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 RNAsubopt - scored lower in this pairwise comparison

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


Overview

Metric RNAshapes RNAsubopt
MCC 0.539 > 0.531
Average MCC ± 95% Confidence Intervals 0.531 ± 0.068 > 0.508 ± 0.075
Sensitivity 0.470 < 0.473
Positive Predictive Value 0.622 > 0.601
Total TP 882 < 887
Total TN 338576 > 338518
Total FP 618 < 656
Total FP CONTRA 75 < 85
Total FP INCONS 460 < 503
Total FP COMP 83 > 68
Total FN 993 > 988
P-value 2.12176083234e-07

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Performance plots


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

  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 RNAshapes and RNAsubopt).

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

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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 882
Total TN 338576
Total FP 618
Total FP CONTRA 75
Total FP INCONS 460
Total FP COMP 83
Total FN 993
Total Scores
MCC 0.539
Average MCC ± 95% Confidence Intervals 0.531 ± 0.068
Sensitivity 0.470
Positive Predictive Value 0.622
Nr of predictions 55

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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
2KFC_A - -0.02 0.00 0.00 0 623 7 0 7 0 20
2KRL_A - 0.76 0.60 0.96 24 5126 5 0 1 4 16
2KX8_A 0.91 0.83 1.00 15 846 0 0 0 0 3
2LA5_A - 0.39 0.26 0.63 5 622 3 1 2 0 14
2LC8_A 0.61 0.55 0.69 11 1524 5 0 5 0 9
2LKR_A - 0.93 0.87 1.00 34 6071 1 0 0 1 5
2RP0_A - 0.64 0.42 1.00 5 346 0 0 0 0 7
2WRQ_Y 0.59 0.59 0.59 10 2833 12 4 3 5 7
2WW9_F - 0.59 0.60 0.60 6 290 4 0 4 0 4
2WW9_D - 0.16 0.12 0.25 3 1941 9 4 5 0 23
2WW9_E - 0.53 0.29 1.00 4 557 0 0 0 0 10
2WWQ_V 0.76 0.68 0.86 19 2904 5 0 3 2 9
2XQD_Y 0.64 0.56 0.75 15 2830 5 0 5 0 12
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
3ADB_C - 0.67 0.61 0.74 23 4155 8 0 8 0 15
3AKZ_H 0.68 0.61 0.77 17 2679 6 1 4 1 11
3AM1_B - 0.64 0.60 0.70 21 3210 9 1 8 0 14
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
3GCA_A - 0.54 0.29 1.00 5 523 0 0 0 0 12
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
3IWN_A 0.76 0.67 0.88 22 4253 3 0 3 0 11
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
3J0L_2 - 0.38 0.36 0.40 12 6186 20 3 15 2 21
3J0L_g - -0.01 0.00 0.00 0 461 4 1 3 0 4
3J0L_7 - -0.01 0.00 0.00 0 1213 12 0 12 0 17
3J0L_a - 0.23 0.19 0.30 3 1118 7 1 6 0 13
3J16_L 0.50 0.40 0.63 12 2756 7 0 7 0 18
3JYV_7 -0.01 0.00 0.00 0 2830 20 0 20 0 32
3JYX_4 0.31 0.30 0.31 10 12214 35 5 17 13 23
3JYX_3 0.63 0.63 0.63 17 6301 21 1 9 11 10
3KTW_C - 0.39 0.35 0.45 15 4527 19 1 17 1 28
3LA5_A 0.76 0.59 1.00 20 2465 0 0 0 0 14
3NDB_M - 0.82 0.72 0.94 44 9133 4 0 3 1 17
3NKB_B - 0.61 0.54 0.70 14 1996 6 0 6 0 12
3NPB_A 0.77 0.63 0.94 29 6990 4 1 1 2 17
3O58_2 0.60 0.61 0.59 23 7221 18 4 12 2 15
3O58_3 0.34 0.34 0.34 12 12368 37 2 21 14 23
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
3U4M_B - 0.38 0.32 0.46 12 3134 14 0 14 0 25
3UZL_B 0.39 0.32 0.48 12 3545 13 2 11 0 25
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

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Performance of RNAsubopt - scored lower in this pairwise comparison

1. Total counts & total scores for RNAsubopt

Total Base Pair Counts
Total TP 887
Total TN 338518
Total FP 656
Total FP CONTRA 85
Total FP INCONS 503
Total FP COMP 68
Total FN 988
Total Scores
MCC 0.531
Average MCC ± 95% Confidence Intervals 0.508 ± 0.075
Sensitivity 0.473
Positive Predictive Value 0.601
Nr of predictions 55

