Detailed information of deep learning profile BP001310.1

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This page shows detailed deep learning-derived predictions and motifs for ZNF341 in HEK293 using a single trained BPNet model.

Model details

Name: ZNF341
Model ID: BP001310.1
Cell line/tissue: HEK293
Class: C2H2 zinc finger factors
Family: Factors with multiple dispersed zinc fingers
JASPAR ID: MA1655.2
Taxon: Vertebrates
Species: Homo sapiens
Data Type: ChIP-seq
Uniprot ID: Q9BYN7  
Source: ENCSR185FOY
Model: BPNet
Download trained model
Download TF-MoDISco Report

Sequence logo

 

Contribution weight matrix (CWM)

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

Frequency matrix

       
A [ 2655 2896 2633 2736 2692 2788 2730 2498 2426 2529 2833 2449 2733 2888 2776 2552 2384 2524 2884 3188 2366 2362 2687 2328 3285 2370 2696 377 11052 11974 251 10923 23 11 2110 3271 2335 2563 2655 2345 2660 2853 2776 2706 2667 2637 2655 2688 2633 2687 ]
C [ 3245 2976 3069 3119 2982 2858 2754 2488 2525 2566 2486 2565 2705 2614 2559 2461 3053 3735 3806 2721 3195 3230 2740 3741 3802 2359 261 849 842 25 7755 236 50 12268 6752 2633 3487 3107 3051 3791 3590 3245 3609 3461 3392 3574 3635 3396 3539 3496 ]
G [ 4128 4123 4341 4234 4355 4532 4763 5423 5595 5398 5129 5314 4793 4699 4787 5449 4841 4303 3567 4438 4922 2531 3609 4551 2496 3828 8762 10395 402 207 3484 862 12172 4 1339 3727 4416 4070 4178 3667 3598 3709 3630 3756 3923 3765 3640 3738 3722 3796 ]
T [ 2270 2303 2255 2209 2269 2120 2051 1889 1752 1805 1850 1970 2067 2097 2176 1836 2020 1736 2041 1951 1815 4175 3262 1678 2715 3741 579 677 2 92 808 277 53 15 2097 2667 2060 2558 2414 2495 2450 2491 2283 2375 2316 2322 2368 2476 2404 2319 ]

Hypothetical CWM

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

Other motifs identified by TF-MoDISco

 

Motif name: counts.pos_patterns.pattern_2

Num. of seqlets: 2255

CWM

PFM

     

HCWM

Motif name: counts.pos_patterns.pattern_4

Num. of seqlets: 300

CWM

PFM

     

HCWM

Motif name: counts.pos_patterns.pattern_5

Num. of seqlets: 130

CWM

PFM

     

HCWM

Motif name: counts.pos_patterns.pattern_6

Num. of seqlets: 110

CWM

PFM

     

HCWM

Motif name: counts.pos_patterns.pattern_7

Num. of seqlets: 108

CWM

PFM

     

HCWM

Motif name: counts.pos_patterns.pattern_8

Num. of seqlets: 102

CWM

PFM

     

HCWM

Motif name: counts.pos_patterns.pattern_11

Num. of seqlets: 59

CWM

PFM

     

HCWM

Motif name: counts.pos_patterns.pattern_12

Num. of seqlets: 46

CWM

PFM

     

HCWM

Motif name: counts.pos_patterns.pattern_14

Num. of seqlets: 45

CWM

PFM

     

HCWM

Motif name: counts.pos_patterns.pattern_16

Num. of seqlets: 43

CWM

PFM

     

HCWM

Motif name: counts.pos_patterns.pattern_18

Num. of seqlets: 30

CWM

PFM

     

HCWM