S.ScerTFYeast transcription factor database Aaron Spivak
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INO2

YDR123C, SCS1, DIE1

View at SGD ↗

Component of the heteromeric Ino2p/Ino4p basic helix-loop-helix transcription activator that binds inositol/choline-responsive elements (ICREs), required for derepression of phospholipid biosynthetic genes in response to inositol depletion

01 / RECOMMENDED MATRIX

Best-performing DNA-binding model.

RecommendedSource: Morozov et. al.
Fisher’s P-value9.45e-22
Information content11.07
Max PWM score10.02
Recommended cutoff7.71
View and copy the recommended matrices ↘
Position frequency matrix (PFM)
A | 0.023 0.015 0.959 0.025 0.623 0.003 0.037 0.038 
C | 0.064 0.966 0.014 0.773 0.014 0.006 0.007 0.757 
G | 0.446 0.003 0.006 0.131 0.351 0.009 0.927 0.150 
T | 0.467 0.015 0.021 0.071 0.013 0.981 0.029 0.054
Position count matrix (PCM)
A |   2   1  95   2  62   0   3   3 
C |   6  96   1  77   1   0   0  75 
G |  44   0   0  13  35   0  92  15 
T |  46   1   2   7   1  98   2   5
Position weight matrix (PWM)
A | -2.63 -3.06  1.10 -2.55  0.67 -4.67 -2.16 -2.13 
C | -1.03  1.68 -2.55  1.46 -2.55 -3.40 -3.25  1.44 
G |  0.91 -4.09 -3.40 -0.32  0.67 -3.00  1.64 -0.18 
T |  0.38 -3.06 -2.72 -1.51 -3.20  1.12 -2.40 -1.78
02 / COMPARATIVE BENCHMARKS

Alternative candidate matrices 4

Historical matrix candidates from the original ScerTF database. Expand a source to inspect its original logo, scores, and matrix values.

INO2Foat et. al.P = 3.41e-19View matrix ↘
Sequence logo for INO2
Fisher’s P-value3.41e-19
Information content10.58
Max PWM score10.21
Recommended cutoff8.15
Position frequency matrix (PFM)
A | 0.22 0.08 0.01 0.88 0.01 0.70 0.11 0.01 0.06 
C | 0.08 0.06 0.97 0.01 0.88 0.01 0.01 0.01 0.58 
G | 0.11 0.21 0.01 0.10 0.01 0.29 0.02 0.97 0.23 
T | 0.58 0.66 0.01 0.01 0.10 0.01 0.86 0.01 0.14
Position count matrix (PCM)
A |  22   8   1  88   1  70  11   1   6 
C |   8   6  97   1  88   1   1   1  57 
G |  11  21   1  10   1  28   2  97  23 
T |  57  66   1   1  10   1  86   1  14
Position weight matrix (PWM)
A | -0.37 -1.39 -3.47  1.01 -3.47  0.78 -1.07 -3.47 -1.67 
C | -0.81 -1.10  1.68 -2.89  1.59 -2.89 -2.89 -2.89  1.17 
G | -0.49  0.15 -2.89 -0.59 -2.89  0.48 -2.20  1.68  0.25 
T |  0.59  0.72 -3.47 -3.47 -1.16 -3.47  0.99 -3.47 -0.83
Foat et. al.
INO2Harbison et. al.P = 1.42e-17View matrix ↘
Sequence logo for INO2
Fisher’s P-value1.42e-17
Information content10.12
Max PWM score9.26
Recommended cutoff6.17
Position frequency matrix (PFM)
A | 0.026 0.894 0.050 0.749 0.029 0.013 0.018 
C | 0.925 0.023 0.793 0.052 0.004 0.004 0.780 
G | 0.021 0.009 0.116 0.173 0.004 0.976 0.149 
T | 0.028 0.072 0.041 0.026 0.963 0.007 0.053
Position count matrix (PCM)
A |   2  89   5  74   2   1   1 
C |  92   2  79   5   0   0  78 
G |   2   0  11  17   0  97  14 
T |   2   7   4   2  96   0   5
Position weight matrix (PWM)
A | -2.51  1.03 -1.86  0.85 -2.40 -3.20 -2.88 
C |  1.64 -2.06  1.48 -1.24 -3.81 -3.81  1.47 
G | -2.15 -3.00 -0.44 -0.04 -3.81  1.69 -0.19 
T | -2.44 -1.49 -2.05 -2.51  1.10 -3.82 -1.80
Harbison et. al.
INO2Macisaac et. alP = 1.95e-17View matrix ↘
Sequence logo for INO2
Fisher’s P-value1.95e-17
Information content12.3
Max PWM score11.23
Recommended cutoff7.72
Position frequency matrix (PFM)
A | 0.126 0.001 0.917 0.001 0.061 0.067 0.001 0.835 0.793 
C | 0.116 0.987 0.039 0.100 0.001 0.010 0.132 0.071 0.020 
G | 0.712 0.001 0.001 0.010 0.928 0.051 0.866 0.093 0.029 
T | 0.046 0.011 0.043 0.889 0.010 0.872 0.001 0.001 0.158
Position count matrix (PCM)
A |  12   0  91   0   6   6   0  83  79 
C |  11  98   3  10   0   1  13   7   2 
G |  71   0   0   1  92   5  86   9   2 
T |   4   1   4  88   1  87   0   0  15
Position weight matrix (PWM)
A | -0.93 -5.77  1.05 -5.77 -1.66 -1.56 -5.77  0.96  0.91 
C | -0.44  1.70 -1.53 -0.59 -5.19 -2.89 -0.31 -0.93 -2.20 
G |  1.38 -5.19 -5.19 -2.89  1.64 -1.26  1.57 -0.66 -1.83 
T | -1.94 -3.37 -2.01  1.02 -3.47  1.00 -5.77 -5.77 -0.71
Macisaac et. al
INO2Pachkov et alP = 1.52e-15View matrix ↘
Sequence logo for INO2
Fisher’s P-value1.52e-15
Information content15.2
Max PWM score13.09
Recommended cutoff10.83
Position frequency matrix (PFM)
A | 0.244 0.002 0.878 0.001 0.061 0.058 0.001 0.870 0.953 0.838 0.671 
C | 0.210 0.998 0.057 0.015 0.001 0.006 0.001 0.049 0.001 0.001 0.001 
G | 0.515 0.001 0.015 0.001 0.939 0.020 1.000 0.081 0.047 0.121 0.126 
T | 0.031 0.001 0.049 0.985 0.001 0.916 0.001 0.001 0.001 0.041 0.203
Position count matrix (PCM)
A |  24   0  87   0   6   5   0  87  95  83  67 
C |  21  99   5   1   0   0   0   4   0   0   0 
G |  51   0   1   0  93   2 100   8   4  12  12 
T |   3   0   4  98   0  91   0   0   0   4  20
Position weight matrix (PWM)
A | -0.27 -5.08  1.01 -5.77 -1.66 -1.71 -5.77  1.00  1.09  0.96  0.74 
C |  0.15  1.71 -1.15 -2.48 -5.19 -3.40 -5.19 -1.30 -5.19 -5.19 -5.19 
G |  1.05 -5.19 -2.48 -5.19  1.65 -2.20  1.71 -0.80 -1.34 -0.40 -0.36 
T | -2.33 -5.77 -1.88  1.12 -5.77  1.05 -5.77 -5.77 -5.77 -2.05 -0.46
Pachkov et al
03 / EXPERIMENTAL CONTEXT