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2. Individual counts for RNAsubopt [ 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
2KFC_A - -0.02 0.00 0.00 0 623 7 0 7 0 20
2KRL_A - 0.52 0.43 0.65 17 5125 12 3 6 3 23
2KX8_A 0.91 0.83 1.00 15 846 0 0 0 0 3
2LA5_A - 0.39 0.26 0.63 5 622 3 1 2 0 14
2LC8_A -0.01 0.00 0.00 0 1525 15 2 13 0 20
2LKR_A - 0.81 0.77 0.86 30 6070 9 0 5 4 9
2RP0_A - 0.64 0.42 1.00 5 346 0 0 0 0 7
2WRQ_Y 0.57 0.59 0.56 10 2832 12 5 3 4 7
2WW9_F - 0.59 0.60 0.60 6 290 4 0 4 0 4
2WW9_D - 0.15 0.12 0.21 3 1939 11 4 7 0 23
2WW9_E - -0.01 0.00 0.00 0 556 5 0 5 0 14
2WWQ_V 0.76 0.68 0.86 19 2904 5 0 3 2 9
2XQD_Y 0.75 0.67 0.86 18 2829 3 0 3 0 9
2ZZM_B 0.23 0.22 0.26 7 3459 20 2 18 0 25
2ZZN_D 0.48 0.44 0.52 12 2462 11 1 10 0 15
3A2K_C 0.42 0.39 0.46 11 2902 13 2 11 0 17
3A3A_A 0.87 0.76 1.00 28 3627 0 0 0 0 9
3ADB_C - 0.92 0.84 1.00 32 4154 0 0 0 0 6
3AKZ_H 0.39 0.36 0.43 10 2678 13 2 11 0 18
3AM1_B - 0.91 0.83 1.00 29 3211 0 0 0 0 6
3AMU_B 0.70 0.59 0.84 16 2984 5 0 3 2 11
3G4S_9 0.28 0.23 0.35 13 7344 24 1 23 0 44
3GCA_A - 0.54 0.29 1.00 5 523 0 0 0 0 12
3GX2_A 0.44 0.38 0.54 15 4343 14 1 12 1 25
3IVN_B 0.76 0.58 1.00 18 2328 0 0 0 0 13
3IWN_A 0.63 0.58 0.70 19 4251 9 0 8 1 14
3IYQ_A 0.33 0.36 0.30 34 60614 82 17 61 4 60
3IZ4_A 0.51 0.47 0.56 62 70766 49 8 40 1 70
3IZF_C 0.70 0.61 0.80 33 6862 8 1 7 0 21
3J0L_2 - 0.25 0.24 0.28 8 6187 25 0 21 4 25
3J0L_g - -0.01 0.00 0.00 0 460 5 1 4 0 4
3J0L_7 - -0.01 0.00 0.00 0 1213 12 0 12 0 17
3J0L_a - 0.35 0.31 0.42 5 1116 7 1 6 0 11
3J16_L 0.41 0.37 0.48 11 2752 12 1 11 0 19
3JYV_7 -0.01 0.00 0.00 0 2829 21 0 21 0 32
3JYX_4 0.19 0.21 0.17 7 12204 38 11 24 3 26
3JYX_3 0.63 0.63 0.63 17 6301 21 1 9 11 10
3KTW_C - 0.75 0.65 0.88 28 4528 5 2 2 1 15
3LA5_A 0.78 0.62 1.00 21 2464 0 0 0 0 13
3NDB_M - 0.77 0.69 0.86 42 9131 8 0 7 1 19
3NKB_B - 0.57 0.50 0.65 13 1996 7 0 7 0 13
3NPB_A 0.75 0.65 0.86 30 6986 7 1 4 2 16
3O58_2 0.72 0.74 0.70 28 7220 13 4 8 1 10
3O58_3 0.34 0.34 0.34 12 12368 34 2 21 11 23
3PDR_A 0.75 0.63 0.90 45 12830 7 1 4 2 27
3RKF_A 0.76 0.59 1.00 20 2191 0 0 0 0 14
3SD1_A 0.61 0.50 0.75 21 3888 7 1 6 0 21
3U4M_B - 0.38 0.32 0.46 12 3134 14 0 14 0 25
3UZL_B 0.48 0.38 0.61 14 3547 9 0 9 0 23
4A1C_3 0.70 0.59 0.82 32 7101 7 1 6 0 22
4A1C_2 0.14 0.15 0.13 5 11742 43 5 29 9 28
4AOB_A 0.52 0.43 0.64 18 4343 11 2 8 1 24
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 0 7 0 14

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