Detailed information of deep learning profile BP001342.1

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This page shows detailed deep learning-derived predictions and motifs for ZNF316 in K562 using a single trained BPNet model.

Model details

Name: ZNF316
Model ID: BP001342.1
Cell line/tissue: K562
Class: C2H2 zinc finger factors
Family: Factors with multiple dispersed zinc fingers
JASPAR ID: UN0319.2
Taxon: Vertebrates
Species: Homo sapiens
Data Type: ChIP-seq
Uniprot ID: A6NFI3  
Source: ENCSR167KBO
Model: BPNet
Download trained model
Download TF-MoDISco Report

Sequence logo

 

Contribution weight matrix (CWM)

 
A [ 0.00 0.00 0.01 0.02 0.03 0.02 0.00 -0.00 0.00 0.00 -0.00 -0.00 0.11 -0.00 -0.00 0.00 0.01 -0.00 -0.00 0.02 0.01 0.01 0.01 ]
C [ 0.00 -0.00 -0.00 -0.00 -0.00 -0.00 -0.00 0.00 0.00 0.10 0.00 0.00 -0.00 0.03 0.00 0.01 -0.00 -0.00 0.04 0.00 -0.00 -0.00 -0.00 ]
G [ 0.00 -0.00 -0.00 -0.00 -0.00 -0.00 -0.00 -0.00 0.14 0.00 0.00 0.10 -0.00 0.01 0.00 -0.00 0.01 0.03 0.00 0.00 -0.00 -0.00 -0.00 ]
T [ -0.00 -0.00 -0.00 0.00 0.01 0.02 0.01 0.06 -0.00 -0.00 0.10 0.00 -0.00 0.00 0.02 0.00 -0.00 -0.00 -0.00 -0.00 0.00 0.01 0.02 ]

Frequency matrix

       
A [ 4099 3821 3874 3864 3778 3960 3926 4029 4014 3959 3651 3767 3816 5210 5492 7008 6372 6177 4181 1114 8 1797 28 40 12300 1051 3001 3686 3724 2792 2453 5814 5616 5313 4765 3709 3360 3584 3939 4331 4256 4175 4082 3767 3811 3851 3907 3705 3952 3873 ]
C [ 2210 2226 2111 2135 2113 2231 2602 2503 2029 2140 2358 2239 2362 1977 2078 544 333 643 1736 305 12 10544 66 6 52 5519 1670 2365 1115 983 5511 2377 1118 732 739 1375 1841 2158 2421 2190 2041 2203 2266 2089 2132 2325 2292 2122 2290 2256 ]
G [ 2217 2094 2267 2634 2576 2298 2216 2182 2155 2152 2269 2185 2185 2056 2120 1364 1153 544 1900 97 12495 16 2 12030 15 2654 1603 2368 3714 5151 2157 1494 2163 938 510 867 1420 2070 2362 2220 2386 2336 2419 2465 2396 2243 2131 2597 2409 2058 ]
T [ 3991 4376 4265 3884 4050 4028 3773 3803 4319 4266 4239 4326 4154 3274 2827 3601 4659 5153 4700 11001 2 160 12421 441 150 3293 6243 4098 3964 3591 2396 2832 3620 5534 6503 6566 5896 4705 3795 3776 3834 3803 3750 4196 4178 4098 4187 4093 3866 4330 ]

Hypothetical CWM

   
A [ -0.00 0.00 0.01 0.02 0.04 0.04 0.03 0.01 -0.01 -0.02 0.04 -0.03 -0.00 0.11 -0.02 -0.00 0.02 0.04 0.01 -0.01 0.04 0.03 0.03 0.03 0.01 -0.00 -0.00 -0.00 0.00 ]
C [ 0.01 0.01 -0.00 -0.02 -0.07 -0.08 -0.05 -0.01 0.03 0.02 0.12 0.06 -0.03 0.01 0.09 0.03 0.07 0.01 0.00 0.09 -0.00 -0.02 -0.05 -0.05 -0.02 -0.00 0.00 0.01 0.00 ]
G [ 0.00 0.01 0.00 -0.00 -0.02 -0.06 -0.06 -0.01 -0.05 0.14 -0.03 -0.04 0.10 -0.01 0.06 0.03 0.01 0.05 0.08 0.02 0.02 -0.00 -0.04 -0.07 -0.06 -0.02 -0.00 0.01 0.01 ]
T [ 0.00 0.00 -0.01 -0.01 0.01 0.03 0.03 0.02 0.06 -0.03 -0.02 0.10 0.04 -0.01 0.02 0.06 0.02 0.00 0.01 -0.01 -0.01 0.01 0.03 0.04 0.03 0.02 0.01 0.00 0.00 ]

Other motifs identified by TF-MoDISco

 

Motif name: counts.pos_patterns.pattern_1

Num. of seqlets: 2420

CWM

PFM

     

HCWM

Motif name: counts.pos_patterns.pattern_2

Num. of seqlets: 2227

CWM

PFM

     

HCWM

Motif name: counts.pos_patterns.pattern_3

Num. of seqlets: 1972

CWM

PFM

     

HCWM

Motif name: counts.pos_patterns.pattern_4

Num. of seqlets: 592

CWM

PFM

     

HCWM

Motif name: counts.pos_patterns.pattern_5

Num. of seqlets: 540

CWM

PFM

     

HCWM

Motif name: counts.pos_patterns.pattern_7

Num. of seqlets: 259

CWM

PFM

     

HCWM

Motif name: counts.pos_patterns.pattern_8

Num. of seqlets: 220

CWM

PFM

     

HCWM

Motif name: counts.pos_patterns.pattern_9

Num. of seqlets: 190

CWM

PFM

     

HCWM

Motif name: counts.pos_patterns.pattern_10

Num. of seqlets: 174

CWM

PFM

     

HCWM