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

Frequency matrix

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

Hypothetical CWM

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