CompaRNA - on-line benchmarks of RNA structure prediction methods
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Table of contents:

  1. Overview

  2. Performance Plots

  3. Performance of MaxExpect - scored higher in this pairwise comparison

  4. Performance of Cylofold - scored lower in this pairwise comparison

  5. Compile and download dataset for MaxExpect & Cylofold [.zip] - may take several seconds...


Overview

Metric MaxExpect Cylofold
MCC 0.651 > 0.607
Average MCC ± 95% Confidence Intervals 0.679 ± 0.068 > 0.658 ± 0.061
Sensitivity 0.574 > 0.517
Positive Predictive Value 0.744 > 0.718
Total TP 1100 > 990
Total TN 222578 < 222679
Total FP 440 > 437
Total FP CONTRA 34 < 44
Total FP INCONS 345 > 344
Total FP COMP 61 > 49
Total FN 815 < 925
P-value 3.56938820447e-08

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Performance plots


  1. Comparison of performance of MaxExpect and Cylofold. Positive Predictive Value (PPV) is plotted against sensitivity. Each dot represents a single test of each method. See tables below for raw data (individual counts for MaxExpect and Cylofold).

  2. Comparison of performance of MaxExpect and Cylofold. Positive Predictive Value (PPV) is plotted against sensitivity. Each dot represents a single test of each method. See tables below for raw data (individual counts for MaxExpect and Cylofold).

  3. Average Matthews Correlation Coefficients (MCC) with 95% confidence intervals (CIs) were plotted for different RNA families, for which at least 3 members were present in the benchmarking dataset. 'n' denotes the number of MCCs used to calculate the average and CI. See tables below for raw data (individual counts for MaxExpect and Cylofold).

  4. Average Matthews Correlation Coefficients (MCC) with 95% confidence intervals (CIs) were plotted for different RNA families, for which at least 3 members were present in the benchmarking dataset. 'n' denotes the number of MCCs used to calculate the average and CI. See tables below for raw data (individual counts for MaxExpect and Cylofold).

  5. Comparison of average Matthews Correlation Coefficients (MCCs) for MaxExpect and Cylofold. The whiskers correspond to 95% confidence intervals (CIs). 'n' denotes the number of MCCs used to calculate average MCCs and CIs. See tables below for raw data (individual counts for MaxExpect and Cylofold).

  6. Comparison of average Matthews Correlation Coefficients (MCCs) for MaxExpect and Cylofold. The whiskers correspond to 95% confidence intervals (CIs). 'n' denotes the number of MCCs used to calculate average MCCs and CIs. See tables below for raw data (individual counts for MaxExpect and Cylofold).

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Performance of MaxExpect - scored higher in this pairwise comparison

1. Total counts & total scores for MaxExpect

Total Base Pair Counts
Total TP 1100
Total TN 222578
Total FP 440
Total FP CONTRA 34
Total FP INCONS 345
Total FP COMP 61
Total FN 815
Total Scores
MCC 0.651
Average MCC ± 95% Confidence Intervals 0.679 ± 0.068
Sensitivity 0.574
Positive Predictive Value 0.744
Nr of predictions 75

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2. Individual counts for MaxExpect [ download as .csv ]

