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

  1. Overview

  2. Performance Plots

  3. Performance of Vsfold4 - scored higher in this pairwise comparison

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

  5. Compile and download dataset for Vsfold4 & NanoFolder [.zip] - may take several seconds...


Overview

Metric Vsfold4 NanoFolder
MCC 0.484 > 0.339
Average MCC ± 95% Confidence Intervals 0.609 ± 0.126 > 0.536 ± 0.139
Sensitivity 0.405 > 0.350
Positive Predictive Value 0.585 > 0.338
Total TP 299 > 258
Total TN 106338 > 106086
Total FP 230 < 523
Total FP CONTRA 13 < 60
Total FP INCONS 199 < 445
Total FP COMP 18 = 18
Total FN 439 < 480
P-value 5.19332990918e-08

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Performance plots


  1. Comparison of performance of Vsfold4 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 Vsfold4 and NanoFolder).

  2. Comparison of performance of Vsfold4 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 Vsfold4 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 Vsfold4 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 Vsfold4 and NanoFolder).

  5. Comparison of average Matthews Correlation Coefficients (MCCs) for Vsfold4 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 Vsfold4 and NanoFolder).

  6. Comparison of average Matthews Correlation Coefficients (MCCs) for Vsfold4 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 Vsfold4 and NanoFolder).

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Performance of Vsfold4 - scored higher in this pairwise comparison

1. Total counts & total scores for Vsfold4

Total Base Pair Counts
Total TP 299
Total TN 106338
Total FP 230
Total FP CONTRA 13
Total FP INCONS 199
Total FP COMP 18
Total FN 439
Total Scores
MCC 0.484
Average MCC ± 95% Confidence Intervals 0.609 ± 0.126
Sensitivity 0.405
Positive Predictive Value 0.585
Nr of predictions 25

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2. Individual counts for Vsfold4 [ 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 1527 13 0 13 0 20
2LDL_A - 0.85 0.73 1.00 8 343 1 0 0 1 3
2LI4_A - 0.93 0.88 1.00 14 482 0 0 0 0 2
2LK3_A - 0.95 0.90 1.00 9 267 0 0 0 0 1
2LKR_A - 0.31 0.28 0.34 11 6073 21 3 18 0 28
2LQZ_A - 0.85 0.82 0.90 9 341 1 1 0 0 2
2LWK_A - 0.83 0.77 0.91 10 485 1 0 1 0 3
3J16_L 0.82 0.67 1.00 20 2755 0 0 0 0 10
3J20_1 0.71 0.70 0.73 16 2904 6 0 6 0 7
3J2L_3 0.57 0.45 0.73 24 7842 12 1 8 3 29
3SN2_B 0.96 0.92 1.00 11 395 0 0 0 0 1
3U4M_B - 0.38 0.32 0.46 12 3134 14 0 14 0 25
3UZL_B 0.53 0.41 0.71 15 3549 6 1 5 0 22
3VJR_D - 0.96 0.92 1.00 12 618 0 0 0 0 1
3W3S_B 0.67 0.58 0.79 23 4724 7 0 6 1 17
3ZEX_G - 0.30 0.23 0.39 17 16427 27 2 25 0 57
3ZEX_D 0.55 0.45 0.69 22 6989 10 0 10 0 27
3ZEX_E - 0.08 0.06 0.11 5 21900 40 1 39 0 72
4A1C_2 0.28 0.24 0.33 8 11757 28 0 16 12 25
4A1C_3 0.26 0.22 0.32 12 7103 25 2 23 0 42
4A4U_A - 1.00 1.00 1.00 9 222 0 0 0 0 0
4AOB_A 0.42 0.33 0.54 14 4345 13 1 11 1 28
4ATO_G - 0.32 0.30 0.38 3 520 5 1 4 0 7
4ENC_A 0.69 0.47 1.00 9 1317 0 0 0 0 10
4HXH_A - 1.00 1.00 1.00 6 319 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 258
Total TN 106086
Total FP 523
Total FP CONTRA 60
Total FP INCONS 445
Total FP COMP 18
Total FN 480
Total Scores
MCC 0.339
Average MCC ± 95% Confidence Intervals 0.536 ± 0.139
Sensitivity 0.350
Positive Predictive Value 0.338
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 0.52 0.55 0.50 11 1518 11 0 11 0 9
2LDL_A - 0.90 0.82 1.00 9 342 1 0 0 1 2
2LI4_A - 0.93 0.88 1.00 14 482 0 0 0 0 2
2LK3_A - 0.95 0.90 1.00 9 267 0 0 0 0 1
2LKR_A - 0.29 0.33 0.25 13 6054 38 8 30 0 26
2LQZ_A - 0.91 0.91 0.91 10 340 1 1 0 0 1
2LWK_A - 0.83 0.77 0.91 10 485 2 0 1 1 3
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
3SN2_B 0.96 0.92 1.00 11 395 0 0 0 0 1
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
3VJR_D - 0.96 0.92 1.00 12 618 0 0 0 0 1
3W3S_B 0.17 0.18 0.18 7 4713 34 1 32 1 33
3ZEX_G - 0.05 0.05 0.05 4 16393 76 5 69 2 70
3ZEX_D 0.26 0.27 0.27 13 6972 36 1 35 0 36
3ZEX_E - 0.03 0.04 0.03 3 21859 85 9 74 2 74
4A1C_2 0.00 0.00 0.00 0 11728 61 12 41 8 33
4A1C_3 0.48 0.46 0.51 25 7091 24 2 22 0 29
4A4U_A - 1.00 1.00 1.00 9 222 0 0 0 0 0
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
4HXH_A - 0.81 1.00 0.67 6 316 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.