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

  1. Overview

  2. Performance Plots

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

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

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


Overview

Metric Carnac(20) RNAshapes
MCC 0.662 > 0.637
Average MCC ± 95% Confidence Intervals 0.610 ± 0.164 < 0.631 ± 0.162
Sensitivity 0.469 < 0.637
Positive Predictive Value 0.938 > 0.644
Total TP 213 < 289
Total TN 52036 > 51814
Total FP 24 < 208
Total FP CONTRA 6 < 50
Total FP INCONS 8 < 110
Total FP COMP 10 < 48
Total FN 241 > 165
P-value 4.78495854732e-07

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Performance plots


  1. Comparison of performance of Carnac(20) and RNAshapes. 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 Carnac(20) and RNAshapes).

  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 Carnac(20) and RNAshapes).

  3. Comparison of average Matthews Correlation Coefficients (MCCs) for Carnac(20) and RNAshapes. 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 Carnac(20) and RNAshapes).

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

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

Total Base Pair Counts
Total TP 213
Total TN 52036
Total FP 24
Total FP CONTRA 6
Total FP INCONS 8
Total FP COMP 10
Total FN 241
Total Scores
MCC 0.662
Average MCC ± 95% Confidence Intervals 0.610 ± 0.164
Sensitivity 0.469
Positive Predictive Value 0.938
Nr of predictions 15

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

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
3A2K_C 0.88 0.77 1.00 17 1091 0 0 0 0 5
3GX2_A 0.68 0.46 1.00 13 1436 0 0 0 0 15
3IVN_B 0.91 0.83 1.00 19 884 0 0 0 0 4
3IZ4_A 0.52 0.31 0.88 29 25503 4 3 1 0 66
3JYV_7 0.81 0.70 0.93 14 1096 3 0 1 2 6
3LA5_A 0.91 0.84 1.00 21 933 0 0 0 0 4
3NPB_A 0.46 0.22 1.00 8 2270 3 0 0 3 29
3O58_3 0.60 0.36 1.00 8 4756 1 0 0 1 14
3PDR_A 0.75 0.58 0.97 29 4810 3 1 0 2 21
3RKF_A 0.91 0.83 1.00 20 846 0 0 0 0 4
3SD1_A 0.72 0.55 0.94 16 1516 1 0 1 0 13
4A1C_2 0.42 0.25 0.71 5 4509 3 0 2 1 15
4AOB_A 0.59 0.48 0.74 14 1418 6 2 3 1 15
4ENB_A 0.00 0.00 0.00 0 472 0 0 0 0 15
4ENC_A 0.00 0.00 0.00 0 496 0 0 0 0 15

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Performance of RNAshapes - scored lower in this pairwise comparison

1. Total counts & total scores for RNAshapes

Total Base Pair Counts
Total TP 289
Total TN 51814
Total FP 208
Total FP CONTRA 50
Total FP INCONS 110
Total FP COMP 48
Total FN 165
Total Scores
MCC 0.637
Average MCC ± 95% Confidence Intervals 0.631 ± 0.162
Sensitivity 0.637
Positive Predictive Value 0.644
Nr of predictions 15

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

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
3A2K_C 0.47 0.50 0.46 11 1084 13 3 10 0 11
3GX2_A 0.91 0.89 0.93 25 1422 3 1 1 1 3
3IVN_B 0.91 0.83 1.00 19 884 0 0 0 0 4
3IZ4_A 0.57 0.58 0.56 55 25437 50 16 28 6 40
3JYV_7 -0.02 0.00 0.00 0 1092 20 1 18 1 20
3LA5_A 0.89 0.80 1.00 20 934 0 0 0 0 5
3NPB_A 0.84 0.76 0.93 28 2248 5 1 1 3 9
3O58_3 0.41 0.50 0.34 11 4732 38 6 15 17 11
3PDR_A 0.80 0.80 0.80 40 4790 12 3 7 2 10
3RKF_A 0.91 0.83 1.00 20 846 0 0 0 0 4
3SD1_A 0.77 0.76 0.79 22 1505 6 4 2 0 7
4A1C_2 0.19 0.25 0.16 5 4484 41 11 16 14 15
4AOB_A 0.60 0.59 0.63 17 1410 11 4 6 1 12
4ENB_A 0.85 0.73 1.00 11 461 2 0 0 2 4
4ENC_A 0.37 0.33 0.45 5 485 7 0 6 1 10

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