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

  1. Overview

  2. Performance Plots

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

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

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


Overview

Metric ProbKnot RNAwolf
MCC 0.495 > 0.399
Average MCC ± 95% Confidence Intervals 0.449 ± 0.147 > 0.380 ± 0.128
Sensitivity 0.443 > 0.368
Positive Predictive Value 0.560 > 0.444
Total TP 223 > 185
Total TN 60809 > 60790
Total FP 195 < 253
Total FP CONTRA 25 < 28
Total FP INCONS 150 < 204
Total FP COMP 20 < 21
Total FN 280 < 318
P-value 2.76499031155e-08

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Performance plots


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

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

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Performance of ProbKnot - scored higher in this pairwise comparison

1. Total counts & total scores for ProbKnot

Total Base Pair Counts
Total TP 223
Total TN 60809
Total FP 195
Total FP CONTRA 25
Total FP INCONS 150
Total FP COMP 20
Total FN 280
Total Scores
MCC 0.495
Average MCC ± 95% Confidence Intervals 0.449 ± 0.147
Sensitivity 0.443
Positive Predictive Value 0.560
Nr of predictions 17

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

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
2LC8_A -0.01 0.00 0.00 0 1525 15 2 13 0 20
2LKR_A - 0.85 0.77 0.94 30 6073 4 0 2 2 9
3AMU_B 0.65 0.59 0.73 16 2981 8 0 6 2 11
3J0L_g - -0.01 0.00 0.00 0 458 7 2 5 0 4
3J0L_a - 0.55 0.50 0.62 8 1115 5 2 3 0 8
3J0L_2 - 0.27 0.27 0.28 9 6184 26 2 21 3 24
3J0L_7 - -0.01 0.00 0.00 0 1212 13 0 13 0 17
3J16_L 0.35 0.33 0.38 10 2749 16 1 15 0 20
3RKF_A 0.73 0.59 0.91 20 2189 2 1 1 0 14
3SD1_A 0.55 0.48 0.65 20 3885 11 2 9 0 22
3U4M_B - 0.45 0.35 0.59 13 3138 9 1 8 0 24
3UZL_B 0.73 0.62 0.85 23 3543 4 0 4 0 14
4A1C_2 0.13 0.15 0.12 5 11738 49 7 31 11 28
4A1C_3 0.73 0.61 0.87 33 7102 6 1 4 1 21
4AOB_A 0.50 0.40 0.63 17 4344 11 2 8 1 25
4ENB_A 0.73 0.58 0.92 11 1263 1 1 0 0 8
4ENC_A 0.45 0.42 0.50 8 1310 8 1 7 0 11

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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.