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

  1. Overview

  2. Performance Plots

  3. Performance of HotKnots - scored higher in this pairwise comparison

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

  5. Compile and download dataset for HotKnots & RNAshapes [.zip] - may take several seconds...


Overview

Metric HotKnots RNAshapes
MCC 0.631 > 0.610
Average MCC ± 95% Confidence Intervals 0.664 ± 0.116 > 0.622 ± 0.114
Sensitivity 0.666 > 0.625
Positive Predictive Value 0.605 > 0.602
Total TP 488 > 458
Total TN 85155 < 85201
Total FP 372 > 371
Total FP CONTRA 135 > 103
Total FP INCONS 184 < 200
Total FP COMP 53 < 68
Total FN 245 < 275
P-value 5.19332990918e-08

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Performance plots


  1. Comparison of performance of HotKnots 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 HotKnots 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 HotKnots and RNAshapes).

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

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Performance of HotKnots - scored higher in this pairwise comparison

1. Total counts & total scores for HotKnots

Total Base Pair Counts
Total TP 488
Total TN 85155
Total FP 372
Total FP CONTRA 135
Total FP INCONS 184
Total FP COMP 53
Total FN 245
Total Scores
MCC 0.631
Average MCC ± 95% Confidence Intervals 0.664 ± 0.116
Sensitivity 0.666
Positive Predictive Value 0.605
Nr of predictions 28

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

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
2KFC_A - -0.03 0.00 0.00 0 229 7 1 6 0 8
2KRL_A - 0.91 0.87 0.95 20 2003 9 1 0 8 3
2LC8_A 0.64 0.61 0.69 11 512 5 0 5 0 7
2RP0_A - 0.84 0.71 1.00 5 111 0 0 0 0 2
2ZZN_D 0.93 0.95 0.91 21 961 3 2 0 1 1
3A2K_C 0.47 0.50 0.46 11 1084 13 3 10 0 11
3A3A_A 0.97 0.93 1.00 28 1472 0 0 0 0 2
3ADB_C - 0.86 0.85 0.88 28 1787 5 0 4 1 5
3GCA_A - 0.84 0.71 1.00 5 153 0 0 0 0 2
3GX2_A 0.81 0.79 0.85 22 1423 5 2 2 1 6
3IVN_B 0.91 0.83 1.00 19 884 0 0 0 0 4
3IWN_A 0.69 0.68 0.70 19 1445 9 1 7 1 9
3IYQ_A 0.24 0.33 0.17 17 22341 96 47 35 14 34
3IZ4_A 0.56 0.60 0.52 57 25426 57 26 27 4 38
3J0L_a - 0.55 0.64 0.50 7 397 8 5 2 1 4
3JYV_7 -0.02 0.00 0.00 0 1089 22 4 18 0 20
3LA5_A 0.91 0.84 1.00 21 933 0 0 0 0 4
3NKB_B - 0.69 0.74 0.67 14 714 7 0 7 0 5
3NPB_A 0.85 0.78 0.94 29 2247 6 0 2 4 8
3O58_3 0.26 0.36 0.19 8 4722 35 16 18 1 14
3PDR_A 0.81 0.80 0.82 40 4791 11 3 6 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
3U4M_B - 0.49 0.55 0.46 12 1250 14 3 11 0 10
4A1C_2 0.19 0.25 0.15 5 4483 42 12 16 14 15
4AOB_A 0.60 0.59 0.63 17 1410 11 4 6 1 12
4ENB_A 1.00 1.00 1.00 15 457 0 0 0 0 0
4ENC_A 0.97 1.00 0.94 15 480 1 1 0 0 0

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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 458
Total TN 85201
Total FP 371
Total FP CONTRA 103
Total FP INCONS 200
Total FP COMP 68
Total FN 275
Total Scores
MCC 0.610
Average MCC ± 95% Confidence Intervals 0.622 ± 0.114
Sensitivity 0.625
Positive Predictive Value 0.602
Nr of predictions 28

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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
2KFC_A - -0.03 0.00 0.00 0 229 7 1 6 0 8
2KRL_A - 0.91 0.87 0.95 20 2003 9 1 0 8 3
2LC8_A 0.64 0.61 0.69 11 512 5 0 5 0 7
2RP0_A - 0.84 0.71 1.00 5 111 0 0 0 0 2
2ZZN_D 0.77 0.77 0.77 17 962 5 1 4 0 5
3A2K_C 0.47 0.50 0.46 11 1084 13 3 10 0 11
3A3A_A 0.84 0.80 0.89 24 1473 3 0 3 0 6
3ADB_C - 0.71 0.70 0.74 23 1788 8 0 8 0 10
3GCA_A - 0.84 0.71 1.00 5 153 0 0 0 0 2
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
3IWN_A 0.83 0.79 0.88 22 1447 3 1 2 0 6
3IYQ_A 0.19 0.27 0.14 14 22340 95 43 43 9 37
3IZ4_A 0.57 0.58 0.56 55 25437 50 16 28 6 40
3J0L_a - 0.18 0.18 0.22 2 402 8 3 4 1 9
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
3NKB_B - 0.75 0.74 0.78 14 717 6 0 4 2 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
3U4M_B - 0.49 0.55 0.46 12 1250 14 3 11 0 10
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.