps_filtered(
context='CG',
strand='+',
resolution=100,
labels = ['exp1', 'exp2'],
title = 'Heatmap for CG+'
)
For box plot or bar plot use
bismark.draw_box_plot(strand_specific=True, labels=['exp1', 'exp2'])
bismark.draw_bar_plot(labels=['exp1', 'exp2'])
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