Detailed information of deep learning profile BP001141.1

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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: BP001141.1
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)

 
A [ 0.00 0.00 0.00 0.01 -0.00 -0.00 -0.00 -0.00 -0.00 0.01 0.00 0.08 0.03 0.02 -0.00 -0.00 0.00 0.00 0.00 ]
C [ 0.00 0.00 0.00 -0.00 -0.00 -0.00 0.07 0.05 -0.00 0.00 0.00 -0.00 -0.00 -0.00 -0.00 0.02 0.00 0.00 0.00 ]
G [ 0.00 0.00 0.00 0.00 -0.00 -0.00 -0.00 0.00 -0.00 0.01 0.09 -0.00 0.00 -0.00 0.03 -0.00 0.00 0.00 0.00 ]
T [ -0.00 -0.00 0.00 0.00 0.05 0.04 -0.00 0.00 0.06 -0.00 0.00 -0.00 -0.00 -0.00 -0.00 -0.00 -0.00 0.00 -0.00 ]

Frequency matrix

       
A [ 1012 1025 1023 1060 1018 1077 1053 1108 1015 1062 1000 1126 1038 1059 1077 996 1104 1431 1516 198 132 160 42 66 1919 37 3925 2941 2907 410 806 1522 1092 1258 1092 1032 966 1056 1100 1012 1094 1007 1025 998 1052 1058 1082 1104 1031 1033 ]
C [ 952 926 930 909 966 937 948 947 855 926 861 963 952 869 897 1020 981 796 330 76 351 3672 3455 23 248 0 2 202 107 260 2117 863 829 859 808 885 948 935 817 978 847 926 935 947 864 875 902 882 898 926 ]
G [ 917 898 853 906 851 863 894 835 917 901 950 906 901 884 951 845 885 701 766 87 112 69 4 13 1624 3903 8 610 573 2642 348 757 1028 855 1003 944 1011 873 931 931 926 993 880 906 917 978 932 952 959 884 ]
T [ 1060 1092 1135 1066 1106 1064 1046 1051 1154 1052 1130 946 1050 1129 1016 1080 971 1013 1329 3580 3346 40 440 3839 150 1 6 188 354 629 670 799 992 969 1038 1080 1016 1077 1093 1020 1074 1015 1101 1090 1108 1030 1025 1003 1053 1098 ]

Hypothetical CWM

   
A [ 0.00 0.00 0.00 0.01 0.02 0.00 -0.01 0.00 -0.03 -0.01 0.02 0.02 0.08 0.04 0.03 -0.00 -0.00 ]
C [ 0.01 0.02 0.01 0.02 -0.01 -0.01 0.01 0.07 0.06 -0.02 0.04 -0.04 -0.02 0.00 -0.00 -0.00 0.04 ]
G [ 0.02 0.01 0.02 0.01 0.02 -0.01 -0.01 -0.01 0.00 -0.00 0.03 0.09 -0.02 0.01 0.01 0.05 -0.01 ]
T [ -0.00 -0.00 0.00 0.01 0.01 0.05 0.05 -0.02 0.01 0.06 -0.04 -0.04 -0.01 -0.00 -0.00 0.00 0.00 ]

Other motifs identified by TF-MoDISco

 

Motif name: counts.pos_patterns.pattern_0

Num. of seqlets: 5507

CWM

PFM

     

HCWM

Motif name: counts.pos_patterns.pattern_2

Num. of seqlets: 3839

CWM

PFM

     

HCWM

Motif name: counts.pos_patterns.pattern_3

Num. of seqlets: 3694

CWM

PFM

     

HCWM

Motif name: counts.pos_patterns.pattern_4

Num. of seqlets: 3332

CWM

PFM

     

HCWM

Motif name: counts.pos_patterns.pattern_5

Num. of seqlets: 1501

CWM

PFM

     

HCWM

Motif name: counts.pos_patterns.pattern_6

Num. of seqlets: 1400

CWM

PFM

     

HCWM

Motif name: counts.pos_patterns.pattern_7

Num. of seqlets: 1267

CWM

PFM

     

HCWM

Motif name: counts.pos_patterns.pattern_8

Num. of seqlets: 1223

CWM

PFM

     

HCWM

Motif name: counts.pos_patterns.pattern_9

Num. of seqlets: 881

CWM

PFM

     

HCWM

Motif name: counts.pos_patterns.pattern_10

Num. of seqlets: 348

CWM

PFM

     

HCWM

Motif name: counts.pos_patterns.pattern_11

Num. of seqlets: 264

CWM

PFM

     

HCWM

Motif name: counts.pos_patterns.pattern_12

Num. of seqlets: 223

CWM

PFM

     

HCWM

Motif name: counts.pos_patterns.pattern_13

Num. of seqlets: 116

CWM

PFM

     

HCWM

Motif name: counts.pos_patterns.pattern_14

Num. of seqlets: 103

CWM

PFM

     

HCWM

Motif name: counts.pos_patterns.pattern_15

Num. of seqlets: 81

CWM

PFM

     

HCWM

Motif name: counts.pos_patterns.pattern_19

Num. of seqlets: 36

CWM

PFM

     

HCWM

Motif name: counts.pos_patterns.pattern_20

Num. of seqlets: 31

CWM

PFM

     

HCWM

Motif name: counts.pos_patterns.pattern_21

Num. of seqlets: 25

CWM

PFM

     

HCWM

Motif name: counts.pos_patterns.pattern_22

Num. of seqlets: 22

CWM

PFM

     

HCWM