← All factors / TF RECORD
UGA3
YDL170W
Transcriptional activator necessary for gamma-aminobutyrate (GABA)-dependent induction of GABA genes (such as UGA1, UGA2, UGA4); zinc-finger transcription factor of the Zn(2)-Cys(6) binuclear cluster domain type; localized to the nucleus
01 / RECOMMENDED MATRIX
Best-performing DNA-binding model.
Fisher’s P-value5.53e-05
Information content8.541
Max PWM score11.41
Recommended cutoff8.17
View and copy the recommended matrices ↘
Position frequency matrix (PFM)
A | 0.042 0.200 0.055 0.408 0.743 0.584 0.106 0.335 0.030 0.042 C | 0.704 0.709 0.150 0.071 0.058 0.104 0.327 0.519 0.020 0.050 G | 0.082 0.037 0.583 0.467 0.150 0.234 0.469 0.033 0.833 0.861 T | 0.172 0.054 0.213 0.054 0.049 0.078 0.098 0.114 0.117 0.047
Position count matrix (PCM)
A | 4 20 5 40 74 58 10 33 3 4 C | 70 70 15 7 5 10 32 51 2 5 G | 8 3 58 46 15 23 46 3 83 86 T | 17 5 21 5 4 7 9 11 11 4
Position weight matrix (PWM)
A | -2.03 -0.47 -1.76 0.24 0.84 0.60 -1.10 0.05 -2.37 -2.03 C | 1.36 1.37 -0.18 -0.93 -1.13 -0.55 0.60 1.06 -2.20 -1.28 G | -0.79 -1.58 1.18 0.95 -0.18 0.26 0.96 -1.70 1.53 1.57 T | -0.62 -1.78 -0.41 -1.78 -1.88 -1.41 -1.18 -1.03 -1.01 -1.92
02 / COMPARATIVE BENCHMARKS
Alternative candidate matrices 6
Historical matrix candidates from the original ScerTF database. Expand a source to inspect its original logo, scores, and matrix values.
UGA3Badis et. al.P = 0.6999View matrix ↘
Fisher’s P-value0.6999
Information content12.23
Max PWM score10.3
Recommended cutoff5.15
Position frequency matrix (PFM)
A | 0.04 0.01 0.01 0.01 0.01 0.02 0.86 C | 0.29 0.01 0.97 0.01 0.01 0.27 0.02 G | 0.63 0.97 0.01 0.97 0.97 0.69 0.02 T | 0.04 0.01 0.01 0.01 0.01 0.02 0.10
Position count matrix (PCM)
A | 4 1 1 1 1 2 86 C | 28 1 97 1 1 27 2 G | 63 97 1 97 97 69 2 T | 4 1 1 1 1 2 10
Position weight matrix (PWM)
A | -2.08 -3.47 -3.47 -3.47 -3.47 -2.77 0.99 C | 0.48 -2.89 1.68 -2.89 -2.89 0.41 -2.20 G | 1.25 1.68 -2.89 1.68 1.68 1.34 -2.20 T | -2.08 -3.47 -3.47 -3.47 -3.47 -2.77 -1.16
UGA3_AFoat et. al.P = 1View matrix ↘
Fisher’s P-value1
Information content20.43
Max PWM score23.55
Recommended cutoff17.66
Position frequency matrix (PFM)
