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

  1. Overview

  2. Performance Plots

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

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

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


Overview

Metric Pknots RNAwolf
MCC 0.471 > 0.399
Average MCC ± 95% Confidence Intervals 0.482 ± 0.145 > 0.380 ± 0.128
Sensitivity 0.421 > 0.368
Positive Predictive Value 0.535 > 0.444
Total TP 212 > 185
Total TN 60811 > 60790
Total FP 202 < 253
Total FP CONTRA 18 < 28
Total FP INCONS 166 < 204
Total FP COMP 18 < 21
Total FN 291 < 318
P-value 3.13260312532e-08

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Performance plots


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

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

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Performance of Pknots - scored higher in this pairwise comparison

1. Total counts & total scores for Pknots

Total Base Pair Counts
Total TP 212
Total TN 60811
Total FP 202
Total FP CONTRA 18
Total FP INCONS 166
Total FP COMP 18
Total FN 291
Total Scores
MCC 0.471
Average MCC ± 95% Confidence Intervals 0.482 ± 0.145
Sensitivity 0.421
Positive Predictive Value 0.535
Nr of predictions 17

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

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
2LC8_A 0.79 0.75 0.83 15 1522 3 1 2 0 5
2LKR_A - 0.44 0.44 0.45 17 6067 22 4 17 1 22
3AMU_B 0.86 0.74 1.00 20 2983 2 0 0 2 7
3J0L_g - -0.01 0.00 0.00 0 460 5 2 3 0 4
3J0L_a - 0.35 0.31 0.42 5 1116 7 1 6 0 11
3J0L_2 - 0.36 0.36 0.36 12 6183 23 3 18 2 21
3J0L_7 - 0.28 0.29 0.29 5 1208 12 0 12 0 12
3J16_L 0.34 0.30 0.41 9 2753 13 0 13 0 21
3RKF_A 0.77 0.62 0.95 21 2189 1 0 1 0 13
3SD1_A 0.65 0.52 0.81 22 3889 5 0 5 0 20
3U4M_B - 0.26 0.22 0.32 8 3135 17 0 17 0 29
3UZL_B 0.75 0.59 0.96 22 3547 1 0 1 0 15
4A1C_2 0.24 0.24 0.25 8 11749 36 3 21 12 25
4A1C_3 0.25 0.22 0.29 12 7099 29 1 28 0 42
4AOB_A 0.17 0.14 0.21 6 4343 23 1 21 1 36
4ENB_A 0.83 0.79 0.88 15 1258 2 1 1 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.