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

  1. Overview

  2. Performance Plots

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

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

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


Overview

Metric IPknot Cylofold
MCC 0.642 > 0.533
Average MCC ± 95% Confidence Intervals 0.677 ± 0.085 > 0.607 ± 0.087
Sensitivity 0.540 > 0.447
Positive Predictive Value 0.771 > 0.644
Total TP 571 > 473
Total TN 123759 < 123765
Total FP 189 < 277
Total FP CONTRA 17 < 22
Total FP INCONS 153 < 240
Total FP COMP 19 > 15
Total FN 487 < 585
P-value 3.56938820447e-08

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Performance plots


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

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

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

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

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Performance of IPknot - scored higher in this pairwise comparison

1. Total counts & total scores for IPknot

Total Base Pair Counts
Total TP 571
Total TN 123759
Total FP 189
Total FP CONTRA 17
Total FP INCONS 153
Total FP COMP 19
Total FN 487
Total Scores
MCC 0.642
Average MCC ± 95% Confidence Intervals 0.677 ± 0.085
Sensitivity 0.540
Positive Predictive Value 0.771
Nr of predictions 42

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

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
2LC8_A 0.40 0.30 0.55 6 1529 5 1 4 0 14
2LDL_A - 0.90 0.82 1.00 9 342 0 0 0 0 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 - 0.84 0.77 0.91 30 6072 4 0 3 1 9
2LWK_A - 0.83 0.77 0.91 10 485 1 0 1 0 3
2YIE_Z - 0.43 0.42 0.45 5 1529 6 3 3 0 7
2YIE_X - 0.67 0.58 0.78 7 1369 3 1 1 1 5
3AMU_B 0.70 0.59 0.84 16 2984 5 0 3 2 11
3J0L_h - 0.78 0.60 1.00 26 6079 2 0 0 2 17
3J0L_a - 0.21 0.19 0.25 3 1116 9 1 8 0 13
3J0L_1 - 0.76 0.63 0.92 12 1212 2 0 1 1 7
3J0L_7 - -0.01 0.00 0.00 0 1218 7 0 7 0 17
3J0L_g - -0.01 0.00 0.00 0 461 4 1 3 0 4
3J0L_2 - 0.39 0.36 0.43 12 6188 18 2 14 2 21
3J16_L 0.75 0.57 1.00 17 2758 0 0 0 0 13
3J20_1 0.96 0.91 1.00 21 2905 0 0 0 0 2
3J20_0 0.45 0.40 0.52 12 2827 12 0 11 1 18
3J2C_O - 0.82 0.67 1.00 42 10254 1 0 0 1 21
3J2L_3 0.66 0.55 0.81 29 7839 9 0 7 2 24
3RKF_A 0.76 0.59 1.00 20 2191 0 0 0 0 14
3SD1_A 0.61 0.48 0.80 20 3891 5 0 5 0 22
3SIU_F - 0.73 0.55 1.00 6 372 0 0 0 0 5
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 - 0.68 0.54 0.87 20 3137 3 1 2 0 17
3UZL_B 0.72 0.54 0.95 20 3549 1 0 1 0 17
3VJR_D - 0.96 0.92 1.00 12 618 0 0 0 0 1
3W3S_B 0.85 0.75 0.97 30 4722 2 0 1 1 10
3ZEX_D 0.72 0.63 0.82 31 6983 7 0 7 0 18
3ZEX_E - 0.00 0.00 0.00 0 21894 53 4 47 2 77
4A4U_A - 1.00 1.00 1.00 9 222 0 0 0 0 0
4AOB_A 0.42 0.33 0.54 14 4345 13 1 11 1 28
4ATO_G - 0.41 0.40 0.44 4 519 6 0 5 1 6
4ENB_A 0.76 0.58 1.00 11 1264 0 0 0 0 8
4ENC_A 0.52 0.42 0.67 8 1314 4 0 4 0 11
4FNJ_A - 0.79 0.63 1.00 10 585 0 0 0 0 6
4FRG_B 0.69 0.56 0.86 18 3465 3 1 2 0 14
4FRN_A 0.69 0.56 0.87 20 5128 3 1 2 0 16
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 473
Total TN 123765
Total FP 277
Total FP CONTRA 22
Total FP INCONS 240
Total FP COMP 15
Total FN 585
Total Scores
MCC 0.533
Average MCC ± 95% Confidence Intervals 0.607 ± 0.087
Sensitivity 0.447
Positive Predictive Value 0.644
Nr of predictions 42

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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
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
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
3AMU_B 0.67 0.59 0.76 16 2982 7 0 5 2 11
3J0L_h - 0.48 0.37 0.62 16 6079 10 0 10 0 27
3J0L_a - 0.22 0.19 0.27 3 1117 8 1 7 0 13
3J0L_1 - 0.65 0.47 0.90 9 1215 2 0 1 1 10
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_2 - 0.39 0.36 0.43 12 6188 18 2 14 2 21
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
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.