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

  1. Overview

  2. Performance Plots

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

  4. Performance of RSpredict(seed) - scored lower in this pairwise comparison

  5. Compile and download dataset for IPknot & RSpredict(seed) [.zip] - may take several seconds...


Overview

Metric IPknot RSpredict(seed)
MCC 0.599 > 0.395
Average MCC ± 95% Confidence Intervals 0.587 ± 0.089 > 0.124 ± 0.083
Sensitivity 0.501 > 0.246
Positive Predictive Value 0.717 > 0.636
Total TP 800 > 393
Total TN 1253778 < 1254276
Total FP 357 > 232
Total FP CONTRA 28 > 15
Total FP INCONS 288 > 210
Total FP COMP 41 > 7
Total FN 798 < 1205
P-value 3.56938820447e-08

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Performance plots


  1. Comparison of performance of IPknot and RSpredict(seed). 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 IPknot and RSpredict(seed)).

  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 IPknot and RSpredict(seed)).

  3. Comparison of average Matthews Correlation Coefficients (MCCs) for IPknot and RSpredict(seed). 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 IPknot and RSpredict(seed)).

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Performance of IPknot - scored higher in this pairwise comparison

1. Total counts & total scores for IPknot

Total Base Pair Counts
Total TP 800
Total TN 1253778
Total FP 357
Total FP CONTRA 28
Total FP INCONS 288
Total FP COMP 41
Total FN 798
Total Scores
MCC 0.599
Average MCC ± 95% Confidence Intervals 0.587 ± 0.089
Sensitivity 0.501
Positive Predictive Value 0.717
Nr of predictions 28

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

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
2LC8_A 0.40 0.30 0.55 6 1529 5 1 4 0 14
3AMU_B 0.70 0.59 0.84 16 2984 5 0 3 2 11
3J16_L 0.75 0.57 1.00 17 2758 0 0 0 0 13
3J20_1 0.96 0.91 1.00 21 2905 0 0 0 0 2
3J20_2 0.61 0.52 0.72 329 1116306 135 8 122 5 304
3J20_0 0.45 0.40 0.52 12 2827 12 0 11 1 18
3J2L_3 0.66 0.55 0.81 29 7839 9 0 7 2 24
3J3D_C 0.52 0.43 0.63 12 2756 7 0 7 0 16
3J3E_8 0.00 0.00 0.00 0 7484 25 2 17 6 33
3J3E_7 0.47 0.35 0.63 19 7110 11 0 11 0 35
3J3F_7 0.67 0.60 0.75 30 7220 10 1 9 0 20
3J3F_8 0.33 0.33 0.33 12 12210 37 4 20 13 24
3RKF_A 0.76 0.59 1.00 20 2191 0 0 0 0 14
3SD1_A 0.61 0.48 0.80 20 3891 5 0 5 0 22
3UZL_B 0.72 0.54 0.95 20 3549 1 0 1 0 17
3W1K_J 0.87 0.79 0.97 30 4155 1 1 0 0 8
3W3S_B 0.85 0.75 0.97 30 4722 2 0 1 1 10
3ZEX_C 0.41 0.21 0.79 11 14182 6 1 2 3 41
3ZEX_D 0.72 0.63 0.82 31 6983 7 0 7 0 18
3ZND_W 0.20 0.22 0.19 5 2977 23 1 20 2 18
4A1C_3 0.69 0.57 0.84 31 7103 6 1 5 0 23
4A1C_2 0.17 0.15 0.19 5 11755 26 4 17 5 28
4AOB_A 0.42 0.33 0.54 14 4345 13 1 11 1 28
4ENB_A 0.76 0.58 1.00 11 1264 0 0 0 0 8
4ENC_A 0.52 0.42 0.67 8 1314 4 0 4 0 11
4FRG_B 0.69 0.56 0.86 18 3465 3 1 2 0 14
4FRN_A 0.69 0.56 0.87 20 5128 3 1 2 0 16
4JF2_A 0.84 0.74 0.96 23 2826 1 1 0 0 8

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Performance of RSpredict(seed) - scored lower in this pairwise comparison

1. Total counts & total scores for RSpredict(seed)

Total Base Pair Counts
Total TP 393
Total TN 1254276
Total FP 232
Total FP CONTRA 15
Total FP INCONS 210
Total FP COMP 7
Total FN 1205
Total Scores
MCC 0.395
Average MCC ± 95% Confidence Intervals 0.124 ± 0.083
Sensitivity 0.246
Positive Predictive Value 0.636
Nr of predictions 28

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2. Individual counts for RSpredict(seed) [ 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
3AMU_B 0.00 0.00 0.00 0 3001 2 0 2 0 27
3J16_L 0.00 0.00 0.00 0 2774 1 0 1 0 30
3J20_1 0.09 0.04 0.20 1 2921 4 0 4 0 22
3J20_2 0.62 0.53 0.73 335 1116304 129 9 117 3 298
3J20_0 0.00 0.00 0.00 0 2846 4 0 4 0 30
3J2L_3 0.00 0.00 0.00 0 7870 5 0 5 0 53
3J3D_C 0.00 0.00 0.00 0 2771 4 1 3 0 28
3J3E_8 0.00 0.00 0.00 0 7503 0 0 0 0 33
3J3E_7 0.00 0.00 0.00 0 7132 8 0 8 0 54
3J3F_7 0.00 0.00 0.00 0 7256 4 0 4 0 50
3J3F_8 0.14 0.06 0.33 2 12240 5 1 3 1 34
3RKF_A 0.71 0.53 0.95 18 2192 1 0 1 0 16
3SD1_A 0.00 0.00 0.00 0 3916 0 0 0 0 42
3UZL_B 0.00 0.00 0.00 0 3564 6 0 6 0 37
3W1K_J 0.51 0.29 0.92 11 4174 1 0 1 0 27
3W3S_B 0.41 0.30 0.57 12 4732 10 1 8 1 28
3ZEX_C 0.10 0.04 0.25 2 14188 6 1 5 0 50
3ZEX_D 0.00 0.00 0.00 0 7019 2 0 2 0 49
3ZND_W 0.00 0.00 0.00 0 3000 4 0 3 1 23
4A1C_3 0.00 0.00 0.00 0 7136 4 1 3 0 54
4A1C_2 0.00 0.00 0.00 0 11777 5 1 3 1 33
4AOB_A 0.35 0.14 0.86 6 4364 1 0 1 0 36
4ENB_A 0.30 0.16 0.60 3 1270 2 0 2 0 16
4ENC_A 0.30 0.16 0.60 3 1321 2 0 2 0 16
4FRG_B 0.00 0.00 0.00 0 3484 2 0 2 0 32
4FRN_A 0.00 0.00 0.00 0 5148 3 0 3 0 36
4JF2_A 0.00 0.00 0.00 0 2846 4 0 4 0 31

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