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

  1. Overview

  2. Performance Plots

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

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

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


Overview

Metric RNAsubopt Cylofold
MCC 0.782 > 0.741
Average MCC ± 95% Confidence Intervals 0.790 ± 0.074 > 0.752 ± 0.068
Sensitivity 0.788 > 0.724
Positive Predictive Value 0.785 > 0.767
Total TP 872 > 802
Total TN 59453 < 59519
Total FP 361 > 330
Total FP CONTRA 49 < 65
Total FP INCONS 190 > 178
Total FP COMP 122 > 87
Total FN 235 < 305
P-value 3.56938820447e-08

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Performance plots


  1. Comparison of performance of RNAsubopt 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 RNAsubopt and Cylofold).

  2. 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 RNAsubopt and Cylofold).

  3. Comparison of average Matthews Correlation Coefficients (MCCs) for RNAsubopt 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 RNAsubopt and Cylofold).

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Performance of RNAsubopt - scored higher in this pairwise comparison

1. Total counts & total scores for RNAsubopt

Total Base Pair Counts
Total TP 872
Total TN 59453
Total FP 361
Total FP CONTRA 49
Total FP INCONS 190
Total FP COMP 122
Total FN 235
Total Scores
MCC 0.782
Average MCC ± 95% Confidence Intervals 0.790 ± 0.074
Sensitivity 0.788
Positive Predictive Value 0.785
Nr of predictions 63

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

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
2KRL_A - 0.62 0.61 0.64 14 2002 15 5 3 7 9
2KX8_A 0.97 0.94 1.00 15 356 0 0 0 0 1
2KXM_A - 1.00 1.00 1.00 8 141 0 0 0 0 0
2KZL_A - 1.00 1.00 1.00 13 507 1 0 0 1 0
2L1F_A 0.95 0.91 1.00 21 742 0 0 0 0 2
2L1F_B 0.96 0.92 1.00 22 769 0 0 0 0 2
2L2K_A - 1.00 1.00 1.00 17 332 0 0 0 0 0
2L3C_B - 0.96 0.93 1.00 13 226 0 0 0 0 1
2L3E_A - 1.00 1.00 1.00 12 228 1 0 0 1 0
2L3J_B 1.00 1.00 1.00 30 955 0 0 0 0 0
2L5Z_A - 1.00 1.00 1.00 9 102 0 0 0 0 0
2L94_A 1.00 1.00 1.00 18 339 1 0 0 1 0
