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

  1. Overview

  2. Performance Plots

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

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

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


Overview

Metric RNAshapes RNASLOpt
MCC 0.713 > 0.679
Average MCC ± 95% Confidence Intervals 0.742 ± 0.124 > 0.723 ± 0.118
Sensitivity 0.715 > 0.649
Positive Predictive Value 0.721 > 0.721
Total TP 318 > 289
Total TN 23982 < 24022
Total FP 178 > 154
Total FP CONTRA 29 > 28
Total FP INCONS 94 > 84
Total FP COMP 55 > 42
Total FN 127 < 156
P-value 3.56938820447e-08

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Performance plots


  1. Comparison of performance of RNAshapes and RNASLOpt. 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 RNAshapes and RNASLOpt).

  2. Comparison of average Matthews Correlation Coefficients (MCCs) for RNAshapes and RNASLOpt. 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 RNAshapes and RNASLOpt).

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Performance of RNAshapes - scored higher in this pairwise comparison

1. Total counts & total scores for RNAshapes

Total Base Pair Counts
Total TP 318
Total TN 23982
Total FP 178
Total FP CONTRA 29
Total FP INCONS 94
Total FP COMP 55
Total FN 127
Total Scores
MCC 0.713
Average MCC ± 95% Confidence Intervals 0.742 ± 0.124
Sensitivity 0.715
Positive Predictive Value 0.721
Nr of predictions 30

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

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
2LC8_A 0.64 0.61 0.69 11 512 5 0 5 0 7
2LDL_A - 1.00 1.00 1.00 9 131 1 0 0 1 0
2LHP_A - 1.00 1.00 1.00 15 246 0 0 0 0 0
2LI4_A - 1.00 1.00 1.00 14 175 0 0 0 0 0
2LJJ_A - 1.00 1.00 1.00 7 123 3 0 0 3 0
2LK3_A - 1.00 1.00 1.00 9 91 0 0 0 0 0
2LKR_A - 1.00 1.00 1.00 29 2411 6 0 0 6 0
2LQZ_A - 1.00 1.00 1.00 8 124 2 0 0 2 0
2LWK_A - 0.95 0.91 1.00 10 197 1 0 0 1 1
3J0L_8 - 1.00 1.00 1.00 7 69 0 0 0 0 0
3J0L_a - 0.18 0.18 0.22 2 402 8 3 4 1 9
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_7 - -0.02 0.00 0.00 0 507 12 2 10 0 10
3J0L_g - -0.01 0.00 0.00 0 174 4 0 2 2 2
3J0L_2 - 0.46 0.46 0.48 12 2225 20 1 12 7 14
3J16_L 0.59 0.57 0.63 12 1140 7 0 7 0 9
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
3TS0_U - 1.00 1.00 1.00 6 112 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 0.43 0.50 0.38 8 1272 17 4 9 4 8
3VJR_D - 1.00 1.00 1.00 12 239 0 0 0 0 0
4A1C_3 0.86 0.84 0.89 31 2728 7 0 4 3 6
4A1C_2 0.19 0.25 0.16 5 4484 41 11 16 14 15
4A4U_A - 1.00 1.00 1.00 9 96 0 0 0 0 0
4AOB_A 0.60 0.59 0.63 17 1410 11 4 6 1 12
4ENB_A 0.85 0.73 1.00 11 461 2 0 0 2 4
4ENC_A 0.37 0.33 0.45 5 485 7 0 6 1 10

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Performance of RNASLOpt - scored lower in this pairwise comparison

1. Total counts & total scores for RNASLOpt

Total Base Pair Counts
Total TP 289
Total TN 24022
Total FP 154
Total FP CONTRA 28
Total FP INCONS 84
Total FP COMP 42
Total FN 156
Total Scores
MCC 0.679
Average MCC ± 95% Confidence Intervals 0.723 ± 0.118
Sensitivity 0.649
Positive Predictive Value 0.721
Nr of predictions 30

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

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
2LC8_A 0.48 0.39 0.64 7 517 4 0 4 0 11
2LDL_A - 1.00 1.00 1.00 9 131 1 0 0 1 0
2LHP_A - 1.00 1.00 1.00 15 246 0 0 0 0 0
2LI4_A - 1.00 1.00 1.00 14 175 0 0 0 0 0
2LJJ_A - 1.00 1.00 1.00 7 123 3 0 0 3 0
2LK3_A - 1.00 1.00 1.00 9 91 0 0 0 0 0
2LKR_A - 0.70 0.69 0.71 20 2412 13 1 7 5 9
2LQZ_A - 1.00 1.00 1.00 8 124 2 0 0 2 0
2LWK_A - 0.95 0.91 1.00 10 197 1 0 0 1 1
3J0L_8 - 0.74 0.57 1.00 4 72 0 0 0 0 3
3J0L_a - 0.21 0.18 0.29 2 404 6 3 2 1 9
3J0L_1 - 0.73 0.62 0.89 8 475 4 0 1 3 5
3J0L_h - 0.81 0.66 1.00 21 2119 0 0 0 0 11
3J0L_7 - -0.02 0.00 0.00 0 506 13 3 10 0 10
3J0L_g - -0.01 0.00 0.00 0 174 4 0 2 2 2
3J0L_2 - 0.49 0.46 0.52 12 2227 18 0 11 7 14
3J16_L 0.63 0.57 0.71 12 1142 5 0 5 0 9
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 2 0 0 2 0
3TS0_U - 1.00 1.00 1.00 6 112 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 0.55 0.50 0.62 8 1280 9 1 4 4 8
3VJR_D - 1.00 1.00 1.00 12 239 0 0 0 0 0
4A1C_3 0.79 0.73 0.87 27 2732 5 0 4 1 10
4A1C_2 0.30 0.40 0.24 8 4482 35 13 13 9 12
4A4U_A - 1.00 1.00 1.00 9 96 0 0 0 0 0
4AOB_A 0.31 0.28 0.38 8 1416 13 3 10 0 21
4ENB_A 0.85 0.73 1.00 11 461 0 0 0 0 4
4ENC_A 0.73 0.60 0.90 9 486 1 1 0 0 6

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