In [1]:
# Parameters
data_name = "Insm1"
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 11:13:55,518 [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)
Insm1: Motif: M09014_2.00



Forward PWM

Reverse PWM

No Cell types that both TF-MoDISco and Homer finds Insm1

Unique Cell types only TF-MoDISco finds Insm1: #2

Cell typeModiscoHomer
wES;3rd_Rhmbmr;E8.5;A;GEO

Pattern: metacluster_0/pattern_17

Significance: 0.0381952

Absent
npES;posterior_delC;E8.5;A;GEO

Pattern: metacluster_0/pattern_21

Significance: 0.05321759999999999

Absent
Unique Cell types only Homer finds Insm1: #5

Cell typeModiscoHomer
wES;5th_Rhmbmr;E8.5;A;GEOAbsent

Pattern: motif17.motif

Significance: 0.0230551

npES;5th_Rhmbmr_delA;E8.5;A;GEOAbsent

Pattern: motif18.motif

Significance: 0.0486814

wES;posterior;1;E9.5;A;GEOAbsent

Pattern: motif8.motif

Significance: 0.0582553

wES;MSDRM;E11.5;D;EnAbsent

Pattern: motif19.motif

Significance: 0.05950219999999999

WHL_BRN;8wks;D;GEOAbsent

Pattern: motif4.motif

Significance: 0.055619100000000005