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 Cylofold - scored lower in this pairwise comparison

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


Overview

Metric RNAshapes Cylofold
MCC 0.639 > 0.607
Average MCC ± 95% Confidence Intervals 0.680 ± 0.062 > 0.658 ± 0.061
Sensitivity 0.566 > 0.517
Positive Predictive Value 0.727 > 0.718
Total TP 1084 > 990
Total TN 222565 < 222679
Total FP 472 > 437
Total FP CONTRA 34 < 44
Total FP INCONS 374 > 344
Total FP COMP 64 > 49
Total FN 831 < 925
P-value 3.56938820447e-08

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Performance plots


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

  2. Comparison of performance of RNAshapes and Cylofold. 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 Cylofold).

  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 Cylofold).

  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 Cylofold).

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

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

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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 1084
Total TN 222565
Total FP 472
Total FP CONTRA 34
Total FP INCONS 374
Total FP COMP 64
Total FN 831
Total Scores
MCC 0.639
Average MCC ± 95% Confidence Intervals 0.680 ± 0.062
Sensitivity 0.566
Positive Predictive Value 0.727
Nr of predictions 75

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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
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
2KXM_A - 0.83 0.70 1.00 7 344 0 0 0 0 3
2KZL_A - 0.86 0.74 1.00 14 1471 0 0 0 0 5
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
2L2K_A - 0.92 0.84 1.00 16 845 0 0 0 0 3
2L3C_B - 0.91 0.82 1.00 14 547 0 0 0 0 3
2L3E_A - 0.96 0.92 1.00 12 583 1 0 0 1 1
2L3J_B 0.92 0.85 1.00 29 2456 0 0 0 0 5
2L5Z_A - 0.86 0.75 1.00 9 316 0 0 0 0 3
2L94_A 0.97 0.95 1.00 19 971 0 0 0 0 1
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
2LDL_A - 0.90 0.82 1.00 9 342 1 0 0 1 2
2LDT_A - 0.85 0.73 1.00 11 454 0 0 0 0 4
2LI4_A - 0.93 0.88 1.00 14 482 0 0 0 0 2
2LK3_A - 0.95 0.90 1.00 9 267 0 0 0 0 1
2LKR_A - 0.93 0.87 1.00 34 6071 1 0 0 1 5
2LWK_A - 0.83 0.77 0.91 10 485 1 0 1 0 3
2RRC_A - 0.70 0.50 1.00 5 226 0 0 0 0 5
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
2Y9C_V - 0.65 0.63 0.68 15 2256 8 1 6 1 9
2YIE_Z - -0.01 0.00 0.00 0 1525 15 3 12 0 12
2YIE_X - 0.25 0.25 0.27 3 1367 11 1 7 3 9
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
3IZF_C 0.59 0.52 0.68 28 6862 13 1 12 0 26
3J0L_7 - -0.01 0.00 0.00 0 1213 12 0 12 0 17
3J0L_g - -0.01 0.00 0.00 0 461 4 1 3 0 4
3J0L_a - 0.23 0.19 0.30 3 1118 7 1 6 0 13
3J0L_2 - 0.38 0.36 0.40 12 6186 20 3 15 2 21
3J0L_1 - 0.76 0.63 0.92 12 1212 2 0 1 1 7
3J0L_h - 0.75 0.60 0.93 26 6077 4 0 2 2 17
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
3J2C_O - 0.39 0.33 0.47 21 10251 24 0 24 0 42
3J2L_3 0.59 0.51 0.69 27 7836 14 0 12 2 26
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
3NMU_E - 0.54 0.50 0.60 3 556 5 0 2 3 3
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
3OVB_D - 1.00 1.00 1.00 11 584 1 0 0 1 0
3OVS_D - 0.96 0.92 1.00 12 549 0 0 0 0 1
3P22_G - 0.96 0.92 1.00 11 730 0 0 0 0 1
3PDR_A 0.67 0.56 0.80 40 12830 12 0 10 2 32
3R4F_A - 0.96 0.92 1.00 23 2122 0 0 0 0 2
3R9X_C - 0.84 0.80 0.89 8 586 2 0 1 1 2
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
3SIU_F - 0.85 0.73 1.00 8 370 0 0 0 0 3
3SN2_B 0.96 0.92 1.00 11 395 0 0 0 0 1
3TRZ_Z - 0.91 0.83 1.00 5 205 1 0 0 1 1
3TS2_V - 1.00 1.00 1.00 5 271 0 0 0 0 0
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
3VJR_D - 0.96 0.92 1.00 12 618 0 0 0 0 1
3W3S_B 0.55 0.48 0.63 19 4723 12 1 10 1 21
3ZEX_D 0.76 0.63 0.91 31 6987 3 0 3 0 18
3ZEX_E - 0.00 0.00 0.00 0 21888 59 3 54 2 77
4A4U_A - 1.00 1.00 1.00 9 222 0 0 0 0 0
4AOB_A 0.50 0.40 0.63 17 4344 11 2 8 1 25
4ATO_G - 0.32 0.30 0.38 3 520 5 1 4 0 7
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
4FNJ_A - 0.79 0.63 1.00 10 585 0 0 0 0 6
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
4HXH_A - 1.00 1.00 1.00 6 319 0 0 0 0 0

