← All factors / TF RECORD
CHA4
YLR098C, SIL3, SIL2
DNA binding transcriptional activator, mediates serine/threonine activation of the catabolic L-serine (L-threonine) deaminase (CHA1); Zinc-finger protein with Zn[2]-Cys[6] fungal-type binuclear cluster domain
01 / RECOMMENDED MATRIX
Best-performing DNA-binding model.
Fisher’s P-value0.01066
Information content7.573
Max PWM score13.23
Recommended cutoff8.98
View and copy the recommended matrices ↘
Position frequency matrix (PFM)
A | 0.041 0.068 0.117 0.218 0.109 0.559 0.194 0.304 0.363 0.121 0.348 0.314 0.155 0.293 0.158 0.017 0.561 C | 0.809 0.074 0.102 0.176 0.169 0.097 0.305 0.286 0.205 0.055 0.192 0.138 0.255 0.391 0.483 0.083 0.166 G | 0.079 0.759 0.759 0.148 0.311 0.134 0.165 0.240 0.191 0.494 0.227 0.306 0.339 0.125 0.219 0.833 0.084 T | 0.072 0.099 0.021 0.458 0.412 0.210 0.336 0.170 0.241 0.329 0.232 0.242 0.251 0.192 0.140 0.067 0.189
Position count matrix (PCM)
A | 4 6 11 21 10 55 19 30 36 12 34 31 15 29 15 1 56 C | 80 7 10 17 16 9 30 28 20 5 19 13 25 39 48 8 16 G | 7 75 75 14 31 13 16 24 19 49 22 30 33 12 21 83 8 T | 7 9 2 45 41 21 33 17 24 32 23 24 25 19 14 6 18
Position weight matrix (PWM)
A | -2.05 -1.55 -1.01 -0.38 -1.08 0.56 -0.50 -0.05 0.13 -0.97 0.08 -0.02 -0.72 -0.09 -0.71 -2.94 0.56 C | 1.50 -0.89 -0.57 -0.02 -0.06 -0.62 0.53 0.46 0.13 -1.19 0.06 -0.27 0.35 0.78 0.99 -0.77 -0.08 G | -0.82 1.44 1.44 -0.20 0.55 -0.30 -0.09 0.29 0.06 1.01 0.23 0.53 0.63 -0.36 0.20 1.53 -0.76 T | -1.49 -1.17 -2.72 0.36 0.25 -0.42 0.05 -0.63 -0.28 0.03 -0.32 -0.28 -0.24 -0.51 -0.83 -1.56 -0.53
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.
CHA4Badis et. al.P = 1View matrix ↘
Fisher’s P-value1
Information content12.07
Max PWM score10.27
Recommended cutoff7.7
Position frequency matrix (PFM)
A | 0.22 0.01 0.01 0.01 0.01 0.70 0.22 C | 0.05 0.01 0.97 0.01 0.01 0.01 0.01 G | 0.68 0.97 0.01 0.97 0.97 0.28 0.76 T | 0.05 0.01 0.01 0.01 0.01 0.01 0.01
Position count matrix (PCM)
A | 22 1 1 1 1 70 22 C | 5 1 97 1 1 1 1 G | 68 97 1 97 97 28 76 T | 5 1 1 1 1 1 1
Position weight matrix (PWM)
A | -0.37 -3.47 -3.47 -3.47 -3.47 0.78 -0.37 C | -1.28 -2.89 1.68 -2.89 -2.89 -2.89 -2.89 G | 1.33 1.68 -2.89 1.68 1.68 0.44 1.44 T | -1.86 -3.47 -3.47 -3.47 -3.47 -3.47 -3.47
CHA4_AFoat et. al.P = 0.0003646View matrix ↘
Fisher’s P-value0.0003646
Information content12.34
Max PWM score14.03
Recommended cutoff8.09
Position frequency matrix (PFM)
A | 0.48 0.93 0.01 0.01 0.01 0.34 0.23 0.44 0.01 0.78 0.05 0.07 0.38 C | 0.11 0.01 0.65 0.97 0.96 0.01 0.03 0.03 0.64 0.17 0.65 0.21 0.37 G | 0.37 0.01 0.01 0.01 0.01 0.64 0.39 0.27 0.08 0.03 0.01 0.49 0.03 T | 0.05 0.05 0.34 0.01 0.02 0.01 0.34 0.26 0.27 0.01 0.29 0.22 0.22
Position count matrix (PCM)
