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

  1. Overview

  2. Performance Plots

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

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

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


Overview

Metric Murlet(20) RNASLOpt
MCC 0.564 > 0.463
Average MCC ± 95% Confidence Intervals 0.540 ± 0.100 > 0.490 ± 0.131
Sensitivity 0.418 > 0.383
Positive Predictive Value 0.765 > 0.567
Total TP 287 > 263
Total TN 110820 > 110731
Total FP 109 < 248
Total FP CONTRA 5 < 21
Total FP INCONS 83 < 180
Total FP COMP 21 < 47
Total FN 400 < 424
P-value 1.64481516727e-08

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Performance plots


  1. Comparison of performance of Murlet(20) and RNASLOpt. 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 Murlet(20) and RNASLOpt).

  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 Murlet(20) and RNASLOpt).

  3. Comparison of average Matthews Correlation Coefficients (MCCs) for Murlet(20) and RNASLOpt. 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 Murlet(20) and RNASLOpt).

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

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

Total Base Pair Counts
Total TP 287
Total TN 110820
Total FP 109
Total FP CONTRA 5
Total FP INCONS 83
Total FP COMP 21
Total FN 400
Total Scores
MCC 0.564
Average MCC ± 95% Confidence Intervals 0.540 ± 0.100
Sensitivity 0.418
Positive Predictive Value 0.765
Nr of predictions 18

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

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
3J20_1 0.68 0.57 0.81 13 2910 3 0 3 0 10
3J20_0 0.58 0.47 0.74 14 2831 5 0 5 0 16
3J2L_3 0.69 0.49 0.96 26 7848 3 0 1 2 27
3J3D_C 0.78 0.64 0.95 18 2756 1 0 1 0 10
3J3E_8 0.24 0.15 0.38 5 7490 13 1 7 5 28
3J3E_7 0.77 0.63 0.94 34 7104 2 0 2 0 20
3J3F_7 0.69 0.50 0.96 25 7234 1 0 1 0 25
3J3F_8 0.48 0.36 0.65 13 12226 10 0 7 3 23
3J3V_B 0.63 0.40 1.00 23 6998 0 0 0 0 34
3ZEX_D 0.77 0.65 0.91 32 6986 3 0 3 0 17
3ZEX_C 0.34 0.23 0.50 12 14172 15 1 11 3 40
3ZND_W 0.45 0.39 0.53 9 2986 11 0 8 3 14
4A1C_2 0.17 0.15 0.20 5 11756 24 2 18 4 28
4A1C_3 0.59 0.41 0.85 22 7114 4 0 4 0 32
4AOB_A 0.72 0.55 0.96 23 4347 2 0 1 1 19
4ENB_A 0.46 0.21 1.00 4 1271 0 0 0 0 15
4ENC_A 0.51 0.26 1.00 5 1321 0 0 0 0 14
4FRG_B 0.17 0.13 0.25 4 3470 12 1 11 0 28

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Performance of RNASLOpt - scored lower in this pairwise comparison

1. Total counts & total scores for RNASLOpt

Total Base Pair Counts
Total TP 263
Total TN 110731
Total FP 248
Total FP CONTRA 21
Total FP INCONS 180
Total FP COMP 47
Total FN 424
Total Scores
MCC 0.463
Average MCC ± 95% Confidence Intervals 0.490 ± 0.131
Sensitivity 0.383
Positive Predictive Value 0.567
Nr of predictions 18

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

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
3J20_1 0.96 0.91 1.00 21 2905 0 0 0 0 2
3J20_0 0.66 0.57 0.77 17 2828 6 1 4 1 13
3J2L_3 0.56 0.43 0.72 23 7843 11 0 9 2 30
3J3D_C 0.82 0.71 0.95 20 2754 1 0 1 0 8
3J3E_8 0.00 0.00 0.00 0 7483 30 1 19 10 33
3J3E_7 0.48 0.35 0.66 19 7111 10 0 10 0 35
3J3F_7 0.18 0.16 0.22 8 7224 28 1 27 0 42
3J3F_8 0.34 0.33 0.35 12 12212 35 3 19 13 24
3J3V_B 0.46 0.33 0.63 19 6991 11 0 11 0 38
3ZEX_D 0.76 0.59 0.97 29 6991 1 0 1 0 20
3ZEX_C 0.26 0.21 0.33 11 14163 35 2 20 13 41
3ZND_W 0.21 0.22 0.22 5 2980 20 1 17 2 18
4A1C_2 0.23 0.24 0.22 8 11744 35 8 21 6 25
4A1C_3 0.67 0.52 0.88 28 7108 4 0 4 0 26
4AOB_A 0.26 0.19 0.38 8 4350 13 2 11 0 34
4ENB_A 0.76 0.58 1.00 11 1264 0 0 0 0 8
4ENC_A 0.65 0.47 0.90 9 1316 1 1 0 0 10
4FRG_B 0.56 0.47 0.68 15 3464 7 1 6 0 17

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