Did I find the right examples for you? yes no

All Samples(8)  |  Call(0)  |  Derive(0)  |  Import(8)

src/p/y/pyDNase-0.1.6/pyDNase/scripts/examples/example_footprint_scores.py   pyDNase(Download)
 
import matplotlib.pyplot as plt
import pyDNase
from pyDNase.footprinting import wellington
 

src/p/y/pyDNase-0.1.6/pyDNase/scripts/wellington_footprints.py   pyDNase(Download)
from clint.textui import progress,puts
import numpy as np
import pyDNase
from pyDNase import footprinting
 

src/p/y/pyDNase-0.1.6/pyDNase/scripts/dnase_wig_tracks.py   pyDNase(Download)
import argparse
from clint.textui import progress, puts
import pyDNase
 
parser = argparse.ArgumentParser(description='Writes two WIG files with the cut information based on the regions in reads BED file and the reads in reads BAM file')

src/p/y/pyDNase-0.1.6/pyDNase/scripts/dnase_to_JSON.py   pyDNase(Download)
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
 
import argparse, pyDNase
from clint.textui import puts, progress
parser = argparse.ArgumentParser(description='Writes a JSON file of DNase I cuts for regions from a  BED file')

src/p/y/pyDNase-0.1.6/pyDNase/scripts/dnase_to_javatreeview.py   pyDNase(Download)
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
 
import argparse, pyDNase, csv
import numpy as np
from clint.textui import puts, progress

src/p/y/pyDNase-0.1.6/pyDNase/scripts/dnase_average_profile.py   pyDNase(Download)
 
import argparse
import pyDNase
import numpy as np
import matplotlib as mpl

src/p/y/pyDNase-0.1.6/pyDNase/footprinting/__init__.py   pyDNase(Download)
import numpy.random
import numpy as np
import pyDNase
import warnings
 

src/p/y/pyDNase-0.1.6/test/__init__.py   pyDNase(Download)
import unittest, sys
import pyDNase
from pyDNase.footprinting import wellington
import numpy
class Test(unittest.TestCase):