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

  1. Overview

  2. Performance Plots

  3. Performance of CentroidAlifold(seed) - scored higher in this pairwise comparison

  4. Performance of RNASampler(20) - scored lower in this pairwise comparison

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


Overview

Metric CentroidAlifold(seed) RNASampler(20)
MCC 0.761 > 0.732
Average MCC ± 95% Confidence Intervals 0.755 ± 0.084 < 0.763 ± 0.114
Sensitivity 0.623 < 0.639
Positive Predictive Value 0.934 > 0.843
Total TP 283 < 290
Total TN 51960 > 51919
Total FP 38 < 93
Total FP CONTRA 17 < 24
Total FP INCONS 3 < 30
Total FP COMP 18 < 39
Total FN 171 > 164
P-value 1.93248927742e-08

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Performance plots


  1. Comparison of performance of CentroidAlifold(seed) and RNASampler(20). 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 CentroidAlifold(seed) and RNASampler(20)).

  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 CentroidAlifold(seed) and RNASampler(20)).

  3. Comparison of average Matthews Correlation Coefficients (MCCs) for CentroidAlifold(seed) and RNASampler(20). 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 CentroidAlifold(seed) and RNASampler(20)).

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Performance of CentroidAlifold(seed) - scored higher in this pairwise comparison

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

Total Base Pair Counts
Total TP 283
Total TN 51960
Total FP 38
Total FP CONTRA 17
Total FP INCONS 3
Total FP COMP 18
Total FN 171
Total Scores
MCC 0.761
Average MCC ± 95% Confidence Intervals 0.755 ± 0.084
Sensitivity 0.623
Positive Predictive Value 0.934
Nr of predictions 15

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

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
3A2K_C 0.52 0.27 1.00 6 1102 0 0 0 0 16
3GX2_A 0.92 0.86 1.00 24 1425 1 0 0 1 4
3IVN_B 0.86 0.83 0.90 19 882 2 2 0 0 4
3IZ4_A 0.58 0.43 0.77 41 25483 17 12 0 5 54
3JYV_7 0.50 0.25 1.00 5 1106 1 0 0 1 15
3LA5_A 0.87 0.80 0.95 20 933 1 1 0 0 5
3NPB_A 0.79 0.65 0.96 24 2253 5 0 1 4 13
3O58_3 0.68 0.50 0.92 11 4752 2 1 0 1 11
3PDR_A 0.93 0.88 0.98 44 4795 3 0 1 2 6
3RKF_A 0.91 0.83 1.00 20 846 0 0 0 0 4
3SD1_A 0.85 0.76 0.96 22 1510 1 0 1 0 7
4A1C_2 0.60 0.40 0.89 8 4507 3 1 0 2 12
4AOB_A 0.89 0.79 1.00 23 1414 2 0 0 2 6
4ENB_A 0.72 0.53 1.00 8 464 0 0 0 0 7
4ENC_A 0.73 0.53 1.00 8 488 0 0 0 0 7

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Performance of RNASampler(20) - scored lower in this pairwise comparison

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

Total Base Pair Counts
Total TP 290
Total TN 51919
Total FP 93
Total FP CONTRA 24
Total FP INCONS 30
Total FP COMP 39
Total FN 164
Total Scores
MCC 0.732
Average MCC ± 95% Confidence Intervals 0.763 ± 0.114
Sensitivity 0.639
Positive Predictive Value 0.843
Nr of predictions 15

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

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
3A2K_C 0.98 0.95 1.00 21 1087 0 0 0 0 1
3GX2_A 0.88 0.79 1.00 22 1427 1 0 0 1 6
3IVN_B 0.91 0.83 1.00 19 884 0 0 0 0 4
3IZ4_A 0.52 0.41 0.65 39 25476 26 15 6 5 56
3JYV_7 0.97 0.95 1.00 19 1092 2 0 0 2 1
3LA5_A 0.89 0.80 1.00 20 934 0 0 0 0 5
3NPB_A 0.75 0.57 1.00 21 2257 5 0 0 5 16
3O58_3 0.51 0.50 0.52 11 4743 19 5 5 9 11
3PDR_A 0.84 0.76 0.93 38 4799 5 1 2 2 12
3RKF_A 0.91 0.83 1.00 20 846 0 0 0 0 4
3SD1_A 0.81 0.69 0.95 20 1512 1 0 1 0 9
4A1C_2 0.24 0.25 0.24 5 4495 30 3 13 14 15
4AOB_A 0.70 0.59 0.85 17 1417 4 0 3 1 12
4ENB_A 0.68 0.47 1.00 7 465 0 0 0 0 8
4ENC_A 0.85 0.73 1.00 11 485 0 0 0 0 4

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