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

  1. Overview

  2. Performance Plots

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

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

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


Overview

Metric McQFold NanoFolder
MCC 0.431 > 0.272
Average MCC ± 95% Confidence Intervals 0.475 ± 0.116 > 0.326 ± 0.081
Sensitivity 0.369 > 0.284
Positive Predictive Value 0.511 > 0.269
Total TP 365 > 281
Total TN 155564 > 155234
Total FP 389 < 805
Total FP CONTRA 30 < 93
Total FP INCONS 319 < 670
Total FP COMP 40 < 42
Total FN 624 < 708
P-value 5.23657817852e-08

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Performance plots


  1. Comparison of performance of McQFold and NanoFolder. 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 McQFold and NanoFolder).

  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 McQFold and NanoFolder).

  3. Comparison of average Matthews Correlation Coefficients (MCCs) for McQFold and NanoFolder. 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 McQFold and NanoFolder).

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Performance of McQFold - scored higher in this pairwise comparison

1. Total counts & total scores for McQFold

Total Base Pair Counts
Total TP 365
Total TN 155564
Total FP 389
Total FP CONTRA 30
Total FP INCONS 319
Total FP COMP 40
Total FN 624
Total Scores
MCC 0.431
Average MCC ± 95% Confidence Intervals 0.475 ± 0.116
Sensitivity 0.369
Positive Predictive Value 0.511
Nr of predictions 26

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2. Individual counts for McQFold [ 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
2LKR_A - 0.51 0.46 0.58 18 6074 13 2 11 0 21
2M58_A - 0.56 0.47 0.67 8 1641 4 1 3 0 9
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
3J2L_3 0.56 0.43 0.72 23 7843 11 0 9 2 30
3J3D_C 0.82 0.71 0.95 20 2754 1 0 1 0 8
3J3E_8 0.00 0.00 0.00 0 7479 36 3 21 12 33
3J3E_7 0.46 0.37 0.59 20 7106 14 1 13 0 34
3J3F_8 0.30 0.31 0.30 11 12209 38 4 22 12 25
3J3F_7 0.18 0.16 0.22 8 7223 29 1 28 0 42
3J3V_B 0.49 0.33 0.73 19 6995 7 0 7 0 38
3U4M_B - 0.73 0.57 0.95 21 3138 1 0 1 0 16
3UZL_B 0.45 0.41 0.52 15 3541 14 0 14 0 22
3W3S_B 0.44 0.38 0.54 15 4725 14 0 13 1 25
3ZEX_D 0.69 0.53 0.90 26 6992 3 1 2 0 23
3ZEX_G - 0.31 0.27 0.36 20 16416 38 1 34 3 54
3ZEX_E - 0.00 0.00 0.00 0 21894 53 4 47 2 77
3ZND_W 0.20 0.22 0.19 5 2977 23 1 20 2 18
4A1C_3 0.25 0.22 0.29 12 7099 29 1 28 0 42
4A1C_2 0.15 0.15 0.15 5 11748 33 5 23 5 28
4AOB_A 0.42 0.33 0.54 14 4345 13 1 11 1 28
4ATO_G - -0.01 0.00 0.00 0 523 5 0 5 0 10
4ENC_A 0.86 0.79 0.94 15 1310 1 1 0 0 4
4JF2_A 0.83 0.81 0.86 25 2821 4 3 1 0 6
4JRC_A - 0.83 0.70 1.00 16 1524 0 0 0 0 7

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Performance of NanoFolder - scored lower in this pairwise comparison

1. Total counts & total scores for NanoFolder

Total Base Pair Counts
Total TP 281
Total TN 155234
Total FP 805
Total FP CONTRA 93
Total FP INCONS 670
Total FP COMP 42
Total FN 708
Total Scores
MCC 0.272
Average MCC ± 95% Confidence Intervals 0.326 ± 0.081
Sensitivity 0.284
Positive Predictive Value 0.269
Nr of predictions 26

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

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
2LC8_A 0.52 0.55 0.50 11 1518 11 0 11 0 9
2LKR_A - 0.29 0.33 0.25 13 6054 38 8 30 0 26
2M58_A - 0.43 0.47 0.40 8 1633 12 4 8 0 9
3J16_L 0.36 0.37 0.37 11 2745 19 3 16 0 19
3J20_1 0.41 0.48 0.37 11 2896 19 5 14 0 12
3J2L_3 0.11 0.11 0.12 6 7824 46 3 42 1 47
3J3D_C 0.70 0.71 0.69 20 2746 9 2 7 0 8
3J3E_8 0.00 0.00 0.00 0 7466 47 6 31 10 33
3J3E_7 0.35 0.33 0.37 18 7091 31 1 30 0 36
3J3F_8 0.27 0.33 0.22 12 12192 54 9 33 12 24
3J3F_7 0.17 0.18 0.17 9 7208 43 3 40 0 41
3J3V_B 0.24 0.23 0.27 13 6973 35 1 34 0 44
3U4M_B - 0.61 0.57 0.66 21 3128 11 1 10 0 16
3UZL_B 0.36 0.35 0.38 13 3536 21 3 18 0 24
3W3S_B 0.17 0.18 0.18 7 4713 34 1 32 1 33
3ZEX_D 0.26 0.27 0.27 13 6972 36 1 35 0 36
3ZEX_G - 0.05 0.05 0.05 4 16393 76 5 69 2 70
3ZEX_E - 0.03 0.04 0.03 3 21859 85 9 74 2 74
3ZND_W 0.18 0.22 0.17 5 2973 29 6 19 4 18
4A1C_3 0.48 0.46 0.51 25 7091 24 2 22 0 29
4A1C_2 0.00 0.00 0.00 0 11728 61 12 41 8 33
4AOB_A 0.33 0.29 0.39 12 4340 20 1 18 1 30
4ATO_G - 0.61 0.70 0.54 7 515 6 2 4 0 3
4ENC_A 0.57 0.58 0.58 11 1307 9 0 8 1 8
4JF2_A 0.51 0.55 0.49 17 2815 18 5 13 0 14
4JRC_A - 0.48 0.48 0.50 11 1518 11 0 11 0 12

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