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

  1. Overview

  2. Performance Plots

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

  4. Performance of RNAalifold(seed) - scored lower in this pairwise comparison

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


Overview

Metric RNAshapes RNAalifold(seed)
MCC 0.683 > 0.680
Average MCC ± 95% Confidence Intervals 0.746 ± 0.091 > 0.677 ± 0.086
Sensitivity 0.707 > 0.525
Positive Predictive Value 0.666 < 0.885
Total TP 612 > 455
Total TN 97388 < 97793
Total FP 423 > 87
Total FP CONTRA 110 > 26
Total FP INCONS 197 > 33
Total FP COMP 116 > 28
Total FN 254 < 411
P-value 0.090340659959

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Performance plots


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

  2. Comparison of performance of RNAshapes and RNAalifold(seed). 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 RNAshapes and RNAalifold(seed)).

  3. 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 RNAshapes and RNAalifold(seed)).

  4. 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 RNAshapes and RNAalifold(seed)).

  5. Comparison of average Matthews Correlation Coefficients (MCCs) for RNAshapes and RNAalifold(seed). 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 RNAshapes and RNAalifold(seed)).

  6. Comparison of average Matthews Correlation Coefficients (MCCs) for RNAshapes and RNAalifold(seed). 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 RNAshapes and RNAalifold(seed)).

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Performance of RNAshapes - scored higher in this pairwise comparison

1. Total counts & total scores for RNAshapes

Total Base Pair Counts
Total TP 612
Total TN 97388
Total FP 423
Total FP CONTRA 110
Total FP INCONS 197
Total FP COMP 116
Total FN 254
Total Scores
MCC 0.683
Average MCC ± 95% Confidence Intervals 0.746 ± 0.091
Sensitivity 0.707
Positive Predictive Value 0.666
Nr of predictions 33

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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
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 0.97 0.94 1.00 15 356 0 0 0 0 1
2L1F_A 0.89 0.87 0.91 20 741 2 0 2 0 3
2L1F_B 0.98 0.96 1.00 23 768 0 0 0 0 1
2L94_A 1.00 1.00 1.00 18 339 1 0 0 1 0
2LC8_A 0.64 0.61 0.69 11 512 5 0 5 0 7
2XKV_B 0.64 0.73 0.57 8 1821 24 0 6 18 3
2XXA_G 1.00 1.00 1.00 35 2010 1 0 0 1 0
3A3A_A 0.84 0.80 0.89 24 1473 3 0 3 0 6
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
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
3JYX_4 0.61 0.83 0.45 10 4734 35 10 2 23 2
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
3W3S_B 0.60 0.58 0.63 19 1959 12 2 9 1 14
3ZEX_C 0.29 0.34 0.26 10 5335 42 5 24 13 19
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
4FRG_B 0.36 0.38 0.38 9 1178 15 2 13 0 15
4FRN_A 0.59 0.57 0.62 16 1822 10 2 8 0 12

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

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

Total Base Pair Counts
Total TP 455
Total TN 97793
Total FP 87
Total FP CONTRA 26
Total FP INCONS 33
Total FP COMP 28
Total FN 411
Total Scores
MCC 0.680
Average MCC ± 95% Confidence Intervals 0.677 ± 0.086
Sensitivity 0.525
Positive Predictive Value 0.885
Nr of predictions 33

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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
3W3S_B 0.71 0.52 1.00 17 1972 2 0 0 2 16
3ZEX_C 0.49 0.24 1.00 7 5367 2 0 0 2 22
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
4FRG_B 0.84 0.71 1.00 17 1185 0 0 0 0 7
4FRN_A 0.78 0.68 0.90 19 1827 2 1 1 0 9

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