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 RNASLOpt - scored lower in this pairwise comparison

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


Overview

Metric Multilign(20) RNASLOpt
MCC 0.514 > 0.481
Average MCC ± 95% Confidence Intervals 0.503 ± 0.141 < 0.506 ± 0.146
Sensitivity 0.433 > 0.403
Positive Predictive Value 0.617 > 0.581
Total TP 250 > 233
Total TN 89573 < 89577
Total FP 177 < 202
Total FP CONTRA 17 < 19
Total FP INCONS 138 < 149
Total FP COMP 22 < 34
Total FN 328 < 345
P-value 2.61939086268e-08

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Performance plots


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

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

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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 250
Total TN 89573
Total FP 177
Total FP CONTRA 17
Total FP INCONS 138
Total FP COMP 22
Total FN 328
Total Scores
MCC 0.514
Average MCC ± 95% Confidence Intervals 0.503 ± 0.141
Sensitivity 0.433
Positive Predictive Value 0.617
Nr of predictions 16

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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
3J20_1 0.96 0.91 1.00 21 2905 0 0 0 0 2
3J20_0 0.61 0.53 0.70 16 2827 8 1 6 1 14
3J2L_3 0.65 0.53 0.80 28 7840 9 0 7 2 25
3J3D_C 0.82 0.71 0.95 20 2754 1 0 1 0 8
3J3E_7 0.58 0.48 0.70 26 7103 11 0 11 0 28
3J3E_8 0.00 0.00 0.00 0 7481 22 6 16 0 33
3J3F_8 0.41 0.36 0.46 13 12218 27 1 14 12 23
3J3F_7 0.43 0.30 0.63 15 7236 9 0 9 0 35
3ZEX_D 0.75 0.65 0.86 32 6984 5 1 4 0 17
3ZND_W 0.41 0.39 0.43 9 2982 14 2 10 2 14
4A1C_2 0.15 0.15 0.15 5 11747 33 3 26 4 28
4A1C_3 0.70 0.59 0.84 32 7102 6 0 6 0 22
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 RNASLOpt - scored lower in this pairwise comparison

1. Total counts & total scores for RNASLOpt

Total Base Pair Counts
Total TP 233
Total TN 89577
Total FP 202
Total FP CONTRA 19
Total FP INCONS 149
Total FP COMP 34
Total FN 345
Total Scores
MCC 0.481
Average MCC ± 95% Confidence Intervals 0.506 ± 0.146
Sensitivity 0.403
Positive Predictive Value 0.581
Nr of predictions 16

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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_7 0.48 0.35 0.66 19 7111 10 0 10 0 35
3J3E_8 0.00 0.00 0.00 0 7483 30 1 19 10 33
3J3F_8 0.34 0.33 0.35 12 12212 35 3 19 13 24
3J3F_7 0.18 0.16 0.22 8 7224 28 1 27 0 42
3ZEX_D 0.76 0.59 0.97 29 6991 1 0 1 0 20
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.