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

  1. Overview

  2. Performance Plots

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

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

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


Overview

Metric RNAsubopt Cylofold
MCC 0.647 > 0.607
Average MCC ± 95% Confidence Intervals 0.686 ± 0.065 > 0.658 ± 0.061
Sensitivity 0.576 > 0.517
Positive Predictive Value 0.733 > 0.718
Total TP 1103 > 990
Total TN 222553 < 222679
Total FP 468 > 437
Total FP CONTRA 38 < 44
Total FP INCONS 363 > 344
Total FP COMP 67 > 49
Total FN 812 < 925
P-value 3.56938820447e-08

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Performance plots


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

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

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

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

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Performance of RNAsubopt - scored higher in this pairwise comparison

1. Total counts & total scores for RNAsubopt

Total Base Pair Counts
Total TP 1103
Total TN 222553
Total FP 468
Total FP CONTRA 38
Total FP INCONS 363
Total FP COMP 67
Total FN 812
Total Scores
MCC 0.647
Average MCC ± 95% Confidence Intervals 0.686 ± 0.065
Sensitivity 0.576
Positive Predictive Value 0.733
Nr of predictions 75

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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
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
2KXM_A - 0.89 0.80 1.00 8 343 0 0 0 0 2
2KZL_A - 0.86 0.74 1.00 14 1471 0 0 0 0 5
2L1F_B 0.94 0.88 1.00 22 2123 0 0 0 0 3
2L1F_A 0.93 0.88 1.00 21 2059 0 0 0 0 3
2L2K_A - 0.94 0.89 1.00 17 844 0 0 0 0 2
2L3C_B - 0.87 0.76 1.00 13 548 0 0 0 0 4
2L3E_A - 0.96 0.92 1.00 12 583 1 0 0 1 1
2L3J_B 0.94 0.88 1.00 30 2455 0 0 0 0 4
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 -0.01 0.00 0.00 0 1525 15 2 13 0 20
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 - 0.81 0.77 0.86 30 6070 9 0 5 4 9
2LWK_A - 0.83 0.77 0.91 10 485 1 0 1 0 3
2RRC_A - 0.83 0.70 1.00 7 224 0 0 0 0 3
2XKV_B 0.51 0.50 0.53 10 4541 23 0 9 14 10
2XQD_Y 0.75 0.67 0.86 18 2829 3 0 3 0 9
2XXA_G 0.47 0.43 0.53 18 5117 16 1 15 0 24
2Y9C_V - 0.66 0.63 0.71 15 2257 8 1 5 2 9
2YIE_Z - -0.01 0.00 0.00 0 1525 15 3 12 0 12
2YIE_X - 0.82 0.67 1.00 8 1370 3 0 0 3 4
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
3IZF_C 0.70 0.61 0.80 33 6862 8 1 7 0 21
3J0L_7 - -0.01 0.00 0.00 0 1213 12 0 12 0 17
3J0L_g - -0.01 0.00 0.00 0 460 5 1 4 0 4
3J0L_a - 0.35 0.31 0.42 5 1116 7 1 6 0 11
3J0L_2 - 0.25 0.24 0.28 8 6187 25 0 21 4 25
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 0.41 0.37 0.48 11 2752 12 1 11 0 19
3J20_1 0.96 0.91 1.00 21 2905 2 0 0 2 2
3J20_0 0.43 0.40 0.48 12 2825 14 0 13 1 18
3J2C_O - 0.56 0.49 0.65 31 10248 17 1 16 0 32
3J2L_3 0.61 0.53 0.72 28 7836 13 0 11 2 25
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
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 34 2 21 11 23
3O58_2 0.72 0.74 0.70 28 7220 13 4 8 1 10
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 0.75 0.63 0.90 45 12830 7 1 4 2 27
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 0.61 0.50 0.75 21 3888 7 1 6 0 21
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 0.48 0.38 0.61 14 3547 9 0 9 0 23
3VJR_D - 0.96 0.92 1.00 12 618 0 0 0 0 1
3W3S_B 0.87 0.78 0.97 31 4721 2 0 1 1 9
3ZEX_D 0.80 0.69 0.92 34 6984 3 0 3 0 15
3ZEX_E - 0.00 0.00 0.00 0 21893 54 4 48 2 77
4A4U_A - 1.00 1.00 1.00 9 222 0 0 0 0 0
4AOB_A 0.52 0.43 0.64 18 4343 11 2 8 1 24
4ATO_G - 0.30 0.30 0.33 3 519 6 2 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 0 7 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 0.51 0.44 0.59 16 5124 11 3 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.