In [1]:
# Parameters
data_name = "Zbtb7a"
task_idxs = "0-213,216-278"
homer_root = "/srv/scratch/msharmin/mouse_hem/with_tfd/full_mouse50/Naive_scans"
modisco_root = "/srv/scratch/msharmin/mouse_hem/with_tfd/full_mouse50/Naive_modisco2019"
overwrite = False
In [2]:
from matlas.reports import collect_motifDB_to_be_displayed, display_comparative_cell_types

load data from labcluster

Using TensorFlow backend.
2019-08-23 11:49:26,062 [WARNING] git-lfs not installed
In [3]:
homer_matches, modisco_matches = collect_motifDB_to_be_displayed(task_idxs, homer_root, modisco_root, 
                                                              overwrite=False)

TF-MoDISco is using the TensorFlow backend.
In [4]:
display_comparative_cell_types(data_name, homer_matches, modisco_matches)
Zbtb7a: Motif: M08991_2.00



Forward PWM

Reverse PWM

No Cell types that both TF-MoDISco and Homer finds Zbtb7a
No Cell types only TF-MoDISco finds Zbtb7a
Unique Cell types only Homer finds Zbtb7a: #2

Cell typeModiscoHomer
RTN;D1;D;EnAbsent

Pattern: motif3.motif

Significance: 0.0498207

wES;posterior;1;E8.5;A;GEOAbsent

Pattern: motif2.motif

Significance: 0.053552499999999996