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

  1. Overview

  2. Performance Plots

  3. Performance of RNAalifold(20) - scored higher in this pairwise comparison

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

  5. Compile and download dataset for RNAalifold(20) & RNASLOpt [.zip] - may take several seconds...


Overview

Metric RNAalifold(20) RNASLOpt
MCC 0.645 > 0.540
Average MCC ± 95% Confidence Intervals 0.640 ± 0.153 > 0.575 ± 0.157
Sensitivity 0.493 > 0.443
Positive Predictive Value 0.847 > 0.664
Total TP 200 > 180
Total TN 64011 > 63976
Total FP 44 < 113
Total FP CONTRA 3 < 15
Total FP INCONS 33 < 76
Total FP COMP 8 < 22
Total FN 206 < 226
P-value 1.1568170475e-08

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Performance plots


  1. Comparison of performance of RNAalifold(20) and RNASLOpt. 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 RNAalifold(20) and RNASLOpt).

  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 RNAalifold(20) and RNASLOpt).

  3. Comparison of average Matthews Correlation Coefficients (MCCs) for RNAalifold(20) and RNASLOpt. 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 RNAalifold(20) and RNASLOpt).

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Performance of RNAalifold(20) - scored higher in this pairwise comparison

1. Total counts & total scores for RNAalifold(20)

Total Base Pair Counts
Total TP 200
Total TN 64011
Total FP 44
Total FP CONTRA 3
Total FP INCONS 33
Total FP COMP 8
Total FN 206
Total Scores
MCC 0.645
Average MCC ± 95% Confidence Intervals 0.640 ± 0.153
Sensitivity 0.493
Positive Predictive Value 0.847
Nr of predictions 11

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2. Individual counts for RNAalifold(20) [ download as .csv ]

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
3J20_0 0.84 0.70 1.00 21 2829 0 0 0 0 9
3J20_1 0.96 0.91 1.00 21 2905 0 0 0 0 2
3J2L_3 0.69 0.47 1.00 25 7850 2 0 0 2 28
3ZEX_C 0.39 0.27 0.56 14 14171 14 1 10 3 38
3ZEX_D 0.80 0.69 0.92 34 6984 3 0 3 0 15
4A1C_2 0.17 0.15 0.19 5 11755 23 2 19 2 28
4A1C_3 0.74 0.57 0.97 31 7108 1 0 1 0 23
4AOB_A 0.72 0.52 1.00 22 4349 1 0 0 1 20
4ENB_A 0.46 0.21 1.00 4 1271 0 0 0 0 15
4ENC_A 0.56 0.32 1.00 6 1320 0 0 0 0 13
4FRG_B 0.73 0.53 1.00 17 3469 0 0 0 0 15

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Performance of RNASLOpt - scored lower in this pairwise comparison

1. Total counts & total scores for RNASLOpt

Total Base Pair Counts
Total TP 180
Total TN 63976
Total FP 113
Total FP CONTRA 15
Total FP INCONS 76
Total FP COMP 22
Total FN 226
Total Scores
MCC 0.540
Average MCC ± 95% Confidence Intervals 0.575 ± 0.157
Sensitivity 0.443
Positive Predictive Value 0.664
Nr of predictions 11

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

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
3J20_0 0.66 0.57 0.77 17 2828 6 1 4 1 13
3J20_1 0.96 0.91 1.00 21 2905 0 0 0 0 2
3J2L_3 0.56 0.43 0.72 23 7843 11 0 9 2 30
3ZEX_C 0.26 0.21 0.33 11 14163 35 2 20 13 41
3ZEX_D 0.76 0.59 0.97 29 6991 1 0 1 0 20
4A1C_2 0.23 0.24 0.22 8 11744 35 8 21 6 25
4A1C_3 0.67 0.52 0.88 28 7108 4 0 4 0 26
4AOB_A 0.26 0.19 0.38 8 4350 13 2 11 0 34
4ENB_A 0.76 0.58 1.00 11 1264 0 0 0 0 8
4ENC_A 0.65 0.47 0.90 9 1316 1 1 0 0 10
4FRG_B 0.56 0.47 0.68 15 3464 7 1 6 0 17

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