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

  1. Overview

  2. Performance Plots

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

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

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


Overview

Metric HotKnots NanoFolder
MCC 0.499 > 0.272
Average MCC ± 95% Confidence Intervals 0.499 ± 0.101 > 0.326 ± 0.081
Sensitivity 0.443 > 0.284
Positive Predictive Value 0.569 > 0.269
Total TP 438 > 281
Total TN 155508 > 155234
Total FP 384 < 805
Total FP CONTRA 31 < 93
Total FP INCONS 301 < 670
Total FP COMP 52 > 42
Total FN 551 < 708
P-value 5.23657817852e-08

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Performance plots


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

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

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Performance of HotKnots - scored higher in this pairwise comparison

1. Total counts & total scores for HotKnots

Total Base Pair Counts
Total TP 438
Total TN 155508
Total FP 384
Total FP CONTRA 31
Total FP INCONS 301
Total FP COMP 52
Total FN 551
Total Scores
MCC 0.499
Average MCC ± 95% Confidence Intervals 0.499 ± 0.101
Sensitivity 0.443
Positive Predictive Value 0.569
Nr of predictions 26

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2. Individual counts for HotKnots [ 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 - 0.93 0.87 1.00 34 6071 3 0 0 3 5
2M58_A - 0.34 0.29 0.42 5 1641 7 1 6 0 12
3J16_L 0.26 0.23 0.30 7 2752 16 1 15 0 23
3J20_1 0.73 0.70 0.76 16 2905 7 0 5 2 7
3J2L_3 0.62 0.53 0.74 28 7837 12 0 10 2 25
3J3D_C 0.28 0.25 0.32 7 2753 15 1 14 0 21
3J3E_8 0.10 0.09 0.11 3 7476 33 2 22 9 30
3J3E_7 0.59 0.50 0.71 27 7102 11 1 10 0 27
3J3F_8 0.30 0.31 0.30 11 12209 40 3 23 14 25
3J3F_7 0.73 0.64 0.84 32 7222 7 0 6 1 18
3J3V_B 0.54 0.44 0.68 25 6984 12 1 11 0 32
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
3W3S_B 0.55 0.50 0.61 20 4720 14 1 12 1 20
3ZEX_D 0.78 0.67 0.92 33 6985 3 0 3 0 16
3ZEX_G - 0.66 0.57 0.76 42 16416 18 0 13 5 32
3ZEX_E - 0.00 0.00 0.00 0 21893 54 4 48 2 77
3ZND_W 0.20 0.22 0.19 5 2977 22 1 20 1 18
4A1C_3 0.70 0.59 0.82 32 7101 7 1 6 0 22
4A1C_2 0.14 0.15 0.14 5 11745 42 6 25 11 28
4AOB_A 0.50 0.40 0.63 17 4344 11 2 8 1 25
4ATO_G - 0.61 0.70 0.54 7 515 6 2 4 0 3
4ENC_A 0.86 0.79 0.94 15 1310 1 1 0 0 4
4JF2_A 0.81 0.77 0.86 24 2822 4 3 1 0 7
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.