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

  1. Overview

  2. Performance Plots

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

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

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


Overview

Metric RNASLOpt NanoFolder
MCC 0.627 > 0.394
Average MCC ± 95% Confidence Intervals 0.709 ± 0.132 > 0.582 ± 0.147
Sensitivity 0.592 > 0.485
Positive Predictive Value 0.673 > 0.334
Total TP 299 > 245
Total TN 40785 > 40496
Total FP 182 < 536
Total FP CONTRA 48 < 162
Total FP INCONS 97 < 326
Total FP COMP 37 < 48
Total FN 206 < 260
P-value 5.06544643719e-08

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Performance plots


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

  2. Comparison of performance of RNASLOpt 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 RNASLOpt and NanoFolder).

  3. 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 RNASLOpt and NanoFolder).

  4. 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 RNASLOpt and NanoFolder).

  5. Comparison of average Matthews Correlation Coefficients (MCCs) for RNASLOpt 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 RNASLOpt and NanoFolder).

  6. Comparison of average Matthews Correlation Coefficients (MCCs) for RNASLOpt 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 RNASLOpt and NanoFolder).

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Performance of RNASLOpt - scored higher in this pairwise comparison

1. Total counts & total scores for RNASLOpt

Total Base Pair Counts
Total TP 299
Total TN 40785
Total FP 182
Total FP CONTRA 48
Total FP INCONS 97
Total FP COMP 37
Total FN 206
Total Scores
MCC 0.627
Average MCC ± 95% Confidence Intervals 0.709 ± 0.132
Sensitivity 0.592
Positive Predictive Value 0.673
Nr of predictions 25

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

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
2LC8_A 0.48 0.39 0.64 7 517 4 0 4 0 11
2LDL_A - 1.00 1.00 1.00 9 131 1 0 0 1 0
2LI4_A - 1.00 1.00 1.00 14 175 0 0 0 0 0
2LK3_A - 1.00 1.00 1.00 9 91 0 0 0 0 0
2LKR_A - 0.70 0.69 0.71 20 2412 13 1 7 5 9
2LQZ_A - 1.00 1.00 1.00 8 124 2 0 0 2 0
2LWK_A - 0.95 0.91 1.00 10 197 1 0 0 1 1
3J16_L 0.63 0.57 0.71 12 1142 5 0 5 0 9
3J20_1 1.00 1.00 1.00 20 1092 1 0 0 1 0
3J2L_3 0.71 0.68 0.74 23 2989 11 0 8 3 11
3SN2_B 0.95 0.92 1.00 11 143 0 0 0 0 1
3U4M_B - 0.49 0.55 0.46 12 1250 14 3 11 0 10
3UZL_B 0.55 0.50 0.62 8 1280 9 1 4 4 8
3VJR_D - 1.00 1.00 1.00 12 239 0 0 0 0 0
3W3S_B 0.90 0.85 0.97 28 1960 2 0 1 1 5
3ZEX_G - 0.00 0.00 0.00 0 6507 0 0 0 0 45
3ZEX_D 0.86 0.74 1.00 26 2770 4 0 0 4 9
3ZEX_E - 0.00 0.00 0.00 0 8254 55 20 30 5 34
4A1C_2 0.30 0.40 0.24 8 4482 35 13 13 9 12
4A1C_3 0.79 0.73 0.87 27 2732 5 0 4 1 10
4A4U_A - 1.00 1.00 1.00 9 96 0 0 0 0 0
4AOB_A 0.31 0.28 0.38 8 1416 13 3 10 0 21
4ATO_G - 0.36 0.43 0.33 3 211 6 6 0 0 4
4ENC_A 0.73 0.60 0.90 9 486 1 1 0 0 6
4HXH_A - 1.00 1.00 1.00 6 89 0 0 0 0 0

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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 245
Total TN 40496
Total FP 536
Total FP CONTRA 162
Total FP INCONS 326
Total FP COMP 48
Total FN 260
Total Scores
MCC 0.394
Average MCC ± 95% Confidence Intervals 0.582 ± 0.147
Sensitivity 0.485
Positive Predictive Value 0.334
Nr of predictions 25

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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 0.54 0.61 0.50 11 506 11 1 10 0 7
2LDL_A - 1.00 1.00 1.00 9 131 1 0 0 1 0
2LI4_A - 1.00 1.00 1.00 14 175 0 0 0 0 0
2LK3_A - 1.00 1.00 1.00 9 91 0 0 0 0 0
2LKR_A - 0.26 0.34 0.21 10 2392 41 15 23 3 19
2LQZ_A - 1.00 1.00 1.00 8 124 3 0 0 3 0
2LWK_A - 0.95 0.91 1.00 10 197 2 0 0 2 1
3J16_L 0.43 0.52 0.37 11 1129 19 8 11 0 10
3J20_1 0.42 0.50 0.37 10 1085 20 5 12 3 10
3J2L_3 0.13 0.18 0.12 6 2969 46 14 31 1 28
3SN2_B 0.95 0.92 1.00 11 143 0 0 0 0 1
3U4M_B - 0.77 0.91 0.67 20 1246 12 6 4 2 2
3UZL_B 0.41 0.56 0.31 9 1264 25 10 10 5 7
3VJR_D - 1.00 1.00 1.00 12 239 0 0 0 0 0
3W3S_B 0.18 0.21 0.18 7 1949 34 2 31 1 26
3ZEX_G - 0.04 0.07 0.04 3 6431 77 18 55 4 42
3ZEX_D 0.30 0.37 0.27 13 2747 36 10 26 0 22
3ZEX_E - 0.03 0.06 0.02 2 8222 86 31 49 6 32
4A1C_2 -0.01 0.00 0.00 0 4469 61 18 29 14 20
4A1C_3 0.58 0.68 0.51 25 2714 24 9 15 0 12
4A4U_A - 1.00 1.00 1.00 9 96 0 0 0 0 0
4AOB_A 0.39 0.41 0.39 12 1406 20 4 15 1 17
4ATO_G - 0.72 1.00 0.54 7 207 6 6 0 0 0
4ENC_A 0.66 0.73 0.61 11 478 9 2 5 2 4
4HXH_A - 0.80 1.00 0.67 6 86 3 3 0 0 0

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Matthews Correlation Coeffient, Sensitivity and Positive Predictive Value have been calculated based on the paper by Gardener & Giegerich, 2004.