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

  1. Overview

  2. Performance Plots

  3. Performance of Murlet(seed) - scored higher in this pairwise comparison

  4. Performance of Vsfold5 - scored lower in this pairwise comparison

  5. Compile and download dataset for Murlet(seed) & Vsfold5 [.zip] - may take several seconds...


Overview

Metric Murlet(seed) Vsfold5
MCC 0.598 > 0.597
Average MCC ± 95% Confidence Intervals 0.596 ± 0.072 < 0.629 ± 0.142
Sensitivity 0.425 < 0.591
Positive Predictive Value 0.852 > 0.615
Total TP 287 < 399
Total TN 44249 > 43937
Total FP 63 < 310
Total FP CONTRA 5 < 70
Total FP INCONS 45 < 180
Total FP COMP 13 < 60
Total FN 388 > 276
P-value 0.0307664235267

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Performance plots


  1. Comparison of performance of Murlet(seed) and Vsfold5. 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 Murlet(seed) and Vsfold5).

  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 Murlet(seed) and Vsfold5).

  3. Comparison of average Matthews Correlation Coefficients (MCCs) for Murlet(seed) and Vsfold5. 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 Murlet(seed) and Vsfold5).

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

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

Total Base Pair Counts
Total TP 287
Total TN 44249
Total FP 63
Total FP CONTRA 5
Total FP INCONS 45
Total FP COMP 13
Total FN 388
Total Scores
MCC 0.598
Average MCC ± 95% Confidence Intervals 0.596 ± 0.072
Sensitivity 0.425
Positive Predictive Value 0.852
Nr of predictions 29

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2. Individual counts for Murlet(seed) [ download as .csv ]

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
2KDQ_B 0.54 0.30 1.00 3 171 0 0 0 0 7
2KE6_A 0.67 0.56 0.83 10 455 2 0 2 0 8
2KUR_A 0.65 0.53 0.83 10 455 2 0 2 0 9
2KUU_A 0.67 0.56 0.83 10 435 2 0 2 0 8
2KUV_A 0.91 0.84 1.00 16 423 0 0 0 0 3
2KUW_A 0.88 0.83 0.94 15 454 2 0 1 1 3
2L1F_A 0.83 0.78 0.90 18 743 2 0 2 0 5
2L1F_B 0.82 0.75 0.90 18 771 2 0 2 0 6
2L94_A 0.57 0.39 0.88 7 349 2 0 1 1 11
2LC8_A -0.03 0.00 0.00 0 516 12 0 12 0 18
2XKV_B 0.60 0.36 1.00 4 1831 2 0 0 2 7
2XXA_G 0.41 0.17 1.00 6 2039 0 0 0 0 29
3A3A_A 0.63 0.40 1.00 12 1488 0 0 0 0 18
3GX2_A 0.70 0.50 1.00 14 1435 1 0 0 1 14
3IVN_B 0.62 0.52 0.75 12 887 4 2 2 0 11
3JYX_4 0.50 0.25 1.00 3 4753 4 0 0 4 9
3LA5_A 0.67 0.56 0.82 14 937 3 1 2 0 11
3NPB_A 0.59 0.35 1.00 13 2265 2 0 0 2 24
3O58_3 0.52 0.27 1.00 6 4758 1 0 0 1 16
3PDR_A 0.53 0.28 1.00 14 4826 0 0 0 0 36
3RKF_A 0.62 0.50 0.80 12 851 3 1 2 0 12
3SD1_A 0.56 0.38 0.85 11 1520 2 0 2 0 18
3W3S_B 0.45 0.27 0.75 9 1977 3 0 3 0 24
4A1C_2 0.59 0.35 1.00 7 4509 0 0 0 0 13
4AOB_A 0.69 0.48 1.00 14 1423 1 0 0 1 15
4ENB_A 0.63 0.40 1.00 6 466 0 0 0 0 9
4ENC_A 0.63 0.40 1.00 6 490 0 0 0 0 9
4FRG_B 0.17 0.13 0.25 3 1190 9 0 9 0 21
4FRN_A 0.66 0.50 0.88 14 1832 2 1 1 0 14

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Performance of Vsfold5 - scored lower in this pairwise comparison

1. Total counts & total scores for Vsfold5

Total Base Pair Counts
Total TP 399
Total TN 43937
Total FP 310
Total FP CONTRA 70
Total FP INCONS 180
Total FP COMP 60
Total FN 276
Total Scores
MCC 0.597
Average MCC ± 95% Confidence Intervals 0.629 ± 0.142
Sensitivity 0.591
Positive Predictive Value 0.615
Nr of predictions 29

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2. Individual counts for Vsfold5 [ download as .csv ]

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
2KDQ_B 0.95 0.90 1.00 9 165 0 0 0 0 1
2KE6_A 1.00 1.00 1.00 18 449 1 0 0 1 0
2KUR_A 1.00 1.00 1.00 19 448 0 0 0 0 0
2KUU_A 1.00 1.00 1.00 18 429 1 0 0 1 0
2KUV_A 1.00 1.00 1.00 19 420 0 0 0 0 0
2KUW_A 1.00 1.00 1.00 18 452 1 0 0 1 0
2L1F_A 0.70 0.61 0.82 14 746 3 0 3 0 9
2L1F_B 0.71 0.63 0.83 15 773 3 0 3 0 9
2L94_A 0.97 0.94 1.00 17 340 1 0 0 1 1
2LC8_A -0.03 0.00 0.00 0 515 13 0 13 0 18
2XKV_B -0.01 0.00 0.00 0 1803 32 17 15 0 11
2XXA_G -0.02 0.00 0.00 0 2014 31 2 29 0 35
3A3A_A 0.95 0.90 1.00 27 1473 0 0 0 0 3
3GX2_A 0.61 0.57 0.67 16 1425 9 0 8 1 12
3IVN_B 0.88 0.78 1.00 18 885 0 0 0 0 5
3JYX_4 0.63 0.83 0.48 10 4735 32 9 2 21 2
3LA5_A -0.02 0.00 0.00 0 938 16 0 16 0 25
3NPB_A 0.62 0.54 0.71 20 2250 10 1 7 2 17
3O58_3 0.51 0.59 0.45 13 4735 28 11 5 12 9
3PDR_A 0.69 0.64 0.74 32 4797 13 3 8 2 18
3RKF_A 0.90 0.92 0.88 22 841 3 3 0 0 2
3SD1_A 0.13 0.14 0.15 4 1507 22 5 17 0 25
3W3S_B 0.83 0.85 0.82 28 1955 7 2 4 1 5
4A1C_2 0.33 0.40 0.28 8 4487 37 8 13 16 12
4AOB_A 0.21 0.21 0.25 6 1413 19 2 16 1 23
4ENB_A 1.00 1.00 1.00 15 457 0 0 0 0 0
4ENC_A 0.97 1.00 0.94 15 480 1 1 0 0 0
4FRG_B 0.60 0.58 0.64 14 1180 8 3 5 0 10
4FRN_A 0.15 0.14 0.17 4 1825 19 3 16 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.