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

  1. Overview

  2. Performance Plots

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

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

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


Overview

Metric IPknot RSpredict(seed)
MCC 0.701 > 0.231
Average MCC ± 95% Confidence Intervals 0.700 ± 0.158 > 0.170 ± 0.188
Sensitivity 0.658 > 0.123
Positive Predictive Value 0.755 > 0.455
Total TP 160 > 30
Total TN 16008 < 16154
Total FP 73 > 37
Total FP CONTRA 12 > 8
Total FP INCONS 40 > 28
Total FP COMP 21 > 1
Total FN 83 < 213
P-value 1.98760236454e-08

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Performance plots


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

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

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Performance of IPknot - scored higher in this pairwise comparison

1. Total counts & total scores for IPknot

Total Base Pair Counts
Total TP 160
Total TN 16008
Total FP 73
Total FP CONTRA 12
Total FP INCONS 40
Total FP COMP 21
Total FN 83
Total Scores
MCC 0.701
Average MCC ± 95% Confidence Intervals 0.700 ± 0.158
Sensitivity 0.658
Positive Predictive Value 0.755
Nr of predictions 11

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

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
2LC8_A 0.41 0.33 0.55 6 517 5 1 4 0 12
3AMU_B 0.81 0.79 0.83 15 1139 6 0 3 3 4
3J16_L 0.90 0.81 1.00 17 1142 0 0 0 0 4
3RKF_A 0.91 0.83 1.00 20 846 0 0 0 0 4
3SD1_A 0.74 0.69 0.80 20 1508 5 0 5 0 9
3UZL_B 0.93 0.88 1.00 14 1279 7 0 0 7 2
4A1C_3 0.83 0.81 0.86 30 2728 7 0 5 2 7
4A1C_2 0.23 0.25 0.22 5 4493 26 8 10 8 15
4AOB_A 0.50 0.48 0.54 14 1411 13 3 9 1 15
4ENB_A 0.85 0.73 1.00 11 461 0 0 0 0 4
4ENC_A 0.59 0.53 0.67 8 484 4 0 4 0 7

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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 30
Total TN 16154
Total FP 37
Total FP CONTRA 8
Total FP INCONS 28
Total FP COMP 1
Total FN 213
Total Scores
MCC 0.231
Average MCC ± 95% Confidence Intervals 0.170 ± 0.188
Sensitivity 0.123
Positive Predictive Value 0.455
Nr of predictions 11

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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
3AMU_B -0.01 0.00 0.00 0 1155 2 0 2 0 19
3J16_L 0.00 0.00 0.00 0 1158 1 0 1 0 21
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
3UZL_B -0.01 0.00 0.00 0 1287 6 3 3 0 16
4A1C_3 0.00 0.00 0.00 0 2759 4 2 2 0 37
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

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