← All factors / TF RECORD

MGA1

YGR249W

View at SGD ↗

Protein similar to heat shock transcription factor; multicopy suppressor of pseudohyphal growth defects of ammonium permease mutants

01 / RECOMMENDED MATRIX

Best-performing DNA-binding model.

RecommendedSource: Morozov et. al.
Fisher’s P-value0.002812
Information content7.378
Max PWM score7.54
Recommended cutoff5.61
View and copy the recommended matrices ↘
Position frequency matrix (PFM)
A | 0.068 0.025 0.192 0.008 0.933 0.041 0.909 
C | 0.071 0.025 0.738 0.028 0.011 0.090 0.052 
G | 0.079 0.010 0.043 0.010 0.034 0.467 0.017 
T | 0.782 0.940 0.026 0.954 0.022 0.401 0.021 
Position count matrix (PCM)
A |   6   2  19   0  93   4  90 
C |   7   2  73   2   1   9   5 
G |   7   1   4   1   3  46   1 
T |  78  94   2  95   2  40   2 
Position weight matrix (PWM)
A | -1.55 -2.55 -0.51 -3.69  1.07 -2.05  1.04 
C | -0.93 -1.97  1.41 -1.86 -2.80 -0.69 -1.24 
G | -0.82 -2.89 -1.43 -2.89 -1.67  0.95 -2.36 
T |  0.89  1.08 -2.51  1.09 -2.68  0.23 -2.72 
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.

