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 0.372 > 0.272
Average MCC ± 95% Confidence Intervals 0.382 ± 0.091 > 0.326 ± 0.081
Sensitivity 0.303 > 0.284
Positive Predictive Value 0.465 > 0.269
Total TP 300 > 281
Total TN 155633 > 155234
Total FP 384 < 805
Total FP CONTRA 22 < 93
Total FP INCONS 323 < 670
Total FP COMP 39 < 42
Total FN 689 < 708
P-value 5.10776592382e-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. 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).

  3. 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 300
Total TN 155633
Total FP 384
Total FP CONTRA 22
Total FP INCONS 323
Total FP COMP 39
Total FN 689
Total Scores
MCC 0.372
Average MCC ± 95% Confidence Intervals 0.382 ± 0.091
Sensitivity 0.303
Positive Predictive Value 0.465
Nr of predictions 26

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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
2LKR_A - 0.31 0.28 0.34 11 6073 21 3 18 0 28
2M58_A - -0.01 0.00 0.00 0 1647 6 0 6 0 17
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
3J3D_C 0.44 0.39 0.50 11 2753 11 1 10 0 17
3J3E_8 0.07 0.06 0.09 2 7481 32 2 18 12 31
3J3E_7 0.48 0.35 0.66 19 7111 10 0 10 0 35
3J3F_8 0.33 0.31 0.37 11 12216 27 4 15 8 25
3J3F_7 0.21 0.18 0.26 9 7226 25 0 25 0 41
3J3V_B 0.17 0.12 0.24 7 6992 22 1 21 0 50
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
3W3S_B 0.67 0.58 0.79 23 4724 7 0 6 1 17
3ZEX_D 0.55 0.45 0.69 22 6989 10 0 10 0 27
3ZEX_G - 0.30 0.23 0.39 17 16427 27 2 25 0 57
3ZEX_E - 0.08 0.06 0.11 5 21900 40 1 39 0 72
3ZND_W 0.41 0.39 0.43 9 2982 14 2 10 2 14
4A1C_3 0.26 0.22 0.32 12 7103 25 2 23 0 42
4A1C_2 0.28 0.24 0.33 8 11757 28 0 16 12 25
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
4JF2_A 0.66 0.52 0.84 16 2831 3 0 3 0 15
4JRC_A - 0.29 0.22 0.42 5 1528 7 0 7 0 18

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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.