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Table of contents:

  1. Overview

  2. Performance Plots

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

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

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


Overview

Metric RNAalifold(seed) Vsfold4
MCC 0.676 > 0.567
Average MCC ± 95% Confidence Intervals 0.673 ± 0.097 > 0.639 ± 0.137
Sensitivity 0.525 < 0.569
Positive Predictive Value 0.874 > 0.571
Total TP 395 < 428
Total TN 87442 > 87145
Total FP 81 < 386
Total FP CONTRA 25 < 101
Total FP INCONS 32 < 220
Total FP COMP 24 < 65
Total FN 357 > 324
P-value 5.19332990918e-08

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Performance plots


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

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

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

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

Total Base Pair Counts
Total TP 395
Total TN 87442
Total FP 81
Total FP CONTRA 25
Total FP INCONS 32
Total FP COMP 24
Total FN 357
Total Scores
MCC 0.676
Average MCC ± 95% Confidence Intervals 0.673 ± 0.097
Sensitivity 0.525
Positive Predictive Value 0.874
Nr of predictions 29

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

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
2KDQ_B 0.54 0.30 1.00 3 171 0 0 0 0 7
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 0.88 0.83 0.94 15 454 2 0 1 1 3
2KX8_A 0.00 0.00 0.00 0 371 0 0 0 0 16
2L1F_A 0.68 0.61 0.78 14 745 4 0 4 0 9
2L1F_B 0.65 0.58 0.74 14 772 5 0 5 0 10
2L94_A 0.57 0.39 0.88 7 349 2 0 1 1 11
2LC8_A -0.03 0.00 0.00 0 516 12 0 12 0 18
2XKV_B 0.80 0.64 1.00 7 1828 2 0 0 2 4
2XXA_G 0.50 0.26 1.00 9 2036 0 0 0 0 26
3A3A_A 0.79 0.63 1.00 19 1481 0 0 0 0 11
3GX2_A 0.88 0.79 1.00 22 1427 1 0 0 1 6
3IVN_B 0.71 0.65 0.79 15 884 4 2 2 0 8
3IYQ_A 0.36 0.27 0.48 14 22411 19 13 2 4 37
3IZ4_A 0.46 0.26 0.81 25 25505 8 6 0 2 70
3JYX_4 0.76 0.58 1.00 7 4749 2 0 0 2 5
3LA5_A 0.73 0.64 0.84 16 935 3 1 2 0 9
3NPB_A 0.77 0.59 1.00 22 2256 3 0 0 3 15
3O58_3 0.60 0.36 1.00 8 4756 1 0 0 1 14
3PDR_A 0.81 0.66 1.00 33 4807 1 0 0 1 17
3RKF_A 0.74 0.67 0.84 16 847 3 1 2 0 8
3SD1_A 0.70 0.59 0.85 17 1513 3 2 1 0 12
4A1C_2 0.50 0.25 1.00 5 4511 2 0 0 2 15
4AOB_A 0.85 0.72 1.00 21 1416 2 0 0 2 8
4ENB_A 0.63 0.40 1.00 6 466 0 0 0 0 9
4ENC_A 0.63 0.40 1.00 6 490 0 0 0 0 9

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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 428
Total TN 87145
Total FP 386
Total FP CONTRA 101
Total FP INCONS 220
Total FP COMP 65
Total FN 324
Total Scores
MCC 0.567
Average MCC ± 95% Confidence Intervals 0.639 ± 0.137
Sensitivity 0.569
Positive Predictive Value 0.571
Nr of predictions 29

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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
2KX8_A 1.00 1.00 1.00 16 355 0 0 0 0 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
2XKV_B -0.01 0.00 0.00 0 1808 27 13 14 0 11
2XXA_G -0.02 0.00 0.00 0 2016 29 1 28 0 35
3A3A_A 0.95 0.90 1.00 27 1473 0 0 0 0 3
3GX2_A 0.60 0.57 0.64 16 1424 10 0 9 1 12
3IVN_B 0.91 0.83 1.00 19 884 0 0 0 0 4
3IYQ_A 0.27 0.35 0.21 18 22353 80 40 29 11 33
3IZ4_A 0.39 0.39 0.39 37 25441 63 15 43 5 58
3JYX_4 0.19 0.25 0.15 3 4736 33 9 8 16 9
3LA5_A 0.91 0.84 1.00 21 933 0 0 0 0 4
3NPB_A 0.66 0.59 0.73 22 2248 10 0 8 2 15
3O58_3 0.12 0.14 0.11 3 4737 35 8 16 11 19
3PDR_A 0.69 0.64 0.74 32 4797 13 3 8 2 18
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
4AOB_A 0.50 0.48 0.54 14 1411 13 3 9 1 15
4ENB_A 0.85 0.73 1.00 11 461 0 0 0 0 4
4ENC_A 0.77 0.60 1.00 9 487 0 0 0 0 6

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