MGA1_AFoat et. al.P = 0.03688View matrix ↘
Sequence logo for MGA1_A
Fisher’s P-value0.03688
Information content9.482
Max PWM score11.67
Recommended cutoff10.96
Position frequency matrix (PFM)
A | 0.22 0.53 0.36 0.97 0.17 0.94 0.16 0.13 0.66 0.76 0.15 0.73 0.16 0.24 
C | 0.01 0.11 0.05 0.01 0.01 0.01 0.01 0.21 0.18 0.01 0.26 0.14 0.08 0.67 
G | 0.26 0.05 0.01 0.01 0.01 0.01 0.01 0.01 0.01 0.01 0.18 0.10 0.62 0.05 
T | 0.51 0.31 0.59 0.01 0.81 0.04 0.82 0.65 0.15 0.23 0.40 0.03 0.15 0.04 
Position count matrix (PCM)
A |  22  53  36  97  17  94  16  13  66  76  15  73  16  24 
C |   1  11   5   1   1   1   1  21  18   1  26  14   8  67 
G |  26   5   1   1   1   1   1   1   1   1  18  10  62   5 
T |  51  31  59   1  81   4  82  65  15  23  40   3  15   4 
Position weight matrix (PWM)
A | -0.37  0.50  0.12  1.11 -0.63  1.08 -0.69 -0.90  0.72  0.86 -0.76  0.82 -0.69 -0.29 
C | -2.89 -0.49 -1.28 -2.89 -2.89 -2.89 -2.89  0.15  0.00 -2.89  0.37 -0.25 -0.81  1.31 
G |  0.37 -1.28 -2.89 -2.89 -2.89 -2.89 -2.89 -2.89 -2.89 -2.89  0.00 -0.59  1.24 -1.28 
T |  0.47 -0.03  0.61 -3.47  0.93 -2.08  0.94  0.71 -0.76 -0.33  0.22 -2.37 -0.76 -2.08 
MGA1_BFoat et. al.P = 1View matrix ↘
Sequence logo for MGA1_B
Fisher’s P-value1
Information content22.2
Max PWM score24.31
Recommended cutoff18.23
Position frequency matrix (PFM)
A | 0.29 0.50 0.01 0.01 0.97 0.01 0.06 0.27 0.35 0.09 0.02 0.04 0.04 0.03 0.41 0.59 0.42 0.45 0.01 0.96 0.97 0.02 0.17 0.13 
C | 0.21 0.01 0.02 0.01 0.01 0.97 0.30 0.44 0.51 0.12 0.18 0.43 0.09 0.09 0.02 0.18 0.36 0.34 0.01 0.02 0.01 0.58 0.49 0.20 
G | 0.01 0.45 0.86 0.01 0.01 0.01 0.56 0.27 0.14 0.13 0.74 0.32 0.45 0.85 0.15 0.04 0.01 0.19 0.02 0.01 0.01 0.05 0.32 0.63 
T | 0.49 0.05 0.10 0.97 0.01 0.01 0.09 0.02 0.01 0.66 0.06 0.21 0.42 0.03 0.43 0.20 0.21 0.02 0.96 0.01 0.01 0.35 0.02 0.04 
Position count matrix (PCM)
A |  28  50   1   1  97   1   6  27  35   9   2   4   4   3  41  59  42  45   1  96  97   2  17  13 
C |  21   1   2   1   1  97  30  44  51  12  18  43   9   9   2  18  36  34   1   2   1  57  49  20 
G |   1  45  86   1   1   1  56  27  14  13  74  32  45  85  15   4   1  19   2   1   1   5  32  63 
T |  49   5  10  97   1   1   9   2   1  66   6  21  42   3  43  20  21   2  96   1   1  35   2   4 
Position weight matrix (PWM)
A | -0.10  0.45 -3.47 -3.47  1.11 -3.47 -1.67 -0.17  0.09 -1.27 -2.77 -2.08 -2.08 -2.37  0.25  0.61  0.27  0.34 -3.47  1.10  1.11 -2.77 -0.63 -0.90 
C |  0.15 -2.89 -2.20 -2.89 -2.89  1.68  0.51  0.89  1.04 -0.41  0.00  0.87 -0.69 -0.69 -2.20  0.00  0.69  0.64 -2.89 -2.20 -2.89  1.17  1.00  0.11 
G | -2.89  0.92  1.56 -2.89 -2.89 -2.89  1.13  0.41 -0.25 -0.33  1.41  0.58  0.92  1.55 -0.18 -1.50 -2.89  0.05 -2.20 -2.89 -2.89 -1.28  0.58  1.25 
T |  0.43 -1.86 -1.16  1.11 -3.47 -3.47 -1.27 -2.77 -3.47  0.72 -1.67 -0.42  0.27 -2.37  0.30 -0.47 -0.42 -2.77  1.10 -3.47 -3.47  0.09 -2.77 -2.08 
MGA1Zhu et. al.P = 0.01547View matrix ↘
Sequence logo for MGA1
Fisher’s P-value0.01547
Information content9.816
Max PWM score9.6
Recommended cutoff5.54
Position frequency matrix (PFM)
A | 0.78 0.19 0.70 0.01 0.97 0.97 0.01 0.84 0.07 
C | 0.01 0.11 0.20 0.01 0.01 0.01 0.82 0.04 0.51 
G | 0.20 0.17 0.10 0.97 0.01 0.01 0.02 0.08 0.07 
T | 0.01 0.53 0.01 0.01 0.01 0.01 0.16 0.03 0.36 
Position count matrix (PCM)
A |  78  19  70   1  97  97   1  84   7 
C |   1  11  20   1   1   1  82   4  51 
G |  20  17  10  97   1   1   2   8   7 
T |   1  53   1   1   1   1  16   3  36 
Position weight matrix (PWM)
A |  0.89 -0.52  0.78 -3.47  1.11  1.11 -3.47  0.97 -1.52 
C | -2.89 -0.49  0.11 -2.89 -2.89 -2.89  1.52 -1.50  1.04 
G |  0.11 -0.06 -0.59  1.68 -2.89 -2.89 -2.20 -0.81 -0.94 
T | -3.47  0.50 -3.47 -3.47 -3.47 -3.47 -0.69 -2.37  0.12 
MGA1Zhao and StormoP = 0.03477View matrix ↘
Sequence logo for MGA1
Fisher’s P-value0.03477
Information content4.058
Max PWM score5.62
Recommended cutoff4.04
Position frequency matrix (PFM)
A | 0.419 0.230 0.370 0.057 0.923 0.827 0.177 0.301 
C | 0.127 0.235 0.256 0.039 0.001 0.051 0.330 0.257 
G | 0.267 0.240 0.280 0.819 0.001 0.018 0.226 0.259 
T | 0.186 0.296 0.094 0.085 0.075 0.104 0.267 0.183 
Position count matrix (PCM)
A |  41  23  37   5  92  82  17  30 
C |  12  23  25   3   0   5  33  25 
G |  26  24  28  81   0   1  22  25 
T |  18  29   9   8   7  10  26  18 
Position weight matrix (PWM)
A |  0.27 -0.33  0.15 -1.73  1.06  0.95 -0.59 -0.06 
C | -0.35  0.27  0.35 -1.53 -5.19 -1.26  0.61  0.36 
G |  0.39  0.29  0.44  1.52 -5.19 -2.30  0.23  0.36 
T | -0.54 -0.08 -1.23 -1.33 -1.45 -1.12 -0.18 -0.56 
03 / EXPERIMENTAL CONTEXT

Gene-level annotations and interactions.

