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 Mastr(seed) - scored lower in this pairwise comparison

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


Overview

Metric RNAshapes Mastr(seed)
MCC 0.580 > 0.236
Average MCC ± 95% Confidence Intervals 0.625 ± 0.068 > 0.108 ± 0.078
Sensitivity 0.518 > 0.062
Positive Predictive Value 0.654 < 0.900
Total TP 977 > 117
Total TN 351460 < 352824
Total FP 618 > 15
Total FP CONTRA 67 > 0
Total FP INCONS 450 > 13
Total FP COMP 101 > 2
Total FN 908 < 1768
P-value 3.56938820447e-08

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Performance plots


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

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

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

  6. Comparison of average Matthews Correlation Coefficients (MCCs) for RNAshapes and Mastr(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 Mastr(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 977
Total TN 351460
Total FP 618
Total FP CONTRA 67
Total FP INCONS 450
Total FP COMP 101
Total FN 908
Total Scores
MCC 0.580
Average MCC ± 95% Confidence Intervals 0.625 ± 0.068
Sensitivity 0.518
Positive Predictive Value 0.654
Nr of predictions 53

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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 0.95 0.91 1.00 10 396 0 0 0 0 1
2KE6_A 0.97 0.95 1.00 18 1110 1 0 0 1 1
2KUR_A 0.95 0.90 1.00 19 1109 0 0 0 0 2
2KUU_A 0.92 0.86 1.00 18 1110 1 0 0 1 3
2KUV_A 0.93 0.86 1.00 19 1109 0 0 0 0 3
2KUW_A 0.95 0.90 1.00 19 1109 0 0 0 0 2
2KX8_A 0.91 0.83 1.00 15 846 0 0 0 0 3
2L1F_B 0.96 0.92 1.00 23 2122 0 0 0 0 2
2L1F_A 0.87 0.83 0.91 20 2058 2 0 2 0 4
2L94_A 0.97 0.95 1.00 19 971 0 0 0 0 1
2LC8_A 0.61 0.55 0.69 11 1524 5 0 5 0 9
2WRQ_Y 0.59 0.59 0.59 10 2833 12 4 3 5 7
2WWQ_V 0.76 0.68 0.86 19 2904 5 0 3 2 9
2XKV_B 0.51 0.50 0.53 10 4541 22 0 9 13 10
2XQD_Y 0.64 0.56 0.75 15 2830 5 0 5 0 12
2XXA_G 0.93 0.86 1.00 36 5115 0 0 0 0 6
2ZZM_B 0.10 0.09 0.12 3 3460 23 0 23 0 29
2ZZN_D 0.69 0.63 0.77 17 2463 5 1 4 0 10
3A2K_C 0.42 0.39 0.46 11 2902 13 2 11 0 17
3A3A_A 0.76 0.65 0.89 24 3628 3 0 3 0 13
3AKZ_H 0.68 0.61 0.77 17 2679 6 1 4 1 11
3AMU_B 0.70 0.59 0.84 16 2984 5 0 3 2 11
3G4S_9 0.41 0.32 0.53 18 7347 16 1 15 0 39
3GX2_A 0.76 0.63 0.93 25 4344 3 0 2 1 15
3IVN_B 0.78 0.61 1.00 19 2327 0 0 0 0 12
3IYQ_A 0.26 0.28 0.24 26 60619 83 21 60 2 68
3IZ4_A 0.52 0.45 0.60 60 70776 45 6 34 5 72
3IZF_C 0.59 0.52 0.68 28 6862 13 1 12 0 26
3J16_L 0.50 0.40 0.63 12 2756 7 0 7 0 18
3J20_1 0.96 0.91 1.00 21 2905 0 0 0 0 2
3J20_0 0.43 0.40 0.48 12 2825 14 0 13 1 18
3J2L_3 0.59 0.51 0.69 27 7836 14 0 12 2 26
3JYV_7 -0.01 0.00 0.00 0 2830 20 0 20 0 32
3JYX_3 0.63 0.63 0.63 17 6301 21 1 9 11 10
3JYX_4 0.31 0.30 0.31 10 12214 35 5 17 13 23
3LA5_A 0.76 0.59 1.00 20 2465 0 0 0 0 14
3NPB_A 0.77 0.63 0.94 29 6990 4 1 1 2 17
3O58_3 0.34 0.34 0.34 12 12368 37 2 21 14 23
3O58_2 0.60 0.61 0.59 23 7221 18 4 12 2 15
3PDR_A 0.67 0.56 0.80 40 12830 12 0 10 2 32
3RKF_A 0.76 0.59 1.00 20 2191 0 0 0 0 14
3SD1_A 0.64 0.52 0.79 22 3888 6 1 5 0 20
3UZL_B 0.39 0.32 0.48 12 3545 13 2 11 0 25
3W3S_B 0.55 0.48 0.63 19 4723 12 1 10 1 21
3ZEX_C 0.23 0.21 0.25 11 14152 41 1 32 8 41
3ZEX_D 0.76 0.63 0.91 31 6987 3 0 3 0 18
4A1C_3 0.68 0.57 0.82 31 7102 7 1 6 0 23
4A1C_2 0.14 0.15 0.14 5 11746 41 5 25 11 28
4AOB_A 0.50 0.40 0.63 17 4344 11 2 8 1 25
4ENB_A 0.70 0.58 0.85 11 1262 2 1 1 0 8
4ENC_A 0.32 0.26 0.42 5 1314 7 1 6 0 14
4FRG_B 0.32 0.28 0.38 9 3462 15 0 15 0 23
4FRN_A 0.52 0.44 0.62 16 5125 10 2 8 0 20

