Detailed information of deep learning profile BP001141.1

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: 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

Contribution weight matrix (CWM)

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

Frequency matrix

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

Hypothetical CWM

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

Other motifs identified by TF-MoDISco

Motif name: counts.pos_patterns.pattern_0

Num. of seqlets: 5507

Motif name: counts.pos_patterns.pattern_2

Num. of seqlets: 3839

Motif name: counts.pos_patterns.pattern_3

Num. of seqlets: 3694

Motif name: counts.pos_patterns.pattern_4

Num. of seqlets: 3332

Motif name: counts.pos_patterns.pattern_5

Num. of seqlets: 1501

Motif name: counts.pos_patterns.pattern_6

Num. of seqlets: 1400

Motif name: counts.pos_patterns.pattern_7

Num. of seqlets: 1267

Motif name: counts.pos_patterns.pattern_8

Num. of seqlets: 1223

Motif name: counts.pos_patterns.pattern_9

Num. of seqlets: 881

Motif name: counts.pos_patterns.pattern_10

Num. of seqlets: 348

Motif name: counts.pos_patterns.pattern_11

Num. of seqlets: 264

Motif name: counts.pos_patterns.pattern_12

Num. of seqlets: 223

Motif name: counts.pos_patterns.pattern_13

Num. of seqlets: 116

Motif name: counts.pos_patterns.pattern_14

Num. of seqlets: 103

Motif name: counts.pos_patterns.pattern_15

Num. of seqlets: 81

Motif name: counts.pos_patterns.pattern_19

Num. of seqlets: 36

Motif name: counts.pos_patterns.pattern_20

Num. of seqlets: 31

Motif name: counts.pos_patterns.pattern_21

Num. of seqlets: 25

Motif name: counts.pos_patterns.pattern_22

Num. of seqlets: 22