Detailed information of deep learning profile BP001286.1

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This page shows detailed deep learning-derived predictions and motifs for NFIL3 in HepG2 using a single trained BPNet model.

Model details

Name: NFIL3
Model ID: BP001286.1
Cell line/tissue: HepG2
Class: Basic leucine zipper factors (bZIP)
Family: CEBP-related
JASPAR ID: MA0025.3
Taxon: Vertebrates
Species: Homo sapiens
Data Type: ChIP-seq
Uniprot ID: Q16649  
Source: ENCSR201GGK
Model: BPNet
Download trained model
Download TF-MoDISco Report

Sequence logo

 

Contribution weight matrix (CWM)

 
A [ 0.00 -0.00 -0.00 0.01 0.00 -0.00 0.04 -0.00 0.02 -0.00 0.06 0.09 -0.00 0.00 -0.00 -0.00 ]
C [ 0.00 0.00 0.00 -0.00 0.00 -0.00 0.00 0.07 -0.00 0.01 0.01 -0.00 0.01 0.01 0.00 0.00 ]
G [ 0.00 0.00 0.01 0.01 0.00 0.00 0.01 -0.00 0.01 -0.00 -0.00 0.00 0.00 0.00 0.00 0.00 ]
T [ -0.00 -0.00 0.00 -0.00 0.10 0.08 -0.00 -0.00 -0.00 0.05 0.00 0.00 0.01 -0.00 -0.00 -0.00 ]

Frequency matrix

       
A [ 3433 3783 3326 3329 3168 3200 3229 3245 3785 3428 3336 3217 3529 3292 3114 3670 3820 3660 2594 6123 0 2 7536 24 9242 722 9051 12455 365 3751 2829 2819 3209 2936 3033 3269 3376 3670 3216 3197 3299 3223 3257 3241 3342 3351 3349 3610 3211 3705 ]
C [ 2716 2811 2724 2826 2961 2794 2751 3198 2798 2846 2755 2712 2757 2871 3402 2841 2881 2911 1873 1627 0 2 0 12016 725 2809 3405 3 5196 3666 2994 3519 2919 3200 2886 3176 3199 2592 2766 3180 3178 2926 2843 2806 2828 2880 2773 2885 3343 2788 ]
G [ 3059 2738 3102 3066 2778 2806 3169 2914 2711 3091 2679 3194 2816 3380 2804 2810 3157 2702 4107 4319 1 760 4387 56 1765 17 13 8 1668 1641 3165 2670 2762 2901 2768 2812 2539 2878 3201 2589 2708 2730 3063 3103 2997 2759 2967 2802 2695 2677 ]
T [ 3263 3139 3319 3250 3564 3671 3322 3114 3177 3106 3701 3348 3369 2928 3151 3150 2613 3198 3897 402 12470 11707 548 375 739 8923 2 5 5242 3413 3483 3463 3581 3434 3784 3214 3357 3331 3288 3505 3286 3592 3308 3321 3304 3481 3382 3174 3222 3301 ]

Hypothetical CWM

   
A [ 0.00 0.00 0.00 -0.00 0.03 -0.03 -0.06 0.07 -0.02 0.02 -0.00 0.08 0.09 -0.03 0.01 0.00 -0.00 -0.00 ]
C [ 0.01 0.01 0.02 0.01 0.01 -0.03 -0.05 -0.07 0.08 -0.01 0.03 0.04 -0.03 0.04 0.02 0.01 0.02 0.01 ]
G [ 0.01 0.02 0.01 0.03 0.04 -0.03 0.03 0.05 -0.01 0.08 -0.06 -0.05 -0.02 0.01 0.01 0.02 0.01 0.01 ]
T [ -0.00 -0.00 0.00 0.01 -0.03 0.10 0.09 -0.01 0.02 -0.02 0.07 -0.05 -0.04 0.03 -0.00 0.00 -0.00 0.00 ]

Other motifs identified by TF-MoDISco

 

Motif name: counts.pos_patterns.pattern_1

Num. of seqlets: 5775

CWM

PFM

     

HCWM

Motif name: counts.pos_patterns.pattern_2

Num. of seqlets: 2908

CWM

PFM

     

HCWM

Motif name: counts.pos_patterns.pattern_3

Num. of seqlets: 2534

CWM

PFM

     

HCWM

Motif name: counts.pos_patterns.pattern_4

Num. of seqlets: 1808

CWM

PFM

     

HCWM

Motif name: counts.pos_patterns.pattern_5

Num. of seqlets: 1582

CWM

PFM

     

HCWM

Motif name: counts.pos_patterns.pattern_6

Num. of seqlets: 636

CWM

PFM

     

HCWM

Motif name: counts.pos_patterns.pattern_7

Num. of seqlets: 570

CWM

PFM

     

HCWM

Motif name: counts.pos_patterns.pattern_8

Num. of seqlets: 492

CWM

PFM

     

HCWM

Motif name: counts.pos_patterns.pattern_9

Num. of seqlets: 422

CWM

PFM

     

HCWM

Motif name: counts.pos_patterns.pattern_10

Num. of seqlets: 393

CWM

PFM

     

HCWM

Motif name: counts.pos_patterns.pattern_11

Num. of seqlets: 308

CWM

PFM

     

HCWM

Motif name: counts.pos_patterns.pattern_12

Num. of seqlets: 203

CWM

PFM

     

HCWM

Motif name: counts.pos_patterns.pattern_13

Num. of seqlets: 139

CWM

PFM

     

HCWM

Motif name: counts.pos_patterns.pattern_18

Num. of seqlets: 23

CWM

PFM

     

HCWM

Motif name: counts.pos_patterns.pattern_19

Num. of seqlets: 22

CWM

PFM

     

HCWM