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(seed) - scored higher in this pairwise comparison

  4. Performance of Vsfold4 - scored lower in this pairwise comparison

  5. Compile and download dataset for RNASampler(seed) & Vsfold4 [.zip] - may take several seconds...


Overview

Metric RNASampler(seed) Vsfold4
MCC 0.765 > 0.683
Average MCC ± 95% Confidence Intervals 0.764 ± 0.134 > 0.702 ± 0.191
Sensitivity 0.687 > 0.672
Positive Predictive Value 0.859 > 0.703
Total TP 237 > 232
Total TN 23465 > 23411
Total FP 62 < 141
Total FP CONTRA 15 < 26
Total FP INCONS 24 < 72
Total FP COMP 23 < 43
Total FN 108 < 113
P-value 3.05041766982e-08

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Performance plots


  1. Comparison of performance of RNASampler(seed) and Vsfold4. 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(seed) and Vsfold4).

  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(seed) and Vsfold4).

  3. Comparison of average Matthews Correlation Coefficients (MCCs) for RNASampler(seed) and Vsfold4. 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(seed) and Vsfold4).

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

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

Total Base Pair Counts
Total TP 237
Total TN 23465
Total FP 62
Total FP CONTRA 15
Total FP INCONS 24
Total FP COMP 23
Total FN 108
Total Scores
MCC 0.765
Average MCC ± 95% Confidence Intervals 0.764 ± 0.134
Sensitivity 0.687
Positive Predictive Value 0.859
Nr of predictions 17

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2. Individual counts for RNASampler(seed) [ download as .csv ]

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
2KDQ_B 1.00 1.00 1.00 10 164 0 0 0 0 0
2KE6_A 0.94 0.89 1.00 16 451 1 0 0 1 2
2KUR_A 0.94 0.89 1.00 17 450 0 0 0 0 2
2KUU_A 0.94 0.89 1.00 16 431 1 0 0 1 2
2KUV_A 0.94 0.89 1.00 17 422 0 0 0 0 2
2KUW_A 0.94 0.89 1.00 16 454 1 0 0 1 2
2L1F_A 0.83 0.70 1.00 16 747 0 0 0 0 7
2L1F_B 0.84 0.71 1.00 17 774 0 0 0 0 7
2L94_A 0.70 0.56 0.91 10 346 2 0 1 1 8
2LC8_A -0.03 0.00 0.00 0 518 10 0 10 0 18
3A3A_A 0.77 0.60 1.00 18 1482 0 0 0 0 12
3IVN_B 0.91 0.83 1.00 19 884 0 0 0 0 4
3JYX_4 0.70 0.83 0.59 10 4739 13 6 1 6 2
3O58_3 0.54 0.50 0.58 11 4745 13 5 3 5 11
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 0.40 0.40 0.40 8 4496 20 4 8 8 12

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Performance of Vsfold4 - scored lower in this pairwise comparison

1. Total counts & total scores for Vsfold4

Total Base Pair Counts
Total TP 232
Total TN 23411
Total FP 141
Total FP CONTRA 26
Total FP INCONS 72
Total FP COMP 43
Total FN 113
Total Scores
MCC 0.683
Average MCC ± 95% Confidence Intervals 0.702 ± 0.191
Sensitivity 0.672
Positive Predictive Value 0.703
Nr of predictions 17

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2. Individual counts for Vsfold4 [ download as .csv ]

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
2KDQ_B 1.00 1.00 1.00 10 164 0 0 0 0 0
2KE6_A 1.00 1.00 1.00 18 449 1 0 0 1 0
2KUR_A 1.00 1.00 1.00 19 448 0 0 0 0 0
2KUU_A 1.00 1.00 1.00 18 429 1 0 0 1 0
2KUV_A 1.00 1.00 1.00 19 420 0 0 0 0 0
2KUW_A 1.00 1.00 1.00 18 452 1 0 0 1 0
2L1F_A 0.67 0.57 0.81 13 747 3 0 3 0 10
2L1F_B 0.69 0.58 0.82 14 774 3 0 3 0 10
2L94_A 0.94 0.89 1.00 16 341 1 0 0 1 2
2LC8_A -0.03 0.00 0.00 0 515 13 0 13 0 18
3A3A_A 0.95 0.90 1.00 27 1473 0 0 0 0 3
3IVN_B 0.91 0.83 1.00 19 884 0 0 0 0 4
3JYX_4 0.19 0.25 0.15 3 4736 33 9 8 16 9
3O58_3 0.12 0.14 0.11 3 4737 35 8 16 11 19
3RKF_A 0.91 0.83 1.00 20 846 0 0 0 0 4
3SD1_A 0.23 0.24 0.24 7 1504 22 5 17 0 22
4A1C_2 0.36 0.40 0.33 8 4492 28 4 12 12 12

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