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

  1. Overview

  2. Performance Plots

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

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

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


Overview

Metric Sfold NanoFolder
MCC 0.491 > 0.272
Average MCC ± 95% Confidence Intervals 0.472 ± 0.095 > 0.326 ± 0.081
Sensitivity 0.411 > 0.284
Positive Predictive Value 0.594 > 0.269
Total TP 406 > 281
Total TN 155595 > 155234
Total FP 321 < 805
Total FP CONTRA 20 < 93
Total FP INCONS 257 < 670
Total FP COMP 44 > 42
Total FN 583 < 708
P-value 5.19332990918e-08

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Performance plots


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

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

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Performance of Sfold - scored higher in this pairwise comparison

1. Total counts & total scores for Sfold

Total Base Pair Counts
Total TP 406
Total TN 155595
Total FP 321
Total FP CONTRA 20
Total FP INCONS 257
Total FP COMP 44
Total FN 583
Total Scores
MCC 0.491
Average MCC ± 95% Confidence Intervals 0.472 ± 0.095
Sensitivity 0.411
Positive Predictive Value 0.594
Nr of predictions 26

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

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
2LC8_A 0.45 0.35 0.58 7 1528 5 0 5 0 13
2LKR_A - 0.89 0.79 1.00 31 6074 1 0 0 1 8
2M58_A - 0.29 0.18 0.50 3 1647 3 1 2 0 14
3J16_L 0.29 0.23 0.37 7 2756 12 0 12 0 23
3J20_1 0.73 0.70 0.76 16 2905 6 0 5 1 7
3J2L_3 0.62 0.53 0.74 28 7837 12 0 10 2 25
3J3D_C 0.36 0.25 0.54 7 2762 6 0 6 0 21
3J3E_8 0.06 0.06 0.08 2 7477 32 2 22 8 31
3J3E_7 0.60 0.50 0.73 27 7103 10 1 9 0 27
3J3F_8 0.35 0.33 0.38 12 12214 34 3 17 14 24
3J3F_7 0.69 0.60 0.79 30 7222 8 1 7 0 20
3J3V_B 0.51 0.37 0.72 21 6992 8 0 8 0 36
3U4M_B - 0.38 0.32 0.46 12 3134 14 0 14 0 25
3UZL_B 0.51 0.32 0.80 12 3555 3 2 1 0 25
3W3S_B 0.57 0.53 0.64 21 4720 13 1 11 1 19
3ZEX_D 0.74 0.63 0.86 31 6985 5 0 5 0 18
3ZEX_G - 0.78 0.68 0.91 50 16416 9 0 5 4 24
3ZEX_E - 0.00 0.00 0.00 0 21891 56 3 51 2 77
3ZND_W 0.20 0.22 0.19 5 2977 22 1 20 1 18
4A1C_3 0.69 0.57 0.84 31 7103 6 1 5 0 23
4A1C_2 0.16 0.15 0.17 5 11751 34 2 23 9 28
4AOB_A 0.50 0.40 0.63 17 4344 11 2 8 1 25
4ATO_G - 0.31 0.10 1.00 1 527 0 0 0 0 9
4ENC_A 0.51 0.26 1.00 5 1321 0 0 0 0 14
4JF2_A 0.78 0.61 1.00 19 2831 0 0 0 0 12
4JRC_A - 0.29 0.26 0.35 6 1523 11 0 11 0 17

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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.