# Parameters
sample_name = "MEL;D;En"
task_dir = "task_273-naivegw_gti"
try:
reload # Python 2.7
except NameError:
try:
from importlib import reload # Python 3.4+
except ImportError:
from imp import reload # Python 3.0 - 3.3
modisco_root = "/srv/scratch/msharmin/mouse_hem/with_tfd/full_mouse50/modisco2019"
mitra_subdir = "report/tomtom_reports"
#task_idx = 0
#sample_name = "MPP;A;CL"
#task_dir = "task_{0}-naivegw{1}".format(task_idx, hyperparameter_group)
from matlas.modisco_report import report_pipeline
#modisco_report.run_pipeline(sample_name, prepare=False, render=False)
Using TensorFlow backend. 2019-03-25 11:55:09,507 [WARNING] git-lfs not installed
load data from labcluster
report_pipeline(sample_name, modisco_root, mitra_subdir, task_dir, importance=True, render=True)
rsync -t -av /srv/scratch/msharmin/mouse_hem/with_tfd/full_mouse50/modisco2019/task_273-naivegw_gti/tomtomout /srv/www/kundaje/msharmin/report/tomtom_reports/task_273-naivegw_gti/ chmod -R +755 /srv/www/kundaje/msharmin/report/tomtom_reports/task_273-naivegw_gti
TF-MoDISco is using the TensorFlow backend.
Displaying motifs which has positive importances for the cell type
report_pipeline(sample_name, modisco_root, mitra_subdir, task_dir, importance=False, render=True)
rsync -t -av /srv/scratch/msharmin/mouse_hem/with_tfd/full_mouse50/modisco2019/task_273-naivegw_gti/tomtomout /srv/www/kundaje/msharmin/report/tomtom_reports/task_273-naivegw_gti/ chmod -R +755 /srv/www/kundaje/msharmin/report/tomtom_reports/task_273-naivegw_gti Displaying motifs which has negative importances for the cell type