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Performance of Cylofold - scored lower in this pairwise comparison

1. Total counts & total scores for Cylofold

Total Base Pair Counts
Total TP 990
Total TN 222679
Total FP 437
Total FP CONTRA 44
Total FP INCONS 344
Total FP COMP 49
Total FN 925
Total Scores
MCC 0.607
Average MCC ± 95% Confidence Intervals 0.658 ± 0.061
Sensitivity 0.517
Positive Predictive Value 0.718
Nr of predictions 75

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

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
2KRL_A - 0.72 0.60 0.86 24 5123 8 2 2 4 16
2KX8_A 0.94 0.89 1.00 16 845 0 0 0 0 2
2KXM_A - 0.70 0.50 1.00 5 346 0 0 0 0 5
2KZL_A - 0.72 0.53 1.00 10 1475 0 0 0 0 9
2L1F_B 0.92 0.84 1.00 21 2124 0 0 0 0 4
2L1F_A 0.91 0.83 1.00 20 2060 0 0 0 0 4
2L2K_A - 0.82 0.68 1.00 13 848 0 0 0 0 6
2L3C_B - 0.76 0.59 1.00 10 551 0 0 0 0 7
2L3E_A - 0.96 0.92 1.00 12 583 1 0 0 1 1
2L3J_B 0.89 0.79 1.00 27 2458 0 0 0 0 7
2L5Z_A - 0.86 0.75 1.00 9 316 0 0 0 0 3
2L94_A 0.97 0.95 1.00 19 971 0 0 0 0 1
2LA5_A - 0.46 0.26 0.83 5 624 1 0 1 0 14
2LC8_A 0.61 0.55 0.69 11 1524 5 0 5 0 9
2LDL_A - 0.73 0.55 1.00 6 345 0 0 0 0 5
2LDT_A - 0.85 0.73 1.00 11 454 0 0 0 0 4
2LI4_A - 0.93 0.88 1.00 14 482 0 0 0 0 2
2LK3_A - 0.95 0.90 1.00 9 267 0 0 0 0 1
2LKR_A - 0.50 0.44 0.59 17 6076 12 2 10 0 22
2LWK_A - 0.83 0.77 0.91 10 485 1 0 1 0 3
2RRC_A - 0.70 0.50 1.00 5 226 0 0 0 0 5
2XKV_B 0.38 0.40 0.36 8 4538 23 7 7 9 12
2XQD_Y 0.81 0.78 0.84 21 2825 4 4 0 0 6
2XXA_G 0.10 0.10 0.11 4 5115 32 1 31 0 38
2Y9C_V - 0.59 0.54 0.65 13 2258 8 1 6 1 11
2YIE_Z - -0.01 0.00 0.00 0 1529 11 3 8 0 12
2YIE_X - 0.30 0.33 0.29 4 1364 10 2 8 0 8
3ADB_C - 0.78 0.71 0.87 27 4155 4 0 4 0 11
3AKZ_H 0.66 0.57 0.76 16 2680 6 0 5 1 12
3AM1_B - 0.76 0.63 0.92 22 3216 2 0 2 0 13
3AMU_B 0.67 0.59 0.76 16 2982 7 0 5 2 11
3IZF_C 0.68 0.56 0.83 30 6867 6 0 6 0 24