A | 48 93 1 1 1 34 23 44 1 78 5 7 38 C | 11 1 65 97 96 1 3 3 64 17 65 21 37 G | 37 1 1 1 1 64 39 27 8 3 1 49 3 T | 5 5 34 1 2 1 34 26 27 1 28 22 22
Position weight matrix (PWM)
A | 0.41 1.07 -3.47 -3.47 -3.47 0.06 -0.33 0.32 -3.47 0.89 -1.86 -1.52 0.17 C | -0.49 -2.89 1.28 1.68 1.67 -2.89 -1.79 -1.79 1.27 -0.06 1.28 0.15 0.72 G | 0.72 -2.89 -2.89 -2.89 -2.89 1.27 0.77 0.41 -0.81 -1.79 -2.89 1.00 -1.79 T | -1.86 -1.86 0.06 -3.47 -2.77 -3.47 0.06 -0.21 -0.17 -3.47 -0.10 -0.37 -0.37
CHA4_BFoat et. al.P = 0.0005895View matrix ↘
Fisher’s P-value0.0005895
Information content19.63
Max PWM score18.77
Recommended cutoff10.5
Position frequency matrix (PFM)
A | 0.05 0.01 0.09 0.01 0.97 0.28 0.09 0.01 0.12 0.01 0.97 0.01 0.60 0.01 0.01 C | 0.55 0.49 0.65 0.97 0.01 0.71 0.80 0.04 0.41 0.76 0.01 0.97 0.01 0.84 0.01 G | 0.01 0.01 0.01 0.01 0.01 0.01 0.02 0.41 0.07 0.22 0.01 0.01 0.01 0.13 0.97 T | 0.39 0.50 0.26 0.01 0.01 0.01 0.09 0.55 0.40 0.01 0.01 0.01 0.38 0.03 0.01
Position count matrix (PCM)
A | 5 1 9 1 97 28 9 1 12 1 97 1 60 1 1 C | 55 49 65 97 1 71 80 4 41 76 1 97 1 84 1 G | 1 1 1 1 1 1 2 41 7 22 1 1 1 13 97 T | 39 50 26 1 1 1 9 55 40 1 1 1 38 3 1
Position weight matrix (PWM)
A | -1.86 -3.47 -1.27 -3.47 1.11 -0.13 -1.27 -3.47 -0.98 -3.47 1.11 -3.47 0.63 -3.47 -3.47 C | 1.12 1.00 1.28 1.68 -2.89 1.37 1.49 -1.50 0.82 1.44 -2.89 1.68 -2.89 1.54 -2.89 G | -2.89 -2.89 -2.89 -2.89 -2.89 -2.89 -2.20 0.82 -0.94 0.20 -2.89 -2.89 -2.89 -0.33 1.68 T | 0.20 0.45 -0.21 -3.47 -3.47 -3.47 -1.27 0.54 0.22 -3.47 -3.47 -3.47 0.17 -2.37 -3.47
CHA4Macisaac et. alP = 0.001232View matrix ↘
Fisher’s P-value0.001232
Information content10.35
Max PWM score10.52
Recommended cutoff6.06
Position frequency matrix (PFM)
A | 0.140 0.120 0.020 0.060 0.978 0.060 0.160 0.680 0.320 C | 0.060 0.020 0.978 0.001 0.001 0.100 0.140 0.160 0.001 G | 0.040 0.840 0.001 0.938 0.020 0.040 0.620 0.020 0.380 T | 0.760 0.020 0.001 0.001 0.001 0.800 0.080 0.140 0.300
Position count matrix (PCM)
A | 14 12 2 6 97 6 16 68 32 C | 6 2 97 0 0 10 14 16 0 G | 4 84 0 93 2 4 62 2 38 T | 76 2 0 0 0 80 8 14 30
Position weight matrix (PWM)
A | -0.83 -0.98 -2.77 -1.67 1.12 -1.67 -0.69 0.75 0.00 C | -1.10 -2.20 1.69 -5.19 -5.19 -0.59 -0.25 -0.12 -5.19 G | -1.50 1.54 -5.19 1.65 -2.20 -1.50 1.24 -2.20 0.75 T | 0.86 -2.77 -5.77 -5.77 -5.77 0.92 -1.39 -0.83 -0.06
CHA4Zhu et. al.P = 1View matrix ↘
Fisher’s P-value1
Information content14.6
Max PWM score18.18
Recommended cutoff13.63
Position frequency matrix (PFM)
A | 0.11 0.19 0.13 0.31 0.70 0.42 0.10 0.01 0.01 0.01 0.02 0.01 0.16 0.06 0.11 0.28 0.19 0.22 0.06 C | 0.16 0.12 0.20 0.14 0.05 0.07 0.56 0.16 0.97 0.97 0.01 0.95 0.72 0.27 0.32 0.29 0.22 0.14 0.25 G | 0.58 0.35 0.43 0.14 0.07 0.03 0.07 0.02 0.01 0.01 0.96 0.02 0.02 0.40 0.33 0.13 0.30 0.29 0.50 T | 0.16 0.34 0.24 0.41 0.19 0.48 0.28 0.81 0.01 0.01 0.01 0.02 0.10 0.28 0.25 0.30 0.29 0.34 0.19
