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

  1. Overview

  2. Performance Plots

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

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

  5. Compile and download dataset for HotKnots & RNAwolf [.zip] - may take several seconds...


Overview

Metric HotKnots RNAwolf
MCC 0.543 > 0.399
Average MCC ± 95% Confidence Intervals 0.524 ± 0.140 > 0.380 ± 0.128
Sensitivity 0.481 > 0.368
Positive Predictive Value 0.621 > 0.444
Total TP 242 > 185
Total TN 60817 > 60790
Total FP 166 < 253
Total FP CONTRA 19 < 28
Total FP INCONS 129 < 204
Total FP COMP 18 < 21
Total FN 261 < 318
P-value 2.94377603181e-08

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Performance plots


  1. Comparison of performance of HotKnots and RNAwolf. 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 HotKnots and RNAwolf).

  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 HotKnots and RNAwolf).

  3. Comparison of average Matthews Correlation Coefficients (MCCs) for HotKnots and RNAwolf. 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 HotKnots and RNAwolf).

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Performance of HotKnots - scored higher in this pairwise comparison

1. Total counts & total scores for HotKnots

Total Base Pair Counts
Total TP 242
Total TN 60817
Total FP 166
Total FP CONTRA 19
Total FP INCONS 129
Total FP COMP 18
Total FN 261
Total Scores
MCC 0.543
Average MCC ± 95% Confidence Intervals 0.524 ± 0.140
Sensitivity 0.481
Positive Predictive Value 0.621
Nr of predictions 17

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

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
2LC8_A 0.61 0.55 0.69 11 1524 5 0 5 0 9
2LKR_A - 0.93 0.87 1.00 34 6071 3 0 0 3 5
3AMU_B 0.70 0.59 0.84 16 2984 5 0 3 2 11
3J0L_g - -0.01 0.00 0.00 0 460 5 1 4 0 4
3J0L_a - 0.51 0.50 0.53 8 1113 7 3 4 0 8
3J0L_2 - 0.28 0.27 0.29 9 6185 23 3 19 1 24
3J0L_7 - 0.28 0.29 0.29 5 1208 12 0 12 0 12
3J16_L 0.26 0.23 0.30 7 2752 16 1 15 0 23
3RKF_A 0.76 0.59 1.00 20 2191 0 0 0 0 14
3SD1_A 0.64 0.52 0.79 22 3888 6 1 5 0 20
3U4M_B - 0.38 0.32 0.46 12 3134 14 0 14 0 25
3UZL_B 0.48 0.38 0.61 14 3547 9 0 9 0 23
4A1C_2 0.14 0.15 0.14 5 11745 42 6 25 11 28
4A1C_3 0.70 0.59 0.82 32 7101 7 1 6 0 22
4AOB_A 0.50 0.40 0.63 17 4344 11 2 8 1 25
4ENB_A 0.89 0.79 1.00 15 1260 0 0 0 0 4
4ENC_A 0.86 0.79 0.94 15 1310 1 1 0 0 4

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Performance of RNAwolf - scored lower in this pairwise comparison

1. Total counts & total scores for RNAwolf

Total Base Pair Counts
Total TP 185
Total TN 60790
Total FP 253
Total FP CONTRA 28
Total FP INCONS 204
Total FP COMP 21
Total FN 318
Total Scores
MCC 0.399
Average MCC ± 95% Confidence Intervals 0.380 ± 0.128
Sensitivity 0.368
Positive Predictive Value 0.444
Nr of predictions 17

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

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
2LC8_A 0.52 0.50 0.56 10 1522 8 0 8 0 10
2LKR_A - 0.81 0.74 0.88 29 6072 8 0 4 4 10
3AMU_B 0.68 0.63 0.74 17 2980 9 0 6 3 10
3J0L_g - 0.16 0.25 0.11 1 456 8 6 2 0 3
3J0L_a - 0.18 0.19 0.20 3 1113 12 1 11 0 13
3J0L_2 - 0.11 0.12 0.11 4 6181 34 5 26 3 29
3J0L_7 - -0.01 0.00 0.00 0 1214 11 0 11 0 17
3J16_L 0.45 0.40 0.52 12 2752 11 0 11 0 18
3RKF_A 0.72 0.62 0.84 21 2186 4 0 4 0 13
3SD1_A 0.46 0.43 0.50 18 3880 18 0 18 0 24
3U4M_B - 0.44 0.38 0.52 14 3133 13 0 13 0 23
3UZL_B 0.72 0.59 0.88 22 3545 4 1 2 1 15
4A1C_2 0.08 0.09 0.08 3 11741 46 10 27 9 30
4A1C_3 0.23 0.20 0.28 11 7101 28 2 26 0 43
4AOB_A 0.23 0.19 0.30 8 4344 20 1 18 1 34
4ENB_A 0.35 0.32 0.40 6 1260 9 1 8 0 13
4ENC_A 0.34 0.32 0.38 6 1310 10 1 9 0 13

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