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

  1. Overview

  2. Performance Plots

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

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

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


Overview

Metric RNASampler(20) RNASLOpt
MCC 0.561 > 0.463
Average MCC ± 95% Confidence Intervals 0.569 ± 0.113 > 0.490 ± 0.131
Sensitivity 0.429 > 0.383
Positive Predictive Value 0.738 > 0.567
Total TP 295 > 263
Total TN 110795 > 110731
Total FP 139 < 248
Total FP CONTRA 7 < 21
Total FP INCONS 98 < 180
Total FP COMP 34 < 47
Total FN 392 < 424
P-value 2.34821445183e-08

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Performance plots


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

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

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

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

Total Base Pair Counts
Total TP 295
Total TN 110795
Total FP 139
Total FP CONTRA 7
Total FP INCONS 98
Total FP COMP 34
Total FN 392
Total Scores
MCC 0.561
Average MCC ± 95% Confidence Intervals 0.569 ± 0.113
Sensitivity 0.429
Positive Predictive Value 0.738
Nr of predictions 18

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2. Individual counts for RNASampler(20) [ 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 0.80 0.67 0.95 20 2829 2 0 1 1 10
3J2L_3 0.45 0.32 0.63 17 7848 12 1 9 2 36
3J3D_C 0.82 0.71 0.95 20 2754 1 0 1 0 8
3J3E_8 0.12 0.09 0.18 3 7486 21 2 12 7 30
3J3E_7 0.62 0.48 0.81 26 7108 6 0 6 0 28
3J3F_7 0.66 0.52 0.84 26 7229 5 0 5 0 24
3J3F_8 0.39 0.33 0.46 12 12220 17 1 13 3 24
3J3V_B 0.63 0.42 0.96 24 6996 1 0 1 0 33
3ZEX_D 0.68 0.49 0.96 24 6996 1 0 1 0 25
3ZEX_C 0.27 0.19 0.38 10 14170 20 1 15 4 42
3ZND_W 0.41 0.39 0.43 9 2982 15 2 10 3 14
4A1C_2 0.18 0.15 0.23 5 11759 30 0 17 13 28
4A1C_3 0.74 0.56 1.00 30 7110 0 0 0 0 24
4AOB_A 0.58 0.40 0.85 17 4351 4 0 3 1 25
4ENB_A 0.60 0.37 1.00 7 1268 0 0 0 0 12
4ENC_A 0.76 0.58 1.00 11 1315 0 0 0 0 8
4FRG_B 0.55 0.41 0.76 13 3469 4 0 4 0 19

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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.