Detailed information of deep learning profile BP000006.1

This page shows detailed deep learning-derived predictions and motifs for REST in HepG2 using a single trained BPNet model. Please scroll down the page to browse other models for this transcription factor.

Model details

Name: REST
Model ID: BP000006.1
Cell line/tissue: HepG2
Class: C2H2 zinc finger factors
Family: Factors with multiple dispersed zinc fingers
Best Match(es): MA0138.3 MA0138.2
Taxon: Vertebrates
Species: Homo sapiens
Data Type: ChIP-seq
Uniprot ID: Q13127  
Source: ENCSR000BJL
Model: BPNet

Contribution weight matrix (CWM)

A [ -2.17e-03 7.49e-04 -2.84e-03 -8.95e-05 9.10e-05 1.41e-01 -5.78e-05 1.49e-01 -1.91e-04 -2.37e-03 9.76e-04 -7.98e-04 -1.43e-03 ]
C [ 1.67e-02 1.87e-02 6.78e-03 3.64e-04 2.38e-04 9.20e-04 1.54e-01 4.79e-04 8.30e-05 9.63e-02 1.79e-04 8.61e-02 8.56e-02 ]
G [ 2.84e-02 7.70e-03 -9.93e-04 2.05e-01 1.87e-01 4.98e-04 5.01e-04 5.86e-04 2.07e-01 -3.84e-04 2.70e-02 1.38e-03 1.28e-04 ]
T [ -3.13e-03 -3.20e-03 5.43e-02 -3.60e-05 7.26e-04 8.29e-04 -1.58e-04 -1.67e-04 1.82e-04 -1.40e-03 2.53e-02 -7.20e-04 -4.27e-04 ]

Frequency matrix

A [ 213 611 236 18 22 1820 7 1930 11 189 380 173 132 ]
C [ 1048 665 268 5 4 74 1796 24 2 1454 38 1470 1559 ]
G [ 486 310 129 1950 1932 13 135 7 1958 111 657 278 27 ]
T [ 231 392 1345 5 20 71 40 17 7 224 903 57 260 ]

Alternative motif patterns (AMPs)

28 profiles found for the same TF (REST) in other cell types/tissues

Display profiles


Model ID Name Data Source Cell line/tissue Species Sequence logo
BP000035.1 REST ENCSR000BTV neural cell Homo sapiens
BP000036.1 REST ENCSR000BUP Panc1 Homo sapiens
BP000037.1 REST ENCSR000BUU Ishikawa Homo sapiens
BP000038.1 REST ENCSR000BVI HCT116 Homo sapiens
BP000063.1 REST ENCSR054JMQ K562 Homo sapiens
BP000075.1 REST ENCSR137ZMQ K562 Homo sapiens
BP000179.1 REST ENCSR893QWP liver Homo sapiens
BP000180.1 REST ENCSR896UBV HEK293 Homo sapiens
BP000343.1 REST ENCSR892DRK A549 Homo sapiens
BP000383.1 REST ENCSR867WPH liver Homo sapiens
Showing 10 profiles of page 2 from 3 pages