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

  1. Overview

  2. Performance Plots

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

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

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


Overview

Metric NanoFolder RSpredict(seed)
MCC 0.344 > 0.106
Average MCC ± 95% Confidence Intervals 0.361 ± 0.107 > 0.072 ± 0.079
Sensitivity 0.434 > 0.053
Positive Predictive Value 0.287 > 0.230
Total TP 188 > 23
Total TN 36872 < 37428
Total FP 544 > 83
Total FP CONTRA 161 > 14
Total FP INCONS 307 > 63
Total FP COMP 76 > 6
Total FN 245 < 410
P-value 3.05041766982e-08

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Performance plots


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

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

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Performance of NanoFolder - scored higher in this pairwise comparison

1. Total counts & total scores for NanoFolder

Total Base Pair Counts
Total TP 188
Total TN 36872
Total FP 544
Total FP CONTRA 161
Total FP INCONS 307
Total FP COMP 76
Total FN 245
Total Scores
MCC 0.344
Average MCC ± 95% Confidence Intervals 0.361 ± 0.107
Sensitivity 0.434
Positive Predictive Value 0.287
Nr of predictions 18

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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
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
3J3D_C 0.76 0.95 0.62 18 939 11 9 2 0 1
3J3E_7 0.44 0.53 0.38 18 2693 31 10 20 1 16
3J3E_8 -0.01 0.00 0.00 0 2707 47 11 24 12 15
3J3F_7 0.20 0.25 0.18 9 2883 43 10 32 1 27
3J3F_8 0.30 0.47 0.19 9 4714 57 21 17 19 10
3UZL_B 0.41 0.56 0.31 9 1264 25 10 10 5 7
3W3S_B 0.18 0.21 0.18 7 1949 34 2 31 1 26
3ZEX_D 0.30 0.37 0.27 13 2747 36 10 26 0 22
3ZND_W 0.24 0.38 0.16 3 1172 31 8 8 15 5
4A1C_3 0.58 0.68 0.51 25 2714 24 9 15 0 12
4A1C_2 -0.01 0.00 0.00 0 4469 61 18 29 14 20
4AOB_A 0.39 0.41 0.39 12 1406 20 4 15 1 17
4ENC_A 0.66 0.73 0.61 11 478 9 2 5 2 4
4JF2_A 0.55 0.67 0.47 16 1048 19 9 9 1 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 23
Total TN 37428
Total FP 83
Total FP CONTRA 14
Total FP INCONS 63
Total FP COMP 6
Total FN 410
Total Scores
MCC 0.106
Average MCC ± 95% Confidence Intervals 0.072 ± 0.079
Sensitivity 0.053
Positive Predictive Value 0.230
Nr of predictions 18

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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 -0.03 0.00 0.00 0 515 13 0 13 0 18
3J16_L 0.00 0.00 0.00 0 1158 1 0 1 0 21
3J20_1 -0.01 0.00 0.00 0 1108 5 0 4 1 20
3J2L_3 0.00 0.00 0.00 0 3015 5 0 5 0 34
3J3D_C -0.01 0.00 0.00 0 964 4 1 3 0 19
3J3E_7 -0.01 0.00 0.00 0 2733 8 1 7 0 34
3J3E_8 0.00 0.00 0.00 0 2742 0 0 0 0 15
3J3F_7 0.00 0.00 0.00 0 2930 4 1 3 0 36
3J3F_8 0.19 0.11 0.33 2 4755 5 3 1 1 17
3UZL_B -0.01 0.00 0.00 0 1287 6 3 3 0 16
3W3S_B 0.45 0.36 0.57 12 1968 10 1 8 1 21
3ZEX_D 0.00 0.00 0.00 0 2794 2 0 2 0 35
3ZND_W 0.00 0.00 0.00 0 1189 4 0 2 2 8
4A1C_3 0.00 0.00 0.00 0 2759 4 2 2 0 37
4A1C_2 0.00 0.00 0.00 0 4512 5 2 2 1 20
4AOB_A 0.42 0.21 0.86 6 1430 1 0 1 0 23
4ENC_A 0.34 0.20 0.60 3 491 2 0 2 0 12
4JF2_A -0.01 0.00 0.00 0 1078 4 0 4 0 24

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