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

  1. Overview

  2. Performance Plots

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

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

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


Overview

Metric HotKnots NanoFolder
MCC 0.692 > 0.394
Average MCC ± 95% Confidence Intervals 0.763 ± 0.118 > 0.582 ± 0.147
Sensitivity 0.717 > 0.485
Positive Predictive Value 0.675 > 0.334
Total TP 362 > 245
Total TN 40693 > 40496
Total FP 245 < 536
Total FP CONTRA 51 < 162
Total FP INCONS 123 < 326
Total FP COMP 71 > 48
Total FN 143 < 260
P-value 5.23657817852e-08

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Performance plots


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

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

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Performance of HotKnots - scored higher in this pairwise comparison

1. Total counts & total scores for HotKnots

Total Base Pair Counts
Total TP 362
Total TN 40693
Total FP 245
Total FP CONTRA 51
Total FP INCONS 123
Total FP COMP 71
Total FN 143
Total Scores
MCC 0.692
Average MCC ± 95% Confidence Intervals 0.763 ± 0.118
Sensitivity 0.717
Positive Predictive Value 0.675
Nr of predictions 25

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

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
2LC8_A 0.64 0.61 0.69 11 512 5 0 5 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 - 1.00 1.00 1.00 29 2411 8 0 0 8 0
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 0.31 0.33 0.30 7 1136 16 3 13 0 14
3J20_1 0.75 0.75 0.75 15 1092 8 0 5 3 5
3J2L_3 0.80 0.82 0.78 28 2984 12 1 7 4 6
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 0.49 0.50 0.50 8 1277 15 0 8 7 8
3VJR_D - 1.00 1.00 1.00 12 239 0 0 0 0 0
3W3S_B 0.60 0.61 0.61 20 1956 14 4 9 1 13
3ZEX_G - 0.86 0.84 0.88 38 6464 22 0 5 17 7
3ZEX_D 0.90 0.86 0.94 30 2764 6 0 2 4 5
3ZEX_E - 0.00 0.00 0.00 0 8255 54 17 32 5 34
4A1C_2 0.19 0.25 0.15 5 4483 42 12 16 14 15
4A1C_3 0.88 0.86 0.89 32 2727 7 0 4 3 5
4A4U_A - 1.00 1.00 1.00 9 96 0 0 0 0 0
4AOB_A 0.60 0.59 0.63 17 1410 11 4 6 1 12
4ATO_G - 0.72 1.00 0.54 7 207 6 6 0 0 0
4ENC_A 0.97 1.00 0.94 15 480 1 1 0 0 0
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.