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

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

Total Base Pair Counts
Total TP 117
Total TN 352824
Total FP 15
Total FP CONTRA 0
Total FP INCONS 13
Total FP COMP 2
Total FN 1768
Total Scores
MCC 0.236
Average MCC ± 95% Confidence Intervals 0.108 ± 0.078
Sensitivity 0.062
Positive Predictive Value 0.900
Nr of predictions 53

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

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
2KDQ_B 0.00 0.00 0.00 0 406 0 0 0 0 11
2KE6_A 0.92 0.84 1.00 16 1112 1 0 0 1 3
2KUR_A 0.79 0.71 0.88 15 1111 2 0 2 0 6
2KUU_A 0.76 0.67 0.88 14 1112 3 0 2 1 7
2KUV_A 0.77 0.68 0.88 15 1111 2 0 2 0 7
2KUW_A 0.52 0.48 0.59 10 1111 7 0 7 0 11
2KX8_A 0.00 0.00 0.00 0 861 0 0 0 0 18
2L1F_B 0.98 0.96 1.00 24 2121 0 0 0 0 1
2L1F_A 0.98 0.96 1.00 23 2057 0 0 0 0 1
2L94_A 0.00 0.00 0.00 0 990 0 0 0 0 20
2LC8_A 0.00 0.00 0.00 0 1540 0 0 0 0 20
2WRQ_Y 0.00 0.00 0.00 0 2850 0 0 0 0 17
2WWQ_V 0.00 0.00 0.00 0 2926 0 0 0 0 28
2XKV_B 0.00 0.00 0.00 0 4560 0 0 0 0 20
2XQD_Y 0.00 0.00 0.00 0 2850 0 0 0 0 27
2XXA_G 0.00 0.00 0.00 0 5151 0 0 0 0 42
2ZZM_B 0.00 0.00 0.00 0 3486 0 0 0 0 32
2ZZN_D 0.00 0.00 0.00 0 2485 0 0 0 0 27
3A2K_C 0.00 0.00 0.00 0 2926 0 0 0 0 28
3A3A_A 0.00 0.00 0.00 0 3655 0 0 0 0 37
3AKZ_H 0.00 0.00 0.00 0 2701 0 0 0 0 28
3AMU_B 0.00 0.00 0.00 0 3003 0 0 0 0 27
3G4S_9 0.00 0.00 0.00 0 7381 0 0 0 0 57
3GX2_A 0.00 0.00 0.00 0 4371 0 0 0 0 40
3IVN_B 0.00 0.00 0.00 0 2346 0 0 0 0 31
3IYQ_A 0.00 0.00 0.00 0 60726 0 0 0 0 94
3IZ4_A 0.00 0.00 0.00 0 70876 0 0 0 0 132
3IZF_C 0.00 0.00 0.00 0 6903 0 0 0 0 54
3J16_L 0.00 0.00 0.00 0 2775 0 0 0 0 30
3J20_1 0.00 0.00 0.00 0 2926 0 0 0 0 23
3J20_0 0.00 0.00 0.00 0 2850 0 0 0 0 30
3J2L_3 0.00 0.00 0.00 0 7875 0 0 0 0 53
3JYV_7 0.00 0.00 0.00 0 2850 0 0 0 0 32
3JYX_3 0.00 0.00 0.00 0 6328 0 0 0 0 27
3JYX_4 0.00 0.00 0.00 0 12246 0 0 0 0 33
3LA5_A 0.00 0.00 0.00 0 2485 0 0 0 0 34
3NPB_A 0.00 0.00 0.00 0 7021 0 0 0 0 46
3O58_3 0.00 0.00 0.00 0 12403 0 0 0 0 35
3O58_2 0.00 0.00 0.00 0 7260 0 0 0 0 38
3PDR_A 0.00 0.00 0.00 0 12880 0 0 0 0 72
3RKF_A 0.00 0.00 0.00 0 2211 0 0 0 0 34
3SD1_A 0.00 0.00 0.00 0 3916 0 0 0 0 42
3UZL_B 0.00 0.00 0.00 0 3570 0 0 0 0 37
3W3S_B 0.00 0.00 0.00 0 4753 0 0 0 0 40
3ZEX_C 0.00 0.00 0.00 0 14196 0 0 0 0 52
3ZEX_D 0.00 0.00 0.00 0 7021 0 0 0 0 49
4A1C_3 0.00 0.00 0.00 0 7140 0 0 0 0 54
4A1C_2 0.00 0.00 0.00 0 11781 0 0 0 0 33
4AOB_A 0.00 0.00 0.00 0 4371 0 0 0 0 42
4ENB_A 0.00 0.00 0.00 0 1275 0 0 0 0 19
4ENC_A 0.00 0.00 0.00 0 1326 0 0 0 0 19
4FRG_B 0.00 0.00 0.00 0 3486 0 0 0 0 32
4FRN_A 0.00 0.00 0.00 0 5151 0 0 0 0 36

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