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
2KRL_A - 0.76 0.60 0.96 24 5126 5 0 1 4 16
2KX8_A 0.94 0.89 1.00 16 845 0 0 0 0 2
2KXM_A - 0.83 0.70 1.00 7 344 0 0 0 0 3
2KZL_A - 0.86 0.74 1.00 14 1471 0 0 0 0 5
2L1F_B 0.98 0.96 1.00 24 2121 0 0 0 0 1
2L1F_A 0.98 0.96 1.00 23 2057 0 0 0 0 1
2L2K_A - 0.94 0.89 1.00 17 844 0 0 0 0 2
2L3C_B - 0.91 0.82 1.00 14 547 0 0 0 0 3
2L3E_A - 0.96 0.92 1.00 12 583 1 0 0 1 1
2L3J_B 0.94 0.88 1.00 30 2455 0 0 0 0 4
2L5Z_A - 0.86 0.75 1.00 9 316 0 0 0 0 3
2L94_A 0.97 0.95 1.00 19 971 0 0 0 0 1
2LA5_A - 0.39 0.26 0.63 5 622 3 1 2 0 14
2LC8_A -0.01 0.00 0.00 0 1525 15 2 13 0 20
2LDL_A - 0.90 0.82 1.00 9 342 1 0 0 1 2
2LDT_A - 0.85 0.73 1.00 11 454 0 0 0 0 4
2LI4_A - 0.93 0.88 1.00 14 482 0 0 0 0 2
2LK3_A - 0.95 0.90 1.00 9 267 0 0 0 0 1
2LKR_A - 0.81 0.74 0.88 29 6072 6 0 4 2 10
2LWK_A - 0.88 0.85 0.92 11 484 1 0 1 0 2
2RRC_A - 0.70 0.50 1.00 5 226 0 0 0 0 5
2XKV_B 0.51 0.50 0.53 10 4541 24 0 9 15 10
2XQD_Y 0.88 0.78 1.00 21 2829 0 0 0 0 6
2XXA_G 0.25 0.24 0.27 10 5114 27 1 26 0 32
2Y9C_V - 0.65 0.63 0.68 15 2256 8 1 6 1 9
2YIE_Z - -0.01 0.00 0.00 0 1525 15 3 12 0 12
2YIE_X - 0.36 0.33 0.40 4 1368 6 2 4 0 8
3ADB_C - 0.80 0.74 0.88 28 4154 4 0 4 0 10
3AKZ_H 0.84 0.75 0.95 21 2679 1 1 0 0 7
3AM1_B - 0.78 0.71 0.86 25 3211 4 0 4 0 10
3AMU_B 0.64 0.59 0.70 16 2980 9 0 7 2 11
3IZF_C 0.71 0.61 0.83 33 6863 7 1 6 0 21
3J0L_7 - -0.01 0.00 0.00 0 1213 12 0 12 0 17
3J0L_g - -0.01 0.00 0.00 0 461 4 1 3 0 4
3J0L_a - 0.39 0.31 0.50 5 1118 5 2 3 0 11
3J0L_2 - 0.25 0.24 0.26 8 6185 25 2 21 2 25
3J0L_1 - 0.76 0.63 0.92 12 1212 2 0 1 1 7
3J0L_h - 0.81 0.65 1.00 28 6077 2 0 0 2 15
3J16_L 0.29 0.23 0.37 7 2756 12 0 12 0 23
3J20_1 0.73 0.70 0.76 16 2905 5 0 5 0 7
3J20_0 0.44 0.40 0.50 12 2826 13 0 12 1 18
3J2C_O - 0.63 0.51 0.78 32 10255 10 0 9 1 31
3J2L_3 0.62 0.53 0.74 28 7837 12 0 10 2 25
3NDB_M - 0.78 0.69 0.89 42 9133 6 0 5 1 19
3NKB_B - 0.59 0.54 0.67 14 1995 7 0 7 0 12
3NMU_E - -0.01 0.00 0.00 0 553 10 1 7 2 6
3O58_3 0.35 0.34 0.35 12 12369 35 2 20 13 23
3O58_2 0.75 0.76 0.74 29 7221 11 3 7 1 9
3OVB_D - 1.00 1.00 1.00 11 584 1 0 0 1 0
3OVS_D - 0.96 0.92 1.00 12 549 0 0 0 0 1
3P22_G - 0.96 0.92 1.00 11 730 0 0 0 0 1
3PDR_A 0.76 0.63 0.94 45 12832 5 0 3 2 27
3R4F_A - 0.96 0.92 1.00 23 2122 0 0 0 0 2
3R9X_C - 0.84 0.80 0.89 8 586 2 0 1 1 2
3RKF_A 0.76 0.59 1.00 20 2191 0 0 0 0 14
3SD1_A 0.58 0.48 0.71 20 3888 8 1 7 0 22
3SIU_F - 0.85 0.73 1.00 8 370 0 0 0 0 3
3SN2_B 1.00 1.00 1.00 12 394 0 0 0 0 0
3TRZ_Z - 0.91 0.83 1.00 5 205 1 0 0 1 1
3TS2_V - 1.00 1.00 1.00 5 271 0 0 0 0 0
3U4M_B - 0.45 0.35 0.59 13 3138 9 1 8 0 24
3UZL_B 0.77 0.62 0.96 23 3546 1 0 1 0 14
3VJR_D - 0.96 0.92 1.00 12 618 0 0 0 0 1
3W3S_B 0.88 0.78 1.00 31 4722 1 0 0 1 9
3ZEX_D 0.69 0.61 0.79 30 6983 8 1 7 0 19
3ZEX_E - 0.00 0.00 0.00 0 21893 54 2 50 2 77
4A4U_A - 1.00 1.00 1.00 9 222 0 0 0 0 0
4AOB_A 0.50 0.40 0.63 17 4344 11 2 8 1 25
4ATO_G - 0.38 0.30 0.50 3 522 3 0 3 0 7
4ENB_A 0.76 0.58 1.00 11 1264 0 0 0 0 8
4ENC_A 0.31 0.26 0.38 5 1313 8 1 7 0 14
4FNJ_A - 0.79 0.63 1.00 10 585 0 0 0 0 6
4FRG_B 0.30 0.22 0.41 7 3469 10 1 9 0 25
4FRN_A 0.45 0.36 0.57 13 5128 10 2 8 0 23
4HXH_A - 1.00 1.00 1.00 6 319 0 0 0 0 0

