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(seed) - scored higher in this pairwise comparison

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

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


Overview

Metric RNAalifold(seed) RNASLOpt
MCC 0.472 > 0.390
Average MCC ± 95% Confidence Intervals 0.444 ± 0.347 < 0.473 ± 0.289
Sensitivity 0.293 < 0.323
Positive Predictive Value 0.765 > 0.478
Total TP 39 < 43
Total TN 20242 > 20203
Total FP 15 < 53
Total FP CONTRA 0 < 11
Total FP INCONS 12 < 36
Total FP COMP 3 < 6
Total FN 94 > 90
P-value 0.0

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Performance plots


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

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

Total Base Pair Counts
Total TP 39
Total TN 20242
Total FP 15
Total FP CONTRA 0
Total FP INCONS 12
Total FP COMP 3
Total FN 94
Total Scores
MCC 0.472
Average MCC ± 95% Confidence Intervals 0.444 ± 0.347
Sensitivity 0.293
Positive Predictive Value 0.765
Nr of predictions 5

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2. Individual counts for RNAalifold(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 1528 12 0 12 0 20
4A1C_2 0.39 0.15 1.00 5 11776 2 0 0 2 28
4AOB_A 0.72 0.52 1.00 22 4349 1 0 0 1 20
4ENB_A 0.56 0.32 1.00 6 1269 0 0 0 0 13
4ENC_A 0.56 0.32 1.00 6 1320 0 0 0 0 13

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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 43
Total TN 20203
Total FP 53
Total FP CONTRA 11
Total FP INCONS 36
Total FP COMP 6
Total FN 90
Total Scores
MCC 0.390
Average MCC ± 95% Confidence Intervals 0.473 ± 0.289
Sensitivity 0.323
Positive Predictive Value 0.478
Nr of predictions 5

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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
2LC8_A 0.47 0.35 0.64 7 1529 4 0 4 0 13
4A1C_2 0.23 0.24 0.22 8 11744 35 8 21 6 25
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

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