Genes bound in ChIP-chip experiments 188 genes

YAL027W, YAL037W, YBL018C, YBL059W, YBR041W, YBR086C, YBR087W, YBR159W, YBR166C, YBR167C, YBR168W, YBR216C, YBR217W, YCL002C, YCL006C, YCL007C, YCL008C, YCL009C, YCL010C, YCL054W, YCL055W, YCL056C, YCR002C, YCR004C, YCR005C, YCR006C, YCR008W, YCR012W, YCR028C, YDL044C, YDL089W, YDL090C, YDL206W, YDL237W, YDL238C, YDR030C, YDR031W, YDR067C, YDR068W, YDR125C, YDR126W, YDR146C, YDR147W, YDR210W-D, YDR279W, YDR284C, YDR285W, YDR314C, YDR322C-A, YDR323C, YDR370C, YDR371W, YDR372C, YDR373W, YDR393W, YDR473C, YEL004W, YEL005C, YEL030W, YER007C-A, YER013W, YER044C, YER077C, YER133W, YER138C, YFL012W, YFL013C, YFR023W, YGL204C, YGL230C, YGL248W, YGR024C, YGR040W, YGR073C, YGR075C, YGR150C, YGR166W, YGR168C, YGR191W, YGR207C, YGR208W, YGR218W, YHR028C, YHR072W, YHR072W-A, YHR155W, YHR156C, YHR157W, YIL035C, YIL048W, YIL139C, YJL003W, YJL004C, YJL023C, YJL030W, YJL031C, YJL060W, YJL145W, YJR007W, YJR054W, YJR075W, YJR082C, YJR088C, YJR089W, YJR098C, YJR099W, YKL039W, YKL040C, YKL058W, YKL059C, YKL068W, YKL071W, YKL072W, YKL077W, YKL177W, YKL179C, YKL220C, YKR087C, YKR103W, YLR367W, YMR071C, YMR072W, YMR097C, YMR098C, YMR110C, YMR125W, YMR126C, YMR134W, YMR194W, YMR257C, YMR259C, YMR267W, YNL004W, YNL005C, YNL100W, YNL101W, YNR055C, YOL023W, YOL036W, YOL064C, YOL082W, YOR001W, YOR004W, YOR030W, YOR043W, YOR044W, YOR093C, YOR094W, YOR102W, YOR185C, YOR186W, YOR209C, YOR210W, YOR258W, YOR280C, YOR282W, YOR285W, YOR287C, YOR296W, YOR297C, YOR298W, YOR304W, YOR315W, YOR318C, YOR319W, YOR360C, YPL069C, YPL070W, YPL071C, YPL073C, YPL122C, YPL125W, YPL157W, YPL158C, YPL202C, YPL235W, YPL236C, YPL254W, YPR007C, YPR104C, YPR107C, YPR108W, YPR158W-A, YPR158W-B, YPR172W, YPR179C, YPR180W, YPR197C

Genes affected by TF deletion 73 genes

YMR220W, YOR039W, YPL053C, YNL051W, YDR041W, YHR145C, YHR179W, YOR038C, YPL016W, YLR156W, YBR093C, YDR099W, YFR006W, YLR341W, YOR320C, YCL016C, YCL018W, YDR281C, YMR289W, YDR442W, YMR020W, YNR069C, YDL102W, YFR046C, YGR132C, YMR173W, YNL283C, YOR043W, YNR066C, YJR148W, YML111W, YGR133W, YLR099C, YOR074C, YMR145C, YLR158C, YDR538W, YCL025C, YGL112C, YLR159W, YPL191C, YNL289W, YNL229C, YDR246W, YOR268C, YDL143W, YDR237W, YGR135W, YKL120W, YMR173W-A, YPL063W, YKL001C, YKL159C, YGR046W, YPL163C, YBR024W, YBR026C, YIL102C, YKR067W, YKR099W, YNL106C, YHR136C, YNL293W, YLR302C, YBR244W, YEL037C, YHR135C, YBL019W, YBR149W, YFL068W, YJL044C, YKL007W, YGL130W

Genes supported by both experiments 1 genes

YOR043W