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

  1. Overview

  2. Performance Plots

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

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

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


Overview

Metric Pknots RNAwolf
MCC 0.597 > 0.449
Average MCC ± 95% Confidence Intervals 0.610 ± 0.136 > 0.438 ± 0.133
Sensitivity 0.632 > 0.461
Positive Predictive Value 0.574 > 0.451
Total TP 292 > 213
Total TN 35275 < 35312
Total FP 275 < 309
Total FP CONTRA 74 = 74
Total FP INCONS 143 < 185
Total FP COMP 58 > 50
Total FN 170 < 249
P-value 5.19332990918e-08

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Performance plots


  1. Comparison of performance of Pknots and RNAwolf. 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 Pknots and RNAwolf).

  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 Pknots and RNAwolf).

  3. Comparison of average Matthews Correlation Coefficients (MCCs) for Pknots and RNAwolf. 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 Pknots and RNAwolf).

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Performance of Pknots - scored higher in this pairwise comparison

1. Total counts & total scores for Pknots

Total Base Pair Counts
Total TP 292
Total TN 35275
Total FP 275
Total FP CONTRA 74
Total FP INCONS 143
Total FP COMP 58
Total FN 170
Total Scores
MCC 0.597
Average MCC ± 95% Confidence Intervals 0.610 ± 0.136
Sensitivity 0.632
Positive Predictive Value 0.574
Nr of predictions 22

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

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
2LC8_A 0.83 0.83 0.83 15 510 3 2 1 0 3
2M58_A - 0.60 0.58 0.64 7 533 4 1 3 0 5
3J0L_a - 0.35 0.36 0.36 4 400 8 3 4 1 7
3J20_0 0.95 0.95 0.95 20 1198 2 1 0 1 1
3J3D_C 0.46 0.53 0.42 10 944 14 5 9 0 9
3J3E_8 0.10 0.13 0.09 2 2720 33 5 15 13 13
3J3F_8 0.42 0.53 0.33 10 4731 37 10 10 17 9
3RKF_A 0.91 0.88 0.95 21 844 1 0 1 0 3
3SD1_A 0.78 0.76 0.81 22 1506 5 1 4 0 7
3U4M_B - 0.33 0.36 0.32 8 1251 17 4 13 0 14
3W1K_J 0.97 0.97 0.97 30 1647 1 1 0 0 1
3W3S_B 0.78 0.76 0.81 25 1958 7 1 5 1 8
3ZEX_C 0.10 0.14 0.08 4 5322 54 13 35 6 25
4A1C_2 0.33 0.40 0.29 8 4488 36 9 11 16 12
4AOB_A 0.19 0.21 0.21 6 1409 23 3 19 1 23
4ATO_G - 0.36 0.43 0.33 3 211 6 6 0 0 4
4ENB_A 1.00 1.00 1.00 15 457 2 0 0 2 0
4ENC_A 0.97 1.00 0.94 15 480 1 1 0 0 0
4FRG_B 0.55 0.50 0.63 12 1183 7 0 7 0 12
4FRN_A 0.57 0.54 0.63 15 1824 9 3 6 0 13
4JF2_A 0.92 1.00 0.86 24 1054 4 4 0 0 0
4JRC_A - 0.94 0.94 0.94 16 605 1 1 0 0 1

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Performance of RNAwolf - scored lower in this pairwise comparison

1. Total counts & total scores for RNAwolf

Total Base Pair Counts
Total TP 213
Total TN 35312
Total FP 309
Total FP CONTRA 74
Total FP INCONS 185
Total FP COMP 50
Total FN 249
Total Scores
MCC 0.449
Average MCC ± 95% Confidence Intervals 0.438 ± 0.133
Sensitivity 0.461
Positive Predictive Value 0.451
Nr of predictions 22

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

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
2LC8_A 0.52 0.50 0.56 9 512 7 0 7 0 9
2M58_A - 0.60 0.58 0.64 7 533 4 1 3 0 5
3J0L_a - 0.14 0.18 0.14 2 397 13 4 8 1 9
3J20_0 0.54 0.57 0.52 12 1196 12 2 9 1 9
3J3D_C 0.92 0.95 0.90 18 948 3 2 0 1 1
3J3E_8 -0.01 0.00 0.00 0 2719 37 6 17 14 15
3J3F_8 0.28 0.37 0.23 7 4730 39 9 15 15 12
3RKF_A 0.89 0.83 0.95 20 845 1 0 1 0 4
3SD1_A 0.58 0.59 0.59 17 1504 12 2 10 0 12
3U4M_B - 0.50 0.50 0.52 11 1255 12 1 9 2 11
3W1K_J 0.81 0.77 0.86 24 1650 5 0 4 1 7
3W3S_B 0.70 0.70 0.72 23 1957 10 0 9 1 10
3ZEX_C 0.08 0.10 0.07 3 5328 43 18 25 0 26
4A1C_2 0.12 0.15 0.10 3 4487 38 12 14 12 17
4AOB_A 0.26 0.24 0.30 7 1414 17 2 14 1 22
4ATO_G - -0.03 0.00 0.00 0 213 7 4 3 0 7
4ENB_A 0.45 0.40 0.55 6 461 5 1 4 0 9
4ENC_A 0.34 0.33 0.38 5 483 9 0 8 1 10
4FRG_B 0.54 0.50 0.60 12 1182 8 3 5 0 12
4FRN_A -0.01 0.00 0.00 0 1828 20 1 19 0 28
4JF2_A 0.72 0.67 0.80 16 1062 4 4 0 0 8
4JRC_A - 0.71 0.65 0.79 11 608 3 2 1 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.