Detailed information of deep learning profile BP001346.1

This page shows detailed deep learning-derived predictions and motifs for EGR2 in HEK293 using a single trained BPNet model.

Model details

Name: EGR2
Model ID: BP001346.1
Cell line/tissue: HEK293
Class: C2H2 zinc finger factors
Family: Three-zinc finger Kruppel-related
JASPAR ID: MA0472.2
Taxon: Vertebrates
Species: Homo sapiens
Data Type: ChIP-seq
Uniprot ID: P11161  
Source: ENCSR919CZU
Model: BPNet
Download trained model
Download TF-MoDISco Report

Sequence logo

Contribution weight matrix (CWM)

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Frequency matrix

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Hypothetical CWM

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Other motifs identified by TF-MoDISco

Number of seqlets: 76

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Number of seqlets: 58

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Number of seqlets: 57

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Number of seqlets: 46

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Number of seqlets: 597

A [ A placeholder to be filled. All the buttons will become functional after matrix data is populated. ]
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Number of seqlets: 43

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Number of seqlets: 40

A [ A placeholder to be filled. All the buttons will become functional after matrix data is populated. ]
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Number of seqlets: 21

A [ A placeholder to be filled. All the buttons will become functional after matrix data is populated. ]
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Number of seqlets: 578

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Number of seqlets: 528

A [ A placeholder to be filled. All the buttons will become functional after matrix data is populated. ]
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Number of seqlets: 464

A [ A placeholder to be filled. All the buttons will become functional after matrix data is populated. ]
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Number of seqlets: 398

A [ A placeholder to be filled. All the buttons will become functional after matrix data is populated. ]
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Number of seqlets: 310

A [ A placeholder to be filled. All the buttons will become functional after matrix data is populated. ]
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Number of seqlets: 258

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Number of seqlets: 252

A [ A placeholder to be filled. All the buttons will become functional after matrix data is populated. ]
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Number of seqlets: 690

A [ A placeholder to be filled. All the buttons will become functional after matrix data is populated. ]
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Number of seqlets: 134

A [ A placeholder to be filled. All the buttons will become functional after matrix data is populated. ]
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Number of seqlets: 125

A [ A placeholder to be filled. All the buttons will become functional after matrix data is populated. ]
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Number of seqlets: 103

A [ A placeholder to be filled. All the buttons will become functional after matrix data is populated. ]
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Number of seqlets: 91

A [ A placeholder to be filled. All the buttons will become functional after matrix data is populated. ]
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Number of seqlets: 85

A [ A placeholder to be filled. All the buttons will become functional after matrix data is populated. ]
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Number of seqlets: 80

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Unique motifs

This is a placeholder for the motifs that are found to be specific to this particular model, i.e., not found in other models trained for EGR2.