Detailed information of deep learning profile BP001155.1

This page shows detailed deep learning-derived predictions and motifs for JUN in A549 using a single trained BPNet model. Please scroll down the page to browse other models for this transcription factor.

Model details

Name: JUN
Model ID: BP001155.1
Cell line/tissue: A549
Class: Basic leucine zipper factors (bZIP)
Family: Jun-related
JASPAR ID: MA1128.2
Taxon: Vertebrates
Species: Homo sapiens
Data Type: ChIP-seq
Uniprot ID: P05412  
Source: ENCSR708DGM
Model: BPNet
Download trained model
Download TF-MoDISco Report

Sequence logo

Contribution weight matrix (CWM)

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Hypothetical CWM

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Other motifs identified by TF-MoDISco

Number of seqlets: 5326

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Number of seqlets: 69

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: 47

A [ A placeholder to be filled. All the buttons will become functional after matrix data is populated. ]
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Number of seqlets: 3235

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: 1963

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: 1764

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: 1214

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: 460

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: 415

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: 250

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: 128

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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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 JUN.

31 profiles found for the same TF (JUN) in other cell types/tissues