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 RSpredict(seed) - scored lower in this pairwise comparison

  5. Compile and download dataset for Pknots & RSpredict(seed) [.zip] - may take several seconds...


Overview

Metric Pknots RSpredict(seed)
MCC 0.659 > 0.307
Average MCC ± 95% Confidence Intervals 0.683 ± 0.116 > 0.237 ± 0.114
Sensitivity 0.690 > 0.170
Positive Predictive Value 0.638 > 0.573
Total TP 464 > 114
Total TN 51875 < 52403
Total FP 337 > 89
Total FP CONTRA 89 > 12
Total FP INCONS 174 > 73
Total FP COMP 74 > 4
Total FN 208 < 558
P-value 5.19332990918e-08

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Performance plots


  1. Comparison of performance of Pknots and RSpredict(seed). 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 RSpredict(seed)).

  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 RSpredict(seed)).

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

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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 464
Total TN 51875
Total FP 337
Total FP CONTRA 89
Total FP INCONS 174
Total FP COMP 74
Total FN 208
Total Scores
MCC 0.659
Average MCC ± 95% Confidence Intervals 0.683 ± 0.116
Sensitivity 0.690
Positive Predictive Value 0.638
Nr of predictions 27

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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
2ZZN_D 0.95 0.95 0.95 21 962 1 1 0 0 1
3A2K_C 0.50 0.55 0.48 12 1083 13 3 10 0 10
3A3A_A 0.97 0.93 1.00 28 1472 0 0 0 0 2
3GX2_A 0.55 0.57 0.55 16 1420 14 4 9 1 12
3IVN_B 0.91 0.87 0.95 20 882 1 0 1 0 3
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
3JYV_7 0.97 0.95 1.00 19 1092 2 0 0 2 1
3LA5_A 0.94 0.88 1.00 22 932 0 0 0 0 3
3NPB_A 0.84 0.81 0.88 30 2244 9 0 4 5 7
3O58_3 0.32 0.45 0.24 10 4722 39 18 14 7 12
3PDR_A 0.64 0.64 0.65 32 4791 19 4 13 2 18
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
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
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

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Performance of RSpredict(seed) - scored lower in this pairwise comparison

1. Total counts & total scores for RSpredict(seed)

Total Base Pair Counts
Total TP 114
Total TN 52403
Total FP 89
Total FP CONTRA 12
Total FP INCONS 73
Total FP COMP 4
Total FN 558
Total Scores
MCC 0.307
Average MCC ± 95% Confidence Intervals 0.237 ± 0.114
Sensitivity 0.170
Positive Predictive Value 0.573
Nr of predictions 27

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2. Individual counts for RSpredict(seed) [ download as .csv ]

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
2LC8_A -0.03 0.00 0.00 0 515 13 0 13 0 18
2ZZN_D 0.38 0.18 0.80 4 979 1 1 0 0 18
3A2K_C -0.01 0.00 0.00 0 1106 2 0 2 0 22
3A3A_A 0.53 0.37 0.79 11 1486 3 0 3 0 19
3GX2_A 0.42 0.21 0.86 6 1442 1 0 1 0 22
3IVN_B 0.81 0.70 0.94 16 886 1 1 0 0 7
3J20_0 -0.01 0.00 0.00 0 1215 4 0 4 0 21
3J3D_C -0.01 0.00 0.00 0 964 4 1 3 0 19
3J3E_8 0.00 0.00 0.00 0 2742 0 0 0 0 15
3J3F_8 0.19 0.11 0.33 2 4755 5 3 1 1 17
3JYV_7 -0.01 0.00 0.00 0 1108 4 0 3 1 20
3LA5_A 0.82 0.68 1.00 17 937 0 0 0 0 8
3NPB_A -0.01 0.00 0.00 0 2274 4 0 4 0 37
3O58_3 0.28 0.14 0.60 3 4759 2 0 2 0 19
3PDR_A 0.00 0.00 0.00 0 4832 8 0 8 0 50
3RKF_A 0.84 0.75 0.95 18 847 1 1 0 0 6
3SD1_A 0.00 0.00 0.00 0 1533 0 0 0 0 29
3W1K_J 0.57 0.35 0.92 11 1666 1 0 1 0 20
3W3S_B 0.45 0.36 0.57 12 1968 10 1 8 1 21
3ZEX_C 0.13 0.07 0.25 2 5366 6 2 4 0 27
4A1C_2 0.00 0.00 0.00 0 4512 5 2 2 1 20
4AOB_A 0.42 0.21 0.86 6 1430 1 0 1 0 23
4ENB_A 0.34 0.20 0.60 3 467 2 0 2 0 12
4ENC_A 0.34 0.20 0.60 3 491 2 0 2 0 12
4FRG_B -0.01 0.00 0.00 0 1200 2 0 2 0 24
4FRN_A 0.00 0.00 0.00 0 1845 3 0 3 0 28
4JF2_A -0.01 0.00 0.00 0 1078 4 0 4 0 24

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