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

Frequency matrix

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

Hypothetical CWM

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