A | 0.48 0.37 0.01 0.03 0.59 0.01 0.39 0.31 0.46 0.13 0.28 0.24 0.29 0.51 0.14 0.12 0.01 0.01 0.72 0.04 0.05 0.97 0.01 0.39 0.60 0.25 C | 0.12 0.40 0.54 0.79 0.08 0.96 0.01 0.22 0.25 0.12 0.34 0.19 0.21 0.04 0.63 0.38 0.73 0.38 0.16 0.11 0.93 0.01 0.93 0.01 0.34 0.01 G | 0.38 0.23 0.01 0.01 0.01 0.01 0.23 0.21 0.28 0.05 0.07 0.56 0.33 0.14 0.12 0.01 0.26 0.15 0.01 0.60 0.01 0.01 0.05 0.02 0.01 0.02 T | 0.02 0.01 0.45 0.17 0.32 0.02 0.37 0.27 0.01 0.71 0.30 0.01 0.18 0.30 0.11 0.50 0.01 0.46 0.11 0.26 0.01 0.01 0.01 0.58 0.06 0.73
Position count matrix (PCM)
A | 48 37 1 3 59 1 39 31 46 13 28 24 28 51 14 12 1 1 72 4 5 97 1 39 60 25 C | 12 40 54 79 8 96 1 22 25 12 34 19 21 4 63 38 73 38 16 11 93 1 93 1 34 1 G | 38 23 1 1 1 1 23 21 28 5 7 56 33 14 12 1 26 15 1 60 1 1 5 2 1 2 T | 2 1 45 17 32 2 37 27 1 71 30 1 18 30 11 50 1 46 11 26 1 1 1 57 6 73
Position weight matrix (PWM)
A | 0.41 0.15 -3.47 -2.37 0.61 -3.47 0.20 -0.03 0.36 -0.90 -0.13 -0.29 -0.10 0.47 -0.83 -0.98 -3.47 -3.47 0.81 -2.08 -1.86 1.11 -3.47 0.20 0.63 -0.25 C | -0.41 0.80 1.10 1.48 -0.81 1.67 -2.89 0.20 0.33 -0.41 0.64 0.05 0.15 -1.50 1.25 0.75 1.40 0.75 -0.12 -0.49 1.64 -2.89 1.64 -2.89 0.64 -2.89 G | 0.75 0.25 -2.89 -2.89 -2.89 -2.89 0.25 0.15 0.44 -1.28 -0.94 1.13 0.61 -0.25 -0.41 -2.89 0.37 -0.18 -2.89 1.20 -2.89 -2.89 -1.28 -2.20 -2.89 -2.20 T | -2.77 -3.47 0.34 -0.63 0.00 -2.77 0.15 -0.17 -3.47 0.80 -0.06 -3.47 -0.58 -0.06 -1.07 0.45 -3.47 0.36 -1.07 -0.21 -3.47 -3.47 -3.47 0.59 -1.67 0.82
UGA3_BFoat et. al.P = 9.53e-07View matrix ↘
Fisher’s P-value9.53e-07
Information content16.53
Max PWM score16.95
Recommended cutoff9.32
Position frequency matrix (PFM)
A | 0.04 0.71 0.49 0.05 0.01 0.35 0.01 0.10 0.11 0.01 0.43 0.46 0.03 0.21 0.37 0.01 C | 0.01 0.04 0.02 0.01 0.97 0.10 0.04 0.01 0.56 0.04 0.22 0.09 0.01 0.57 0.05 0.79 G | 0.86 0.22 0.45 0.01 0.01 0.55 0.01 0.73 0.31 0.35 0.01 0.01 0.95 0.01 0.01 0.01 T | 0.09 0.02 0.04 0.93 0.01 0.01 0.94 0.16 0.01 0.60 0.35 0.45 0.01 0.22 0.57 0.19
Position count matrix (PCM)
A | 4 71 49 5 1 35 1 10 11 1 43 46 3 21 37 1 C | 1 4 2 1 97 10 4 1 56 4 22 9 1 56 5 79 G | 86 22 45 1 1 55 1 73 31 35 1 1 95 1 1 1 T | 9 2 4 93 1 1 94 16 1 60 35 45 1 22 56 19
Position weight matrix (PWM)
