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

  1. Overview

  2. Performance Plots

  3. Performance of Multilign(20) - scored higher in this pairwise comparison

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

  5. Compile and download dataset for Multilign(20) & Pknots [.zip] - may take several seconds...


Overview

Metric Multilign(20) Pknots
MCC 0.561 > 0.532
Average MCC ± 95% Confidence Intervals 0.556 ± 0.161 < 0.602 ± 0.158
Sensitivity 0.466 < 0.468
Positive Predictive Value 0.682 > 0.612
Total TP 242 < 243
Total TN 64967 > 64925
Total FP 123 < 173
Total FP CONTRA 10 > 8
Total FP INCONS 103 < 146
Total FP COMP 10 < 19
Total FN 277 > 276
P-value 2.39442331656e-08

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Performance plots


  1. Comparison of performance of Multilign(20) and Pknots. 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 Multilign(20) and Pknots).

  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 Multilign(20) and Pknots).

  3. Comparison of average Matthews Correlation Coefficients (MCCs) for Multilign(20) and Pknots. 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 Multilign(20) and Pknots).

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Performance of Multilign(20) - scored higher in this pairwise comparison

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

Total Base Pair Counts
Total TP 242
Total TN 64967
Total FP 123
Total FP CONTRA 10
Total FP INCONS 103
Total FP COMP 10
Total FN 277
Total Scores
MCC 0.561
Average MCC ± 95% Confidence Intervals 0.556 ± 0.161
Sensitivity 0.466
Positive Predictive Value 0.682
Nr of predictions 15

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

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
2L94_A 0.97 0.95 1.00 19 971 0 0 0 0 1
2XXA_G 0.00 0.00 0.00 0 5139 12 1 11 0 42
3AMU_B 0.63 0.56 0.71 15 2982 8 0 6 2 12
3J20_0 0.61 0.53 0.70 16 2827 8 1 6 1 14
3J20_1 0.96 0.91 1.00 21 2905 0 0 0 0 2
3J2L_3 0.65 0.53 0.80 28 7840 9 0 7 2 25
3RKF_A 0.77 0.62 0.95 21 2189 1 0 1 0 13
3SD1_A 0.57 0.48 0.69 20 3887 9 1 8 0 22
3ZEX_D 0.75 0.65 0.86 32 6984 5 1 4 0 17
4A1C_3 0.70 0.59 0.84 32 7102 6 0 6 0 22
4A1C_2 0.15 0.15 0.15 5 11747 33 3 26 4 28
4AOB_A 0.49 0.38 0.64 16 4346 10 1 8 1 26
4ENB_A 0.34 0.26 0.45 5 1264 6 1 5 0 14
4ENC_A 0.65 0.47 0.90 9 1316 1 1 0 0 10
4FRG_B 0.12 0.09 0.17 3 3468 15 0 15 0 29

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Performance of Pknots - scored lower in this pairwise comparison

1. Total counts & total scores for Pknots

Total Base Pair Counts
Total TP 243
Total TN 64925
Total FP 173
Total FP CONTRA 8
Total FP INCONS 146
Total FP COMP 19
Total FN 276
Total Scores
MCC 0.532
Average MCC ± 95% Confidence Intervals 0.602 ± 0.158
Sensitivity 0.468
Positive Predictive Value 0.612
Nr of predictions 15

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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
2L94_A 0.92 0.90 0.95 18 971 1 0 1 0 2
2XXA_G 0.32 0.31 0.34 13 5113 25 1 24 0 29
3AMU_B 0.86 0.74 1.00 20 2983 2 0 0 2 7
3J20_0 0.84 0.70 1.00 21 2829 1 0 0 1 9
3J20_1 0.96 0.91 1.00 21 2905 0 0 0 0 2
3J2L_3 0.62 0.51 0.75 27 7839 12 0 9 3 26
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
3ZEX_D 0.27 0.24 0.30 12 6981 28 0 28 0 37
4A1C_3 0.25 0.22 0.29 12 7099 29 1 28 0 42
4A1C_2 0.24 0.24 0.25 8 11749 36 3 21 12 25
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
4FRG_B 0.48 0.38 0.63 12 3467 7 0 7 0 20

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