Detailed information of deep learning profile BP001229.1

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This page shows detailed deep learning-derived predictions and motifs for ONECUT1 in HepG2 using a single trained BPNet model.

Model details

Name: ONECUT1
Model ID: BP001229.1
Cell line/tissue: HepG2
Class: Homeo domain factors
Family: HD-CUT
JASPAR ID: MA0679.3
Taxon: Vertebrates
Species: Homo sapiens
Data Type: ChIP-seq
Uniprot ID: Q9UBC0  
Source: ENCSR956OSX
Model: BPNet
Download trained model
Download TF-MoDISco Report

Sequence logo

 

Contribution weight matrix (CWM)

 
A [ 0.00 0.00 -0.00 -0.00 0.11 -0.00 -0.00 0.00 0.13 -0.00 -0.00 -0.00 0.00 -0.00 ]
C [ 0.00 -0.00 0.00 -0.00 -0.00 -0.00 0.02 0.00 0.00 0.00 0.02 -0.00 -0.00 0.00 ]
G [ 0.00 0.00 -0.00 0.00 0.00 -0.00 -0.00 0.14 -0.00 -0.00 -0.00 0.00 0.00 -0.00 ]
T [ -0.00 0.00 0.00 0.02 0.00 0.11 0.03 0.00 -0.00 0.07 0.03 0.01 0.00 0.01 ]

Frequency matrix

       
A [ 4886 5143 5313 5163 4827 5046 5203 4874 5136 5105 5208 4771 5010 5362 5198 6401 5325 4441 1969 18448 136 283 2 18683 464 530 2999 3855 3132 3584 3991 5036 4325 4266 4523 5012 4783 4934 4997 4844 4852 5055 4958 4811 4798 5042 4857 4915 4714 4904 ]
C [ 4296 3994 3913 3999 3995 3889 3983 4287 4043 3954 4027 4160 4080 3878 4132 3652 2868 2977 2899 1 14 3415 0 0 2167 6021 2967 3299 4000 4273 4118 4073 4241 4111 3823 3862 3837 3722 3952 4360 4121 3979 4112 4152 4191 3988 3992 3918 4151 3951 ]
G [ 4010 3839 3726 3957 4263 4008 3963 3706 3965 3792 3749 3648 3796 4115 4028 3714 3735 3678 1206 51 1 121 18690 4 149 321 2611 3696 3178 4060 3934 3975 3986 4070 4342 3867 4394 4103 4119 3672 3875 3987 4204 4166 4085 3914 4420 4150 4101 4323 ]
T [ 5502 5718 5742 5575 5609 5751 5544 5827 5550 5843 5710 6115 5808 5339 5336 4927 6766 7598 12620 194 18543 14875 2 7 15914 11822 10117 7844 8384 6777 6651 5610 6142 6247 6006 5953 5680 5935 5626 5818 5846 5673 5420 5565 5620 5750 5425 5711 5728 5516 ]

Hypothetical CWM

   
A [ 0.01 0.01 0.00 -0.01 0.11 -0.01 -0.05 -0.01 0.13 -0.02 -0.03 0.01 0.01 -0.00 -0.00 ]
C [ 0.01 0.01 0.01 0.01 -0.08 -0.05 0.10 -0.07 -0.08 0.01 0.05 -0.01 0.00 0.01 0.01 ]
G [ 0.01 0.01 0.01 0.00 -0.01 -0.08 -0.06 0.14 -0.03 -0.07 -0.02 0.03 0.01 0.00 0.01 ]
T [ -0.00 0.00 0.02 0.03 -0.02 0.11 0.04 -0.03 -0.03 0.08 0.04 0.01 0.01 0.02 0.01 ]

Other motifs identified by TF-MoDISco

 

Motif name: counts.pos_patterns.pattern_1

Num. of seqlets: 3062

CWM

PFM

     

HCWM

Motif name: counts.pos_patterns.pattern_2

Num. of seqlets: 2936

CWM

PFM

     

HCWM

Motif name: counts.pos_patterns.pattern_3

Num. of seqlets: 1958

CWM

PFM

     

HCWM

Motif name: counts.pos_patterns.pattern_4

Num. of seqlets: 1165

CWM

PFM

     

HCWM

Motif name: counts.pos_patterns.pattern_5

Num. of seqlets: 876

CWM

PFM

     

HCWM

Motif name: counts.pos_patterns.pattern_6

Num. of seqlets: 440

CWM

PFM

     

HCWM

Motif name: counts.pos_patterns.pattern_7

Num. of seqlets: 428

CWM

PFM

     

HCWM

Motif name: counts.pos_patterns.pattern_8

Num. of seqlets: 324

CWM

PFM

     

HCWM

Motif name: counts.pos_patterns.pattern_9

Num. of seqlets: 248

CWM

PFM

     

HCWM

Motif name: counts.pos_patterns.pattern_10

Num. of seqlets: 205

CWM

PFM

     

HCWM

Motif name: counts.pos_patterns.pattern_11

Num. of seqlets: 131

CWM

PFM

     

HCWM

Motif name: counts.pos_patterns.pattern_12

Num. of seqlets: 129

CWM

PFM

     

HCWM

Motif name: counts.pos_patterns.pattern_13

Num. of seqlets: 124

CWM

PFM

     

HCWM

Motif name: counts.pos_patterns.pattern_14

Num. of seqlets: 104

CWM

PFM

     

HCWM

Motif name: counts.pos_patterns.pattern_15

Num. of seqlets: 70

CWM

PFM

     

HCWM