2LA5_A - 0.77 0.71 0.83 5 269 3 0 1 2 2
2LC8_A -0.03 0.00 0.00 0 513 15 3 12 0 18
2LDL_A - 1.00 1.00 1.00 9 131 1 0 0 1 0
2LDT_A - 1.00 1.00 1.00 11 151 0 0 0 0 0
2LI4_A - 1.00 1.00 1.00 14 175 0 0 0 0 0
2LK3_A - 1.00 1.00 1.00 9 91 0 0 0 0 0
2LKR_A - 0.85 0.86 0.83 25 2410 14 0 5 9 4
2LWK_A - 0.95 0.91 1.00 10 197 1 0 0 1 1
2RRC_A - 1.00 1.00 1.00 7 68 0 0 0 0 0
2XKV_B 0.64 0.73 0.57 8 1821 25 0 6 19 3
2XQD_Y 0.83 0.81 0.85 17 1109 4 0 3 1 4
2XXA_G 0.49 0.49 0.52 17 2012 17 1 15 1 18
2Y9C_V - 0.79 0.83 0.75 15 886 8 0 5 3 3
2YIE_Z - -0.02 0.00 0.00 0 587 15 6 9 0 8
2YIE_X - 1.00 1.00 1.00 7 537 4 0 0 4 0
3ADB_C - 0.98 0.97 1.00 32 1787 0 0 0 0 1
3AKZ_H 0.43 0.45 0.43 9 1106 14 3 9 2 11
3AM1_B - 1.00 1.00 1.00 29 1437 0 0 0 0 0
3AMU_B 0.81 0.79 0.83 15 1139 6 0 3 3 4
3IZF_C 0.89 0.91 0.86 32 2603 9 0 5 4 3
3J0L_7 - -0.02 0.00 0.00 0 507 12 2 10 0 10
3J0L_2 - 0.28 0.31 0.28 8 2221 25 2 19 4 18
3J0L_a - 0.35 0.36 0.36 4 400 8 3 4 1 7
3J0L_1 - 0.83 0.77 0.91 10 473 4 0 1 3 3
3J0L_h - 0.87 0.81 0.93 26 2112 4 1 1 2 6
3J0L_g - -0.01 0.00 0.00 0 173 5 1 2 2 2
3J16_L 0.49 0.52 0.48 11 1136 12 3 9 0 10
3NDB_M - 0.93 0.93 0.93 41 3670 9 0 3 6 3
3NKB_B - 0.66 0.68 0.65 13 715 7 0 7 0 6
3NMU_E - 1.00 1.00 1.00 3 213 5 0 0 5 0
3O58_3 0.41 0.50 0.34 11 4732 35 6 15 14 11
3O58_2 0.87 0.90 0.85 28 2721 13 0 5 8 3
3OVB_D - 1.00 1.00 1.00 11 215 1 0 0 1 0
3OVS_D - 1.00 1.00 1.00 12 204 0 0 0 0 0
3P22_G - 1.00 1.00 1.00 11 301 0 0 0 0 0
3PDR_A 0.90 0.90 0.90 45 4790 7 2 3 2 5
3R4F_A - 1.00 1.00 1.00 22 884 1 0 0 1 0
3R9X_C - 1.00 1.00 1.00 8 221 2 0 0 2 0
3RKF_A 0.91 0.83 1.00 20 846 0 0 0 0 4
3SD1_A 0.73 0.72 0.75 21 1505 7 4 3 0 8
3SIU_F - 1.00 1.00 1.00 8 137 0 0 0 0 0
3SN2_B 0.95 0.92 1.00 11 143 0 0 0 0 1
3TRZ_Z - 1.00 1.00 1.00 5 87 1 0 0 1 0
3TS2_V - 1.00 1.00 1.00 5 103 0 0 0 0 0
3U4M_B - 0.49 0.55 0.46 12 1250 14 3 11 0 10
3UZL_B 0.49 0.50 0.50 8 1277 15 0 8 7 8
3VJR_D - 1.00 1.00 1.00 12 239 0 0 0 0 0
4A4U_A - 1.00 1.00 1.00 9 96 0 0 0 0 0
4AOB_A 0.62 0.62 0.64 18 1409 11 4 6 1 11
4ENB_A 0.85 0.73 1.00 11 461 2 0 0 2 4
4ENC_A 0.36 0.33 0.42 5 484 7 0 7 0 10

