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

  1. Overview

  2. Performance Plots

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

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

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


Overview

Metric Contrafold NanoFolder
MCC 0.483 > 0.272
Average MCC ± 95% Confidence Intervals 0.494 ± 0.109 > 0.326 ± 0.081
Sensitivity 0.423 > 0.284
Positive Predictive Value 0.557 > 0.269
Total TP 418 > 281
Total TN 155528 > 155234
Total FP 385 < 805
Total FP CONTRA 26 < 93
Total FP INCONS 306 < 670
Total FP COMP 53 > 42
Total FN 571 < 708
P-value 5.10776592382e-08

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Performance plots


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

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

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Performance of Contrafold - scored higher in this pairwise comparison

1. Total counts & total scores for Contrafold

Total Base Pair Counts
Total TP 418
Total TN 155528
Total FP 385
Total FP CONTRA 26
Total FP INCONS 306
Total FP COMP 53
Total FN 571
Total Scores
MCC 0.483
Average MCC ± 95% Confidence Intervals 0.494 ± 0.109
Sensitivity 0.423
Positive Predictive Value 0.557
Nr of predictions 26

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2. Individual counts for Contrafold [ 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 2 3 0 13
2LKR_A - 0.84 0.79 0.89 31 6070 6 0 4 2 8
2M58_A - -0.01 0.00 0.00 0 1640 13 0 13 0 17
3J16_L 0.46 0.40 0.55 12 2753 10 1 9 0 18
3J20_1 0.96 0.91 1.00 21 2905 4 0 0 4 2
3J2L_3 0.56 0.49 0.65 26 7835 16 0 14 2 27
3J3D_C 0.67 0.61 0.74 17 2752 6 0 6 0 11
3J3E_8 0.07 0.06 0.10 2 7483 32 1 17 14 31
3J3E_7 0.45 0.37 0.56 20 7104 16 1 15 0 34
3J3F_8 0.31 0.33 0.29 12 12205 41 4 25 12 24
3J3F_7 0.68 0.62 0.76 31 7219 11 0 10 1 19
3J3V_B 0.48 0.39 0.61 22 6985 14 1 13 0 35
3U4M_B - 0.59 0.46 0.77 17 3138 5 0 5 0 20
3UZL_B 0.70 0.54 0.91 20 3548 2 0 2 0 17
3W3S_B 0.89 0.80 1.00 32 4721 1 0 0 1 8
3ZEX_D 0.73 0.67 0.80 33 6980 8 1 7 0 16
3ZEX_G - 0.28 0.24 0.33 18 16416 41 2 35 4 56
3ZEX_E - 0.00 0.00 0.00 0 21889 58 4 52 2 77
3ZND_W 0.19 0.22 0.18 5 2975 25 1 22 2 18
4A1C_3 0.66 0.57 0.78 31 7100 9 1 8 0 23
4A1C_2 0.16 0.15 0.17 5 11751 33 5 20 8 28
4AOB_A 0.44 0.36 0.56 15 4344 13 1 11 1 27
4ATO_G - 0.44 0.40 0.50 4 520 4 0 4 0 6
4ENC_A 0.73 0.58 0.92 11 1314 1 1 0 0 8
4JF2_A 0.78 0.61 1.00 19 2831 0 0 0 0 12
4JRC_A - 0.34 0.30 0.39 7 1522 11 0 11 0 16

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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.