Position count matrix (PCM)
A | 11 19 13 31 70 42 10 1 1 1 2 1 16 6 11 28 19 22 6 C | 16 12 20 14 5 7 56 16 97 97 1 95 72 27 32 28 22 14 25 G | 57 35 43 14 7 3 7 2 1 1 96 2 2 40 33 13 30 28 50 T | 16 34 24 41 19 48 28 81 1 1 1 2 10 28 25 30 28 34 19
Position weight matrix (PWM)
A | -1.07 -0.52 -0.90 -0.03 0.78 0.27 -1.16 -3.47 -3.47 -3.47 -2.77 -3.47 -0.69 -1.67 -1.07 -0.13 -0.52 -0.37 -1.67 C | -0.12 -0.41 0.11 -0.25 -1.28 -0.94 1.13 -0.12 1.68 1.68 -2.89 1.66 1.39 0.41 0.58 0.48 0.20 -0.25 0.33 G | 1.17 0.66 0.87 -0.25 -0.94 -1.79 -0.94 -2.20 -2.89 -2.89 1.67 -2.20 -2.20 0.80 0.61 -0.33 0.51 0.48 1.02 T | -0.69 0.06 -0.29 0.25 -0.52 0.41 -0.13 0.93 -3.47 -3.47 -3.47 -2.77 -1.16 -0.13 -0.25 -0.06 -0.10 0.06 -0.52
CHA4Zhao and StormoP = 0.8536View matrix ↘
Fisher’s P-value0.8536
Information content6.466
Max PWM score6.44
Recommended cutoff6.4
Position frequency matrix (PFM)
A | 0.140 0.035 0.001 0.016 0.492 C | 0.150 0.797 0.027 0.055 0.130 G | 0.567 0.049 0.971 0.927 0.287 T | 0.143 0.119 0.001 0.001 0.091
Position count matrix (PCM)
A | 14 3 0 1 49 C | 15 79 2 5 13 G | 56 4 97 92 28 T | 14 11 0 0 9
Position weight matrix (PWM)
A | -0.83 -2.21 -5.77 -3.00 0.43 C | -0.18 1.49 -1.90 -1.19 -0.33 G | 1.15 -1.30 1.69 1.64 0.47 T | -0.81 -0.99 -5.77 -5.77 -1.26
03 / EXPERIMENTAL CONTEXT
Gene-level annotations and interactions.
Genes bound in ChIP-chip experiments 80 genes
YBL025W, YBR245C, YBR251W, YBR272C, YCL038C, YCL063W, YCL064C, YCL065W, YCL066W, YCL067C, YCR039C, YCR040W, YCR041W, YDL034W, YDL036C, YDL054C, YDR056C, YDR057W, YDR076W, YDR149C, YDR177W, YDR304C, YDR322W, YDR355C, YDR523C, YER007C-A, YER044C, YER082C, YER084W, YER085C, YER086W, YER181C, YGL002W, YGL003C, YGL121C, YGL227W, YGR066C, YGR100W, YHR065C, YHR066W, YHR091C, YHR186C, YHR187W, YIL097W, YIL098C, YIL139C, YJL148W, YJL205C-A, YJR012C, YJR013W, YJR014W, YKL077W, YKL129C, YKR026C, YLR053C, YLR367W, YLR395C, YLR415C, YLR416C, YLR417W, YMR065W, YMR135W-A, YMR187C, YNL123W, YNL296W, YOL033W, YOL102C, YOR093C, YOR094W, YOR154W, YOR209C, YOR210W, YOR280C, YOR282W, YOR318C, YOR319W, YPL194W, YPR139C, YPR140W, YPR172W
Genes affected by TF deletion 41 genes
YOR225W, YGR097W, YOR226C, YMR189W, YPL016W, YPR138C, YER081W, YGR211W, YIL051C, YLR441C, YOR043W, YCL063W, YCL064C, YLR099C, YPL273W, YCL025C, YDL201W, YDR344C, YKL177W, YMR321C, YPL119C, YLR258W, YAR018C, YKL120W, YKL001C, YLR355C, YNL160W, YPR035W, YER100W, YBL108W, YAL060W, YGL255W, YMR034C, YHR137W, YLR111W, YLR049C, YFL034C-A, YGR085C, YLR362W, YDL218W, YFL034C-B
Genes supported by both experiments 2 genes
YCL063W, YCL064C