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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 802
Total TN 59519
Total FP 330
Total FP CONTRA 65
Total FP INCONS 178
Total FP COMP 87
Total FN 305
Total Scores
MCC 0.741
Average MCC ± 95% Confidence Intervals 0.752 ± 0.068
Sensitivity 0.724
Positive Predictive Value 0.767
Nr of predictions 63

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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 - 0.85 0.87 0.83 20 2000 12 4 0 8 3
2KX8_A 1.00 1.00 1.00 16 355 0 0 0 0 0
2KXM_A - 0.78 0.63 1.00 5 144 0 0 0 0 3
2KZL_A - 0.83 0.69 1.00 9 511 1 0 0 1 4
2L1F_A 0.93 0.87 1.00 20 743 0 0 0 0 3
2L1F_B 0.93 0.88 1.00 21 770 0 0 0 0 3
2L2K_A - 0.87 0.76 1.00 13 336 0 0 0 0 4
2L3C_B - 0.84 0.71 1.00 10 229 0 0 0 0 4
2L3E_A - 1.00 1.00 1.00 12 228 1 0 0 1 0
2L3J_B 0.95 0.90 1.00 27 958 0 0 0 0 3
2L5Z_A - 1.00 1.00 1.00 9 102 0 0 0 0 0
2L94_A 1.00 1.00 1.00 18 339 1 0 0 1 0
2LA5_A - 0.77 0.71 0.83 5 269 1 0 1 0 2
2LC8_A 0.64 0.61 0.69 11 512 5 1 4 0 7
2LDL_A - 0.81 0.67 1.00 6 134 0 0 0 0 3
2LDT_A - 1.00 1.00 1.00 11 151 0 0 0 0 0
2LI4_A - 1.00 1.00 1.00 14 175 0 0 0 0 0
2LK3_A - 1.00 1.00 1.00 9 91 0 0 0 0 0
2LKR_A - 0.56 0.55 0.57 16 2412 13 4 8 1 13
2LWK_A - 0.95 0.91 1.00 10 197 1 0 0 1 1
2RRC_A - 0.83 0.71 1.00 5 70 0 0 0 0 2
2XKV_B 0.41 0.55 0.32 6 1816 25 9 4 12 5
2XQD_Y 0.89 0.95 0.83 20 1105 5 4 0 1 1
2XXA_G 0.10 0.11 0.11 4 2009 32 2 30 0 31
2Y9C_V - 0.72 0.72 0.72 13 888 8 0 5 3 5
2YIE_Z - -0.02 0.00 0.00 0 591 11 5 6 0 8
2YIE_X - 0.43 0.57 0.33 4 532 10 2 6 2 3
3ADB_C - 0.84 0.82 0.87 27 1788 4 0 4 0 6
3AKZ_H 0.77 0.75 0.79 15 1108 7 0 4 3 5
3AM1_B - 0.83 0.76 0.92 22 1442 2 0 2 0 7
3AMU_B 0.77 0.79 0.75 15 1137 8 0 5 3 4
3IZF_C 0.85 0.83 0.88 29 2607 7 0 4 3 6
3J0L_7 - 0.41 0.50 0.36 5 505 10 3 6 1 5
3J0L_2 - 0.49 0.46 0.52 12 2227 18 0 11 7 14
3J0L_a - 0.17 0.18 0.20 2 401 9 3 5 1 9
3J0L_1 - 0.73 0.62 0.89 8 475 3 0 1 2 5
3J0L_h - 0.55 0.50 0.62 16 2114 10 2 8 0 16
3J0L_g - -0.01 0.00 0.00 0 174 4 0 2 2 2
3J16_L 0.90 0.81 1.00 17 1142 0 0 0 0 4
3NDB_M - 0.68 0.64 0.74 28 3676 14 2 8 4 16
3NKB_B - 0.46 0.42 0.53 8 720 7 0 7 0 11
3NMU_E - 0.28 0.33 0.25 1 212 6 1 2 3 2
3O58_3 0.42 0.50 0.35 11 4733 30 9 11 10 11
3O58_2 0.90 0.84 0.96 26 2727 3 0 1 2 5
3OVB_D - 1.00 1.00 1.00 11 215 1 0 0 1 0
3OVS_D - 1.00 1.00 1.00 12 204 0 0 0 0 0
3P22_G - 1.00 1.00 1.00 11 301 0 0 0 0 0
3PDR_A 0.86 0.78 0.95 39 4799 4 1 1 2 11
3R4F_A - 1.00 1.00 1.00 22 884 1 0 0 1 0
3R9X_C - 1.00 1.00 1.00 8 221 2 0 0 2 0
3RKF_A 0.91 0.83 1.00 20 846 0 0 0 0 4
3SD1_A 0.71 0.69 0.74 20 1506 7 2 5 0 9
3SIU_F - 0.86 0.75 1.00 6 139 0 0 0 0 2
3SN2_B 0.63 0.42 1.00 5 149 0 0 0 0 7
3TRZ_Z - 1.00 1.00 1.00 5 87 1 0 0 1 0
3TS2_V - 1.00 1.00 1.00 5 103 0 0 0 0 0
3U4M_B - 0.49 0.55 0.46 12 1250 14 3 11 0 10
3UZL_B 0.45 0.50 0.42 8 1274 18 4 7 7 8
3VJR_D - 1.00 1.00 1.00 12 239 0 0 0 0 0
4A4U_A - 1.00 1.00 1.00 9 96 0 0 0 0 0
4AOB_A 0.42 0.38 0.48 11 1414 13 3 9 1 18
4ENB_A 1.00 1.00 1.00 15 457 0 0 0 0 0
4ENC_A 0.97 1.00 0.94 15 480 1 1 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.