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

Frequency matrix

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

Hypothetical CWM

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