In [1]:
# Parameters
data_name = "XP_006525770.1"
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 11:48:14,788 [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)
XP_006525770.1: Motif: M01918_2.00



Forward PWM

Reverse PWM

No Cell types that both TF-MoDISco and Homer finds XP_006525770.1

No Cell types only TF-MoDISco finds XP_006525770.1

Unique Cell types only Homer finds XP_006525770.1: #2

Cell typeModiscoHomer
G_NRN_P;A;GEOAbsent

Pattern: motif18.motif

Significance: 0.0171616

BRN;MDL_OBLNGT;A;CLAbsent

Pattern: motif12.motif

Significance: 0.00691948