A | -2.08 0.80 0.43 -1.86 -3.47 0.09 -3.47 -1.16 -1.07 -3.47 0.30 0.36 -2.37 -0.42 0.15 -3.47 C | -2.89 -1.50 -2.20 -2.89 1.68 -0.59 -1.50 -2.89 1.13 -1.50 0.20 -0.69 -2.89 1.15 -1.28 1.48 G | 1.56 0.20 0.92 -2.89 -2.89 1.12 -2.89 1.40 0.54 0.66 -2.89 -2.89 1.66 -2.89 -2.89 -2.89 T | -1.27 -2.77 -2.08 1.07 -3.47 -3.47 1.08 -0.69 -3.47 0.63 0.09 0.34 -3.47 -0.37 0.58 -0.52
UGA3_CFoat et. al.P = 0.01531View matrix ↘
Fisher’s P-value0.01531
Information content17.3
Max PWM score16.4
Recommended cutoff8.3
Position frequency matrix (PFM)
A | 0.86 0.19 0.68 0.94 0.01 0.01 0.37 0.01 0.01 0.02 0.01 0.20 0.24 0.97 0.01 C | 0.12 0.39 0.31 0.01 0.01 0.20 0.01 0.01 0.09 0.01 0.07 0.01 0.06 0.01 0.06 G | 0.01 0.39 0.01 0.04 0.01 0.79 0.61 0.01 0.19 0.09 0.92 0.78 0.01 0.01 0.54 T | 0.01 0.03 0.01 0.01 0.97 0.01 0.01 0.97 0.71 0.88 0.01 0.01 0.69 0.01 0.39
Position count matrix (PCM)
A | 86 19 68 94 1 1 37 1 1 2 1 20 24 97 1 C | 12 39 31 1 1 20 1 1 9 1 7 1 6 1 6 G | 1 39 1 4 1 79 61 1 19 9 92 78 1 1 54 T | 1 3 1 1 97 1 1 97 71 88 1 1 69 1 39
Position weight matrix (PWM)
A | 0.99 -0.52 0.75 1.08 -3.47 -3.47 0.15 -3.47 -3.47 -2.77 -3.47 -0.47 -0.29 1.11 -3.47 C | -0.41 0.77 0.54 -2.89 -2.89 0.11 -2.89 -2.89 -0.69 -2.89 -0.94 -2.89 -1.10 -2.89 -1.10 G | -2.89 0.77 -2.89 -1.50 -2.89 1.48 1.22 -2.89 0.05 -0.69 1.63 1.47 -2.89 -2.89 1.10 T | -3.47 -2.37 -3.47 -3.47 1.11 -3.47 -3.47 1.11 0.80 1.01 -3.47 -3.47 0.77 -3.47 0.20
UGA3Harbison et. al.P = 0.3436View matrix ↘
Fisher’s P-value0.3436
Information content13.28
Max PWM score11.4
Recommended cutoff9.66
Position frequency matrix (PFM)
A | 0.012 0.012 0.012 0.250 0.250 0.250 0.250 0.012 0.012 0.012 C | 0.964 0.964 0.012 0.250 0.250 0.250 0.250 0.964 0.012 0.012 G | 0.012 0.012 0.964 0.250 0.250 0.250 0.250 0.012 0.964 0.964 T | 0.012 0.012 0.012 0.250 0.250 0.250 0.250 0.012 0.012 0.012
Position count matrix (PCM)
A | 1 1 1 25 25 25 25 1 1 1 C | 96 96 1 25 25 25 25 96 1 1 G | 1 1 96 25 25 25 25 1 96 96 T | 1 1 1 25 25 25 25 1 1 1
Position weight matrix (PWM)
A | -3.28 -3.28 -3.28 -0.25 -0.25 -0.25 -0.25 -3.28 -3.28 -3.28 C | 1.68 1.68 -2.71 0.33 0.33 0.33 0.33 1.68 -2.71 -2.71 G | -2.71 -2.71 1.68 0.33 0.33 0.33 0.33 -2.71 1.68 1.68 T | -3.28 -3.28 -3.28 -0.25 -0.25 -0.25 -0.25 -3.28 -3.28 -3.28
UGA3Macisaac et. alP = 0.3436View matrix ↘
Fisher’s P-value0.3436
