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

  1. Overview

  2. Performance Plots

  3. Performance of Carnac(20) - scored higher in this pairwise comparison

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

  5. Compile and download dataset for Carnac(20) & RSpredict(seed) [.zip] - may take several seconds...


Overview

Metric Carnac(20) RSpredict(seed)
MCC 0.662 > 0.350
Average MCC ± 95% Confidence Intervals 0.610 ± 0.164 > 0.300 ± 0.175
Sensitivity 0.469 > 0.181
Positive Predictive Value 0.938 > 0.689
Total TP 213 > 82
Total TN 52036 < 52144
Total FP 24 < 40
Total FP CONTRA 6 = 6
Total FP INCONS 8 < 31
Total FP COMP 10 > 3
Total FN 241 < 372
P-value 2.32677072069e-08

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Performance plots


  1. Comparison of performance of Carnac(20) 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 Carnac(20) 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 Carnac(20) and RSpredict(seed)).

  3. Comparison of average Matthews Correlation Coefficients (MCCs) for Carnac(20) 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 Carnac(20) and RSpredict(seed)).

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Performance of Carnac(20) - scored higher in this pairwise comparison

1. Total counts & total scores for Carnac(20)

Total Base Pair Counts
Total TP 213
Total TN 52036
Total FP 24
Total FP CONTRA 6
Total FP INCONS 8
Total FP COMP 10
Total FN 241
Total Scores
MCC 0.662
Average MCC ± 95% Confidence Intervals 0.610 ± 0.164
Sensitivity 0.469
Positive Predictive Value 0.938
Nr of predictions 15

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2. Individual counts for Carnac(20) [ download as .csv ]

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
3A2K_C 0.88 0.77 1.00 17 1091 0 0 0 0 5
3GX2_A 0.68 0.46 1.00 13 1436 0 0 0 0 15
3IVN_B 0.91 0.83 1.00 19 884 0 0 0 0 4
3IZ4_A 0.52 0.31 0.88 29 25503 4 3 1 0 66
3JYV_7 0.81 0.70 0.93 14 1096 3 0 1 2 6
3LA5_A 0.91 0.84 1.00 21 933 0 0 0 0 4
3NPB_A 0.46 0.22 1.00 8 2270 3 0 0 3 29
3O58_3 0.60 0.36 1.00 8 4756 1 0 0 1 14
3PDR_A 0.75 0.58 0.97 29 4810 3 1 0 2 21
3RKF_A 0.91 0.83 1.00 20 846 0 0 0 0 4
3SD1_A 0.72 0.55 0.94 16 1516 1 0 1 0 13
4A1C_2 0.42 0.25 0.71 5 4509 3 0 2 1 15
4AOB_A 0.59 0.48 0.74 14 1418 6 2 3 1 15
4ENB_A 0.00 0.00 0.00 0 472 0 0 0 0 15
4ENC_A 0.00 0.00 0.00 0 496 0 0 0 0 15

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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 82
Total TN 52144
Total FP 40
Total FP CONTRA 6
Total FP INCONS 31
Total FP COMP 3
Total FN 372
Total Scores
MCC 0.350
Average MCC ± 95% Confidence Intervals 0.300 ± 0.175
Sensitivity 0.181
Positive Predictive Value 0.689
Nr of predictions 15

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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
3A2K_C -0.01 0.00 0.00 0 1106 2 0 2 0 22
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
3IZ4_A 0.26 0.11 0.63 10 25520 7 2 4 1 85
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
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.