Detailed information of deep learning profile BP001208.1

This page shows detailed deep learning-derived predictions and motifs for BCL6 in HepG2 using a single trained BPNet model.

Model details

Name: BCL6
Model ID: BP001208.1
Cell line/tissue: HepG2
Class: C2H2 zinc finger factors
Family: More than 3 adjacent zinc fingers
JASPAR ID: MA0463.3
Taxon: Vertebrates
Species: Homo sapiens
Data Type: ChIP-seq
Uniprot ID: P41182  
Source: ENCSR759BDG
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: 1223

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Number of seqlets: 881

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Number of seqlets: 5507

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Number of seqlets: 348

A [ A placeholder to be filled. All the buttons will become functional after matrix data is populated. ]
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Number of seqlets: 264

A [ A placeholder to be filled. All the buttons will become functional after matrix data is populated. ]
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Number of seqlets: 223

A [ A placeholder to be filled. All the buttons will become functional after matrix data is populated. ]
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Number of seqlets: 116

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: 81

A [ A placeholder to be filled. All the buttons will become functional after matrix data is populated. ]
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Number of seqlets: 71

A [ A placeholder to be filled. All the buttons will become functional after matrix data is populated. ]
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Number of seqlets: 42

A [ A placeholder to be filled. All the buttons will become functional after matrix data is populated. ]
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Number of seqlets: 36

A [ A placeholder to be filled. All the buttons will become functional after matrix data is populated. ]
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Number of seqlets: 36

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Number of seqlets: 3839

A [ A placeholder to be filled. All the buttons will become functional after matrix data is populated. ]
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Number of seqlets: 31

A [ A placeholder to be filled. All the buttons will become functional after matrix data is populated. ]
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Number of seqlets: 25

A [ A placeholder to be filled. All the buttons will become functional after matrix data is populated. ]
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Number of seqlets: 22

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

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Number of seqlets: 20

A [ A placeholder to be filled. All the buttons will become functional after matrix data is populated. ]
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A [ A placeholder to be filled. All the buttons will become functional after matrix data is populated. ]
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Number of seqlets: 3694

A [ A placeholder to be filled. All the buttons will become functional after matrix data is populated. ]
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A [ A placeholder to be filled. All the buttons will become functional after matrix data is populated. ]
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A [ A placeholder to be filled. All the buttons will become functional after matrix data is populated. ]
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Number of seqlets: 3332

A [ A placeholder to be filled. All the buttons will become functional after matrix data is populated. ]
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A [ A placeholder to be filled. All the buttons will become functional after matrix data is populated. ]
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A [ A placeholder to be filled. All the buttons will become functional after matrix data is populated. ]
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Number of seqlets: 1501

A [ A placeholder to be filled. All the buttons will become functional after matrix data is populated. ]
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A [ A placeholder to be filled. All the buttons will become functional after matrix data is populated. ]
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Number of seqlets: 1400

A [ A placeholder to be filled. All the buttons will become functional after matrix data is populated. ]
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A [ A placeholder to be filled. All the buttons will become functional after matrix data is populated. ]
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A [ A placeholder to be filled. All the buttons will become functional after matrix data is populated. ]
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Number of seqlets: 1267

A [ A placeholder to be filled. All the buttons will become functional after matrix data is populated. ]
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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 BCL6.