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

  1. Overview

  2. Performance Plots

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

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

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


Overview

Metric RNAwolf NanoFolder
MCC 0.360 > 0.272
Average MCC ± 95% Confidence Intervals 0.393 ± 0.098 > 0.326 ± 0.081
Sensitivity 0.333 > 0.284
Positive Predictive Value 0.398 > 0.269
Total TP 329 > 281
Total TN 155451 > 155234
Total FP 541 < 805
Total FP CONTRA 63 < 93
Total FP INCONS 435 < 670
Total FP COMP 43 > 42
Total FN 660 < 708
P-value 3.56938820447e-08

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Performance plots


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

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

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Performance of RNAwolf - scored higher in this pairwise comparison

1. Total counts & total scores for RNAwolf

Total Base Pair Counts
Total TP 329
Total TN 155451
Total FP 541
Total FP CONTRA 63
Total FP INCONS 435
Total FP COMP 43
Total FN 660
Total Scores
MCC 0.360
Average MCC ± 95% Confidence Intervals 0.393 ± 0.098
Sensitivity 0.333
Positive Predictive Value 0.398
Nr of predictions 26

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

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
2LC8_A 0.52 0.50 0.56 10 1522 8 0 8 0 10
2LKR_A - 0.81 0.74 0.88 29 6072 8 0 4 4 10
2M58_A - 0.51 0.47 0.57 8 1639 6 3 3 0 9
3J16_L 0.45 0.40 0.52 12 2752 11 0 11 0 18
3J20_1 0.46 0.52 0.41 12 2897 17 6 11 0 11
3J2L_3 0.55 0.49 0.62 26 7833 18 0 16 2 27
3J3D_C 0.79 0.75 0.84 21 2750 5 2 2 1 7
3J3E_8 0.00 0.00 0.00 0 7470 42 4 29 9 33
3J3E_7 0.41 0.35 0.49 19 7101 20 1 19 0 35
3J3F_8 0.23 0.25 0.21 9 12204 45 5 28 12 27
3J3F_7 0.21 0.20 0.23 10 7216 34 2 32 0 40
3J3V_B 0.43 0.37 0.51 21 6980 20 2 18 0 36
3U4M_B - 0.44 0.38 0.52 14 3133 13 0 13 0 23
3UZL_B 0.72 0.59 0.88 22 3545 4 1 2 1 15
3W3S_B 0.68 0.63 0.74 25 4719 10 0 9 1 15
3ZEX_D 0.20 0.18 0.22 9 6980 32 3 29 0 40
3ZEX_G - 0.20 0.18 0.23 13 16415 43 6 37 0 61
3ZEX_E - 0.00 0.00 0.00 0 21876 69 10 59 0 77
3ZND_W 0.50 0.48 0.52 11 2982 13 0 10 3 12
4A1C_3 0.23 0.20 0.28 11 7101 28 2 26 0 43
4A1C_2 0.08 0.09 0.08 3 11741 46 10 27 9 30
4AOB_A 0.23 0.19 0.30 8 4344 20 1 18 1 34
4ATO_G - -0.02 0.00 0.00 0 520 8 1 7 0 10
4ENC_A 0.34 0.32 0.38 6 1310 10 1 9 0 13
4JF2_A 0.67 0.58 0.78 18 2827 5 3 2 0 13
4JRC_A - 0.58 0.52 0.67 12 1522 6 0 6 0 11

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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.