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GAT3

YLR013W

View at SGD ↗

Protein containing GATA family zinc finger motifs

01 / RECOMMENDED MATRIX

Best-performing DNA-binding model.

RecommendedSource: Macisaac et. al
Fisher’s P-value1.05e-07
Information content9.567
Max PWM score8.83
Recommended cutoff6.33
View and copy the recommended matrices ↘
Position frequency matrix (PFM)
A | 0.854 0.002 0.732 0.750 0.170 0.814 0.001 0.019 
C | 0.017 0.002 0.048 0.060 0.654 0.001 0.009 0.001 
G | 0.001 0.001 0.004 0.117 0.162 0.001 0.001 0.979 
T | 0.128 0.995 0.216 0.073 0.014 0.184 0.989 0.001 
Position count matrix (PCM)
A |  85   0  73  75  17  81   0   1 
C |   1   0   4   6  65   0   0   0 
G |   0   0   0  11  16   0   0  97 
T |  12  99  21   7   1  18  98   0 
Position weight matrix (PWM)
A |  0.98 -5.08  0.83  0.85 -0.63  0.93 -5.77 -2.82 
C | -2.36 -4.50 -1.32 -1.10  1.29 -5.19 -3.00 -5.19 
G | -5.19 -5.19 -3.81 -0.43 -0.11 -5.19 -5.19  1.69 
T | -0.92  1.13 -0.39 -1.48 -3.13 -0.55  1.13 -5.77 
02 / COMPARATIVE BENCHMARKS