Gene-level annotations and interactions.

Genes bound in ChIP-chip experiments 114 genes

YAL048C, YAL053W, YAL054C, YBL106C, YBR029C, YBR030W, YBR032W, YBR050C, YBR083W, YCR057C, YCR092C, YCR093W, YCR098C, YDL049C, YDL080C, YDR050C, YDR072C, YDR073W, YDR123C, YDR124W, YDR129C, YDR146C, YDR147W, YDR169C, YDR274C, YDR275W, YDR278C, YDR289C, YDR312W, YDR345C, YDR428C, YDR497C, YDR521W, YER033C, YER034W, YER043C, YER091C, YER092W, YGR050C, YGR157W, YGR238C, YGR253C, YHL020C, YHR082C, YHR083W, YJL048C, YJL117W, YJL119C, YJL140W, YJL141C, YJL142C, YJL149W, YJL150W, YJL151C, YJL152W, YJL153C, YJR073C, YJR074W, YJR104C, YJR105W, YKL060C, YKL079W, YKL081W, YKL082C, YKL182W, YKR037C, YLR034C, YLR168C, YLR169W, YLR171W, YLR229C, YLR347C, YLR349W, YLR447C, YLR448W, YML075C, YML096W, YML097C, YMR010W, YMR070W, YNL043C, YNL044W, YNL080C, YNL103W, YNL104C, YNL117W, YNL118C, YNL129W, YNL130C, YNL169C, YNL171C, YNL175C, YNL178W, YNL277W, YNL306W, YNL307C, YNR016C, YNR017W, YOL087C, YOL146W, YOL147C, YOR032C, YOR097C, YOR211C, YOR212W, YOR230W, YOR234C, YOR316C, YOR317W, YPL018W, YPL019C, YPL231W, YPL254W, YPR035W

Genes affected by TF deletion 62 genes

YKL043W, YPL021W, YPL240C, YNL210W, YPL016W, YDR527W, YOR317W, YBR093C, YBR129C, YOL107W, YDR281C, YLR155C, YLR157C, YCR050C, YDR438W, YAL043C, YDL134C, YOR043W, YMR023C, YMR171C, YBR134W, YIR042C, YLR158C, YBR101C, YFL016C, YNL184C, YOR298C-A, YAR071W, YGL248W, YHR007C, YLR260W, YML130C, YNL064C, YDR209C, YKL120W, YHR067W, YHR219W, YLR168C, YKL027W, YLL012W, YMR067C, YBR185C, YHR138C, YJL079C, YOR027W, YGL255W, YLR302C, YMR066W, YOR218C, YJL076W, YLR049C, YOR090C, YPL075W, YMR126C, YBL051C, YDR123C, YFL068W, YNL170W, YOL101C, YOR306C, YNL007C, YNL324W

Genes supported by both experiments 3 genes

YDR123C, YLR168C, YOR317W

Predicted TF–TF partners 3 genes

CBF1, TYE7, YAP7

Explore 3 original interaction plots →