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Performance of Cylofold - scored lower in this pairwise comparison

1. Total counts & total scores for Cylofold

Total Base Pair Counts
Total TP 990
Total TN 222679
Total FP 437
Total FP CONTRA 44
Total FP INCONS 344
Total FP COMP 49
Total FN 925
Total Scores
MCC 0.607
Average MCC ± 95% Confidence Intervals 0.658 ± 0.061
Sensitivity 0.517
Positive Predictive Value 0.718
Nr of predictions 75

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2. Individual counts for Cylofold [ download as .csv ]

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
2KRL_A - 0.72 0.60 0.86 24 5123 8 2 2 4 16
2KX8_A 0.94 0.89 1.00 16 845 0 0 0 0 2
2KXM_A - 0.70 0.50 1.00 5 346 0 0 0 0 5
2KZL_A - 0.72 0.53 1.00 10 1475 0 0 0 0 9
2L1F_B 0.92 0.84 1.00 21 2124 0 0 0 0 4
2L1F_A 0.91 0.83 1.00 20 2060 0 0 0 0 4
2L2K_A - 0.82 0.68 1.00 13 848 0 0 0 0 6
2L3C_B - 0.76 0.59 1.00 10 551 0 0 0 0 7
2L3E_A - 0.96 0.92 1.00 12 583 1 0 0 1 1
2L3J_B 0.89 0.79 1.00 27 2458 0 0 0 0 7
2L5Z_A - 0.86 0.75 1.00 9 316 0 0 0 0 3
2L94_A 0.97 0.95 1.00 19 971 0 0 0 0 1
2LA5_A - 0.46 0.26 0.83 5 624 1 0 1 0 14
2LC8_A 0.61 0.55 0.69 11 1524 5 0 5 0 9
2LDL_A - 0.73 0.55 1.00 6 345 0 0 0 0 5
2LDT_A - 0.85 0.73 1.00 11 454 0 0 0 0 4
2LI4_A - 0.93 0.88 1.00 14 482 0 0 0 0 2
2LK3_A - 0.95 0.90 1.00 9 267 0 0 0 0 1
2LKR_A - 0.50 0.44 0.59 17 6076 12 2 10 0 22
2LWK_A - 0.83 0.77 0.91 10 485 1 0 1 0 3
2RRC_A - 0.70 0.50 1.00 5 226 0 0 0 0 5
2XKV_B 0.38 0.40 0.36 8 4538 23 7 7 9 12
2XQD_Y 0.81 0.78 0.84 21 2825 4 4 0 0 6
2XXA_G 0.10 0.10 0.11 4 5115 32 1 31 0 38
2Y9C_V - 0.59 0.54 0.65 13 2258 8 1 6 1 11
2YIE_Z - -0.01 0.00 0.00 0 1529 11 3 8 0 12
2YIE_X - 0.30 0.33 0.29 4 1364 10 2 8 0 8
3ADB_C - 0.78 0.71 0.87 27 4155 4 0 4 0 11
3AKZ_H 0.66 0.57 0.76 16 2680 6 0 5 1 12
3AM1_B - 0.76 0.63 0.92 22 3216 2 0 2 0 13
3AMU_B 0.67 0.59 0.76 16 2982 7 0 5 2 11
3IZF_C 0.68 0.56 0.83 30 6867 6 0 6 0 24
3J0L_7 - 0.30 0.29 0.33 5 1210 10 0 10 0 12
