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

  1. Overview

  2. Performance Plots

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

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

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


Overview

Metric RNASampler(seed) RNAsubopt
MCC 0.482 > 0.454
Average MCC ± 95% Confidence Intervals 0.494 ± 0.152 > 0.487 ± 0.187
Sensitivity 0.342 < 0.419
Positive Predictive Value 0.684 > 0.499
Total TP 160 < 196
Total TN 91818 > 91659
Total FP 107 < 258
Total FP CONTRA 8 < 31
Total FP INCONS 66 < 166
Total FP COMP 33 < 61
Total FN 308 > 272
P-value 2.41358941668e-08

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Performance plots


  1. Comparison of performance of RNASampler(seed) and RNAsubopt. 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 RNASampler(seed) and RNAsubopt).

  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 RNASampler(seed) and RNAsubopt).

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

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

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

Total Base Pair Counts
Total TP 160
Total TN 91818
Total FP 107
Total FP CONTRA 8
Total FP INCONS 66
Total FP COMP 33
Total FN 308
Total Scores
MCC 0.482
Average MCC ± 95% Confidence Intervals 0.494 ± 0.152
Sensitivity 0.342
Positive Predictive Value 0.684
Nr of predictions 14

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

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
2KDQ_B 0.95 0.91 1.00 10 396 0 0 0 0 1
2LC8_A -0.01 0.00 0.00 0 1530 10 0 10 0 20
3A3A_A 0.70 0.49 1.00 18 3637 0 0 0 0 19
3IVN_B 0.78 0.61 1.00 19 2327 0 0 0 0 12
3J3E_8 0.12 0.09 0.17 3 7485 22 2 13 7 30
3J3F_8 0.44 0.33 0.57 12 12225 15 1 8 6 24
3JYX_4 0.39 0.30 0.50 10 12226 13 2 8 3 23
3O58_3 0.45 0.34 0.60 12 12383 12 2 6 4 23
3RKF_A 0.76 0.59 1.00 20 2191 0 0 0 0 14
3SD1_A 0.60 0.38 0.94 16 3899 1 0 1 0 26
3W3S_B 0.55 0.30 1.00 12 4741 1 0 0 1 28
3ZEX_C 0.32 0.19 0.53 10 14177 13 1 8 4 42
4A1C_2 0.31 0.24 0.40 8 11761 20 0 12 8 25
4JF2_A 0.57 0.32 1.00 10 2840 0 0 0 0 21

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Performance of RNAsubopt - scored lower in this pairwise comparison

1. Total counts & total scores for RNAsubopt

Total Base Pair Counts
Total TP 196
Total TN 91659
Total FP 258
Total FP CONTRA 31
Total FP INCONS 166
Total FP COMP 61
Total FN 272
Total Scores
MCC 0.454
Average MCC ± 95% Confidence Intervals 0.487 ± 0.187
Sensitivity 0.419
Positive Predictive Value 0.499
Nr of predictions 14

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

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
2KDQ_B 0.95 0.91 1.00 10 396 0 0 0 0 1
2LC8_A -0.01 0.00 0.00 0 1525 15 2 13 0 20
3A3A_A 0.87 0.76 1.00 28 3627 0 0 0 0 9
3IVN_B 0.76 0.58 1.00 18 2328 0 0 0 0 13
3J3E_8 0.16 0.15 0.18 5 7475 32 2 21 9 28
3J3F_8 0.33 0.33 0.32 12 12209 39 4 21 14 24
3JYX_4 0.19 0.21 0.17 7 12204 38 11 24 3 26
3O58_3 0.34 0.34 0.34 12 12368 34 2 21 11 23
3RKF_A 0.76 0.59 1.00 20 2191 0 0 0 0 14
3SD1_A 0.61 0.50 0.75 21 3888 7 1 6 0 21
3W3S_B 0.87 0.78 0.97 31 4721 2 0 1 1 9
3ZEX_C 0.24 0.21 0.28 11 14157 42 1 27 14 41
4A1C_2 0.14 0.15 0.13 5 11742 43 5 29 9 28
4JF2_A 0.61 0.52 0.73 16 2828 6 3 3 0 15

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