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

  1. Overview

  2. Performance Plots

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

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

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


Overview

Metric RNAalifold(20) RNASLOpt
MCC 0.629 > 0.463
Average MCC ± 95% Confidence Intervals 0.616 ± 0.106 > 0.490 ± 0.131
Sensitivity 0.488 > 0.383
Positive Predictive Value 0.815 > 0.567
Total TP 335 > 263
Total TN 110784 > 110731
Total FP 93 < 248
Total FP CONTRA 6 < 21
Total FP INCONS 70 < 180
Total FP COMP 17 < 47
Total FN 352 < 424
P-value 3.21671975982e-08

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Performance plots


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

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

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

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

Total Base Pair Counts
Total TP 335
Total TN 110784
Total FP 93
Total FP CONTRA 6
Total FP INCONS 70
Total FP COMP 17
Total FN 352
Total Scores
MCC 0.629
Average MCC ± 95% Confidence Intervals 0.616 ± 0.106
Sensitivity 0.488
Positive Predictive Value 0.815
Nr of predictions 18

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2. Individual counts for RNAalifold(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 0.84 0.70 1.00 21 2829 0 0 0 0 9
3J2L_3 0.69 0.47 1.00 25 7850 2 0 0 2 28
3J3D_C 0.80 0.68 0.95 19 2755 1 0 1 0 9
3J3E_8 0.23 0.15 0.36 5 7489 9 1 8 0 28
3J3E_7 0.69 0.56 0.86 30 7105 5 1 4 0 24
3J3F_7 0.74 0.58 0.94 29 7229 2 0 2 0 21
3J3F_8 0.48 0.39 0.58 14 12222 17 1 9 7 22
3J3V_B 0.65 0.49 0.88 28 6989 4 0 4 0 29
3ZEX_D 0.80 0.69 0.92 34 6984 3 0 3 0 15
3ZEX_C 0.39 0.27 0.56 14 14171 14 1 10 3 38
3ZND_W 0.47 0.43 0.53 10 2984 11 0 9 2 13
4A1C_2 0.17 0.15 0.19 5 11755 23 2 19 2 28
4A1C_3 0.74 0.57 0.97 31 7108 1 0 1 0 23
4AOB_A 0.72 0.52 1.00 22 4349 1 0 0 1 20
4ENB_A 0.46 0.21 1.00 4 1271 0 0 0 0 15
4ENC_A 0.56 0.32 1.00 6 1320 0 0 0 0 13
4FRG_B 0.73 0.53 1.00 17 3469 0 0 0 0 15

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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.