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

Frequency matrix

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

Hypothetical CWM

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