3J0L_7 - 0.30 0.29 0.33 5 1210 10 0 10 0 12
3J0L_g - -0.01 0.00 0.00 0 461 4 1 3 0 4
3J0L_a - 0.22 0.19 0.27 3 1117 8 1 7 0 13
3J0L_2 - 0.39 0.36 0.43 12 6188 18 2 14 2 21
3J0L_1 - 0.65 0.47 0.90 9 1215 2 0 1 1 10
3J0L_h - 0.48 0.37 0.62 16 6079 10 0 10 0 27
3J16_L 0.75 0.57 1.00 17 2758 0 0 0 0 13
3J20_1 0.69 0.70 0.70 16 2903 7 2 5 0 7
3J20_0 0.66 0.57 0.77 17 2828 6 1 4 1 13
3J2C_O - 0.43 0.33 0.55 21 10258 18 0 17 1 42
3J2L_3 0.56 0.43 0.72 23 7843 11 0 9 2 30
3NDB_M - 0.58 0.48 0.71 29 9139 13 1 11 1 32
3NKB_B - 0.40 0.31 0.53 8 2001 7 0 7 0 18
3NMU_E - 0.20 0.17 0.25 1 557 6 1 2 3 5
3O58_3 0.36 0.34 0.38 12 12371 29 5 15 9 23
3O58_2 0.80 0.68 0.93 26 7232 3 0 2 1 12
3OVB_D - 1.00 1.00 1.00 11 584 1 0 0 1 0
3OVS_D - 0.96 0.92 1.00 12 549 0 0 0 0 1
3P22_G - 0.96 0.92 1.00 11 730 0 0 0 0 1
3PDR_A 0.72 0.54 0.95 39 12839 4 0 2 2 33
3R4F_A - 0.96 0.92 1.00 23 2122 0 0 0 0 2
3R9X_C - 0.84 0.80 0.89 8 586 2 0 1 1 2
3RKF_A 0.76 0.59 1.00 20 2191 0 0 0 0 14
3SD1_A 0.62 0.50 0.78 21 3889 6 0 6 0 21
3SIU_F - 0.73 0.55 1.00 6 372 0 0 0 0 5
3SN2_B 0.64 0.42 1.00 5 401 0 0 0 0 7
3TRZ_Z - 0.91 0.83 1.00 5 205 1 0 0 1 1
3TS2_V - 1.00 1.00 1.00 5 271 0 0 0 0 0
3U4M_B - 0.38 0.32 0.46 12 3134 14 0 14 0 25
3UZL_B 0.45 0.38 0.54 14 3544 12 1 11 0 23
3VJR_D - 0.96 0.92 1.00 12 618 0 0 0 0 1
3W3S_B 0.44 0.38 0.52 15 4724 15 0 14 1 25
3ZEX_D 0.58 0.49 0.69 24 6986 11 0 11 0 25
3ZEX_E - 0.00 0.00 0.00 0 21897 51 2 46 3 77
4A4U_A - 1.00 1.00 1.00 9 222 0 0 0 0 0
4AOB_A 0.35 0.26 0.48 11 4348 13 1 11 1 31
4ATO_G - 0.73 0.70 0.78 7 519 2 1 1 0 3
4ENB_A 0.89 0.79 1.00 15 1260 0 0 0 0 4
4ENC_A 0.86 0.79 0.94 15 1310 1 1 0 0 4
4FNJ_A - 0.70 0.50 1.00 8 587 0 0 0 0 8
4FRG_B 0.81 0.66 1.00 21 3465 0 0 0 0 11
4FRN_A 0.20 0.14 0.31 5 5135 11 2 9 0 31
4HXH_A - 1.00 1.00 1.00 6 319 0 0 0 0 0

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