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

  1. Overview

  2. Performance Plots

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

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

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


Overview

Metric RNAsubopt NanoFolder
MCC 0.489 > 0.272
Average MCC ± 95% Confidence Intervals 0.476 ± 0.106 > 0.326 ± 0.081
Sensitivity 0.433 > 0.284
Positive Predictive Value 0.559 > 0.269
Total TP 428 > 281
Total TN 155512 > 155234
Total FP 388 < 805
Total FP CONTRA 33 < 93
Total FP INCONS 305 < 670
Total FP COMP 50 > 42
Total FN 561 < 708
P-value 5.02343278931e-08

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Performance plots


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

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

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Performance of RNAsubopt - scored higher in this pairwise comparison

1. Total counts & total scores for RNAsubopt

Total Base Pair Counts
Total TP 428
Total TN 155512
Total FP 388
Total FP CONTRA 33
Total FP INCONS 305
Total FP COMP 50
Total FN 561
Total Scores
MCC 0.489
Average MCC ± 95% Confidence Intervals 0.476 ± 0.106
Sensitivity 0.433
Positive Predictive Value 0.559
Nr of predictions 26

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

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
2LC8_A -0.01 0.00 0.00 0 1525 15 2 13 0 20
2LKR_A - 0.81 0.77 0.86 30 6070 9 0 5 4 9
2M58_A - 0.51 0.41 0.64 7 1642 4 1 3 0 10
3J16_L 0.41 0.37 0.48 11 2752 12 1 11 0 19
3J20_1 0.96 0.91 1.00 21 2905 2 0 0 2 2
3J2L_3 0.61 0.53 0.72 28 7836 13 0 11 2 25
3J3D_C 0.61 0.57 0.67 16 2751 8 0 8 0 12
3J3E_8 0.16 0.15 0.18 5 7475 32 2 21 9 28
3J3E_7 0.59 0.50 0.69 27 7101 12 1 11 0 27
3J3F_8 0.33 0.33 0.32 12 12209 39 4 21 14 24
3J3F_7 0.80 0.70 0.92 35 7222 4 0 3 1 15
3J3V_B 0.54 0.42 0.71 24 6987 10 1 9 0 33
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 0.87 0.78 0.97 31 4721 2 0 1 1 9
3ZEX_D 0.80 0.69 0.92 34 6984 3 0 3 0 15
3ZEX_G - 0.46 0.42 0.52 31 16411 32 3 26 3 43
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 23 1 20 2 18
4A1C_3 0.70 0.59 0.82 32 7101 7 1 6 0 22
4A1C_2 0.14 0.15 0.13 5 11742 43 5 29 9 28
4AOB_A 0.52 0.43 0.64 18 4343 11 2 8 1 24
4ATO_G - 0.30 0.30 0.33 3 519 6 2 4 0 7
4ENC_A 0.32 0.26 0.42 5 1314 7 0 7 0 14
4JF2_A 0.61 0.52 0.73 16 2828 6 3 3 0 15
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.