Information content13.28
Max PWM score11.4
Recommended cutoff9.66
Position frequency matrix (PFM)
A | 0.012 0.012 0.012 0.250 0.250 0.250 0.250 0.012 0.012 0.012 C | 0.964 0.964 0.012 0.250 0.250 0.250 0.250 0.964 0.012 0.012 G | 0.012 0.012 0.964 0.250 0.250 0.250 0.250 0.012 0.964 0.964 T | 0.012 0.012 0.012 0.250 0.250 0.250 0.250 0.012 0.012 0.012
Position count matrix (PCM)
A | 1 1 1 25 25 25 25 1 1 1 C | 96 96 1 25 25 25 25 96 1 1 G | 1 1 96 25 25 25 25 1 96 96 T | 1 1 1 25 25 25 25 1 1 1
Position weight matrix (PWM)
A | -3.28 -3.28 -3.28 -0.25 -0.25 -0.25 -0.25 -3.28 -3.28 -3.28 C | 1.68 1.68 -2.71 0.33 0.33 0.33 0.33 1.68 -2.71 -2.71 G | -2.71 -2.71 1.68 0.33 0.33 0.33 0.33 -2.71 1.68 1.68 T | -3.28 -3.28 -3.28 -0.25 -0.25 -0.25 -0.25 -3.28 -3.28 -3.28
03 / EXPERIMENTAL CONTEXT
Gene-level annotations and interactions.
Genes bound in ChIP-chip experiments 53 genes
YAL017W, YAL018C, YAL049C, YBL106C, YBR102C, YBR103W, YDL092W, YDL094C, YDL132W, YDL154W, YDL189W, YDL190C, YDL206W, YDR159W, YDR177W, YDR394W, YER105C, YER106W, YFL002W-A, YFL002W-B, YFR023W, YFR057W, YGL083W, YGL084C, YGL115W, YGL227W, YGR017W, YGR188C, YHR016C, YHR017W, YHR123W, YHR164C, YJR083C, YJR084W, YKL078W, YKL080W, YKR102W, YLR273C, YLR274W, YML124C, YMR135W-A, YNL105W, YNL225C, YOL076W, YOL077C, YOR102W, YOR128C, YOR190W, YPL039W, YPL040C, YPL116W, YPL117C, YPL258C
Genes affected by TF deletion 81 genes
YNL275W, YOR377W, YBR005W, YCR009C, YGL166W, YMR009W, YOL014W, YOL016C, YOR220W, YOR226C, YGR120C, YMR189W, YHR053C, YMR316W, YBR093C, YOL139C, YOL109W, YBL026W, YBR288C, YDR281C, YBR010W, YLR284C, YLR257W, YOR385W, YIL117C, YOR202W, YBR166C, YDL135C, YDL075W, YGR161C, YJL124C, YLR097C, YOR327C, YDL170W, YHR215W, YLR194C, YPL156C, YBR101C, YMR112C, YMR142C, YOL149W, YOR298C-A, YPL273W, YAR071W, YBL028C, YDL201W, YER035W, YGL148W, YGR253C, YKL214C, YML063W, YML094W, YML095C-A, YMR321C, YPL117C, YDR210W, YGR136W, YGR142W, YLR292C, YLR294C, YNL031C, YNL096C, YOL032W, YBR174C, YDR209C, YGR135W, YGR137W, YKL120W, YOR052C, YGR019W, YKL001C, YIL066C, YLR172C, YDR481C, YDL241W, YER100W, YGR195W, YLR167W, YPL129W, YBR244W, YNL007C
Genes supported by both experiments 1 genes
YPL117C
Predicted TF–TF partners 3 genes
GIS1, MSN4, RGM1