Alternative candidate matrices 5

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

GAT3Badis et. al.P = 0.01258View matrix ↘
Sequence logo for GAT3
Fisher’s P-value0.01258
Information content6.871
Max PWM score6.66
Recommended cutoff5.26
Position frequency matrix (PFM)
A | 0.65 0.08 0.90 0.12 0.03 0.06 
C | 0.09 0.02 0.01 0.01 0.94 0.27 
G | 0.20 0.89 0.01 0.01 0.01 0.04 
T | 0.06 0.01 0.08 0.86 0.02 0.63 
Position count matrix (PCM)
A |  65   8  90  12   3   6 
C |   9   2   1   1  94  27 
G |  20  89   1   1   1   4 
T |   6   1   8  86   2  63 
Position weight matrix (PWM)
A |  0.71 -1.39  1.03 -0.98 -2.37 -1.67 
C | -0.69 -2.20 -2.89 -2.89  1.65  0.41 
G |  0.11  1.60 -2.89 -2.89 -2.89 -1.50 
T | -1.67 -3.47 -1.39  0.99 -2.77  0.68 
GAT3Foat et. al.P = 7.57e-17View matrix ↘
Sequence logo for GAT3
Fisher’s P-value7.57e-17
Information content21.06
Max PWM score18.85
Recommended cutoff10.37
Position frequency matrix (PFM)
A | 0.01 0.01 0.24 0.01 0.19 0.97 0.04 0.05 0.01 0.01 0.23 0.01 0.01 
C | 0.90 0.58 0.75 0.96 0.01 0.01 0.89 0.01 0.97 0.01 0.07 0.28 0.52 
G | 0.08 0.40 0.01 0.02 0.79 0.01 0.06 0.93 0.01 0.97 0.70 0.70 0.17 
T | 0.01 0.01 0.01 0.01 0.02 0.01 0.01 0.01 0.01 0.01 0.01 0.01 0.31 
Position count matrix (PCM)
A |   1   1  24   1  19  97   4   5   1   1  23   1   1 
C |  90  57  75  96   1   1  89   1  97   1   7  28  52 
G |   8  40   1   2  79   1   6  93   1  97  70  70  17 
T |   1   1   1   1   2   1   1   1   1   1   1   1  31 
Position weight matrix (PWM)
A | -3.47 -3.47 -0.29 -3.47 -0.52  1.11 -2.08 -1.86 -3.47 -3.47 -0.33 -3.47 -3.47 
C |  1.61  1.17  1.43  1.67 -2.89 -2.89  1.60 -2.89  1.68 -2.89 -0.94  0.44  1.06 
G | -0.81  0.80 -2.89 -2.20  1.48 -2.89 -1.10  1.64 -2.89  1.68  1.36  1.36 -0.06 
T | -3.47 -3.47 -3.47 -3.47 -2.77 -3.47 -3.47 -3.47 -3.47 -3.47 -3.47 -3.47 -0.03 
GAT3Morozov et. al.P = 1View matrix ↘
Sequence logo for GAT3
Fisher’s P-value1
Information content1.462
Max PWM score3.79
Recommended cutoff3.79
Position frequency matrix (PFM)
A | 0.147 0.235 0.235 0.147 0.147 
C | 0.235 0.235 0.147 0.147 0.147 
G | 0.147 0.382 0.471 0.147 0.559 
T | 0.471 0.147 0.147 0.559 0.147 
Position count matrix (PCM)
A |  14  23  23  14  14 
C |  23  23  14  14  14 
G |  14  38  47  14  55 
T |  47  14  14  55  14 
Position weight matrix (PWM)
A | -0.78 -0.31 -0.31 -0.78 -0.78 
C |  0.27  0.27 -0.20 -0.20 -0.20 
G | -0.20  0.75  0.96 -0.20  1.13 
T |  0.39 -0.78 -0.78  0.56 -0.78 
GAT3Zhu et. al.P = 0.1239View matrix ↘
Sequence logo for GAT3
Fisher’s P-value0.1239
Information content12.84
Max PWM score12.49
Recommended cutoff6.59
Position frequency matrix (PFM)
A | 0.60 0.52 0.45 0.25 0.03 0.71 0.02 0.95 0.16 0.01 0.01 0.96 0.08 
C | 0.22 0.16 0.13 0.19 0.29 0.01 0.01 0.01 0.01 0.97 0.07 0.01 0.88 
G | 0.10 0.18 0.18 0.11 0.38 0.27 0.96 0.01 0.01 0.01 0.01 0.02 0.02 
T | 0.08 0.15 0.23 0.46 0.30 0.01 0.01 0.03 0.82 0.01 0.91 0.01 0.02 
Position count matrix (PCM)
A |  60  52  45  25   3  71   2  95  16   1   1  96   8 
C |  22  16  13  19  28   1   1   1   1  97   7   1  88 
G |  10  18  18  11  38  27  96   1   1   1   1   2   2 
T |   8  15  23  46  30   1   1   3  82   1  91   1   2 
Position weight matrix (PWM)
A |  0.63  0.49  0.34 -0.25 -2.37  0.80 -2.77  1.09 -0.69 -3.47 -3.47  1.10 -1.39 
C |  0.20 -0.12 -0.33  0.05  0.48 -2.89 -2.89 -2.89 -2.89  1.68 -0.94 -2.89  1.59 
G | -0.59  0.00  0.00 -0.49  0.75  0.41  1.67 -2.89 -2.89 -2.89 -2.89 -2.20 -2.20 
T | -1.39 -0.76 -0.33  0.36 -0.06 -3.47 -3.47 -2.37  0.94 -3.47  1.05 -3.47 -2.77 
GAT3Zhao and StormoP = 4.25e-06View matrix ↘
Sequence logo for GAT3
Fisher’s P-value4.25e-06
Information content6.683
Max PWM score7.17
Recommended cutoff5.67
Position frequency matrix (PFM)
A | 0.202 0.969 0.335 0.002 0.001 0.544 0.204 
C | 0.122 0.001 0.005 0.956 0.069 0.179 0.431 
G | 0.606 0.019 0.005 0.001 0.005 0.133 0.183 
T | 0.070 0.011 0.655 0.041 0.925 0.144 0.183 
Position count matrix (PCM)
A |  20  96  33   0   0  54  20 
C |  12   0   0  95   6  17  43 
G |  60   1   0   0   0  13  18 
T |   7   1  65   4  92  14  18 
Position weight matrix (PWM)
A | -0.46  1.11  0.05 -5.08 -5.77  0.53 -0.45 
C | -0.39 -5.19 -3.58  1.67 -0.96 -0.01  0.87 
G |  1.21 -2.25 -3.58 -5.19 -3.58 -0.30  0.02 
T | -1.52 -3.37  0.72 -2.05  1.06 -0.80 -0.56 
03 / EXPERIMENTAL CONTEXT

Gene-level annotations and interactions.