3J0L_g - -0.01 0.00 0.00 0 461 4 1 3 0 4
3J0L_a - 0.22 0.19 0.27 3 1117 8 1 7 0 13
3J0L_2 - 0.39 0.36 0.43 12 6188 18 2 14 2 21
3J0L_1 - 0.65 0.47 0.90 9 1215 2 0 1 1 10
3J0L_h - 0.48 0.37 0.62 16 6079 10 0 10 0 27
3J16_L 0.75 0.57 1.00 17 2758 0 0 0 0 13
3J20_1 0.69 0.70 0.70 16 2903 7 2 5 0 7
3J20_0 0.66 0.57 0.77 17 2828 6 1 4 1 13
3J2C_O - 0.43 0.33 0.55 21 10258 18 0 17 1 42
3J2L_3 0.56 0.43 0.72 23 7843 11 0 9 2 30
3NDB_M - 0.58 0.48 0.71 29 9139 13 1 11 1 32
3NKB_B - 0.40 0.31 0.53 8 2001 7 0 7 0 18
3NMU_E - 0.20 0.17 0.25 1 557 6 1 2 3 5
3O58_3 0.36 0.34 0.38 12 12371 29 5 15 9 23
3O58_2 0.80 0.68 0.93 26 7232 3 0 2 1 12
3OVB_D - 1.00 1.00 1.00 11 584 1 0 0 1 0
3OVS_D - 0.96 0.92 1.00 12 549 0 0 0 0 1
3P22_G - 0.96 0.92 1.00 11 730 0 0 0 0 1
3PDR_A 0.72 0.54 0.95 39 12839 4 0 2 2 33
3R4F_A - 0.96 0.92 1.00 23 2122 0 0 0 0 2
3R9X_C - 0.84 0.80 0.89 8 586 2 0 1 1 2
3RKF_A 0.76 0.59 1.00 20 2191 0 0 0 0 14
3SD1_A 0.62 0.50 0.78 21 3889 6 0 6 0 21
3SIU_F - 0.73 0.55 1.00 6 372 0 0 0 0 5
3SN2_B 0.64 0.42 1.00 5 401 0 0 0 0 7
3TRZ_Z - 0.91 0.83 1.00 5 205 1 0 0 1 1
3TS2_V - 1.00 1.00 1.00 5 271 0 0 0 0 0
3U4M_B - 0.38 0.32 0.46 12 3134 14 0 14 0 25
3UZL_B 0.45 0.38 0.54 14 3544 12 1 11 0 23
3VJR_D - 0.96 0.92 1.00 12 618 0 0 0 0 1
3W3S_B 0.44 0.38 0.52 15 4724 15 0 14 1 25
3ZEX_D 0.58 0.49 0.69 24 6986 11 0 11 0 25
3ZEX_E - 0.00 0.00 0.00 0 21897 51 2 46 3 77
4A4U_A - 1.00 1.00 1.00 9 222 0 0 0 0 0
4AOB_A 0.35 0.26 0.48 11 4348 13 1 11 1 31
4ATO_G - 0.73 0.70 0.78 7 519 2 1 1 0 3
4ENB_A 0.89 0.79 1.00 15 1260 0 0 0 0 4
4ENC_A 0.86 0.79 0.94 15 1310 1 1 0 0 4
4FNJ_A - 0.70 0.50 1.00 8 587 0 0 0 0 8
4FRG_B 0.81 0.66 1.00 21 3465 0 0 0 0 11
4FRN_A 0.20 0.14 0.31 5 5135 11 2 9 0 31
4HXH_A - 1.00 1.00 1.00 6 319 0 0 0 0 0

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Matthews Correlation Coeffient, Sensitivity and Positive Predictive Value have been calculated based on the paper by Gardener & Giegerich, 2004.