Genes bound in ChIP-chip experiments 176 genes

YBL107C, YBL108W, YBL109W, YBL111C, YBL112C, YBL113C, YBR057C, YBR084C-A, YBR085W, YBR181C, YBR190W, YBR191W, YCL065W, YCL066W, YCL067C, YCL068C, YCL074W, YCR038C, YCR039C, YCR040W, YCR041W, YCR096C, YCR105W, YDL075W, YDL076C, YDL082W, YDL083C, YDL114W, YDL115C, YDL133W, YDL191W, YDL224C, YDR022C, YDR418W, YDR449C, YDR450W, YDR470C, YDR471W, YDR542W, YDR543C, YDR544C, YDR545W, YEL054C, YEL074W, YEL075C, YEL076C, YEL076C-A, YER056C-A, YER074W, YER116C, YER117W, YFL046W, YFL062W, YFL063W, YFL064C, YFL065C, YFL067W, YFR031C-A, YGL030W, YGL031C, YGL189C, YGL260W, YGL261C, YGR117C, YGR118W, YGR148C, YGR149W, YGR295C, YGR296W, YHL045W, YHL046C, YHL048W, YHL049C, YHR021C, YHR021W-A, YHR036W, YHR037W, YHR091C, YHR141C, YHR142W, YHR203C, YHR204W, YIL018W, YIL128W, YIL129C, YIL133C, YIL148W, YIL149C, YIL174W, YIL175W, YIL177C, YIR040C, YIR041W, YIR043C, YJL042W, YJL134W, YJL135W, YJL136C, YJL177W, YJL178C, YJL189W, YJL190C, YJL225C, YJR001W, YJR044C, YJR067C, YJR068W, YJR070C, YJR161C, YKL001C, YKL006C-A, YKL006W, YKL180W, YKL223W, YKL224C, YLL064C, YLL065W, YLL066C, YLL067C, YLR047C, YLR048W, YLR185W, YLR207W, YLR441C, YLR447C, YLR448W, YLR461W, YLR462W, YLR463C, YLR464W, YLR465C, YLR466W, YLR467W, YML024W, YML025C, YML026C, YML063W, YML064C, YML073C, YML132W, YML133C, YMR142C, YMR143W, YMR242C, YMR324C, YMR325W, YNL069C, YNL302C, YNL336W, YNL337W, YNL338W, YNL339C, YNR029C, YNR030W, YNR076W, YOL039W, YOL040C, YOL127W, YOL128C, YOL165C, YOL166C, YOR234C, YOR292C, YOR293W, YOR312C, YOR318C, YOR319W, YPL090C, YPL143W, YPL283C, YPR102C, YPR103W, YPR131C, YPR132W, YPR202W, YPR203W

Genes affected by TF deletion 49 genes

YHR146W, YOR377W, YPL016W, YJL050W, YBL024W, YGR211W, YBL091C-A, YAR015W, YEL020W-A, YGR160W, YHR182W, YJL095W, YLR068W, YOR043W, YMR023C, YNL248C, YFR017C, YGL111W, YGR006W, YNL182C, YOR324C, YDL201W, YDR346C, YLR129W, YMR290W-A, YNR001C, YNR038W, YNL036W, YPL254W, YLR258W, YOR272W, YKL120W, YMR235C, YNL256W, YPL030W, YPL063W, YNL160W, YER067W, YPL093W, YIL172C, YOR095C, YMR034C, YEL037C, YHR135C, YMR246W, YNL264C, YCL040W, YFL034C-B, YJL168C