CompaRNA - on-line benchmarks of RNA structure prediction methods
Home

Methods
Datasets
Rankings
RNA 2D Atlas

Help
FAQ

Contact us
RSS feeds
Twitter

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 0.620 > 0.603
Average MCC ± 95% Confidence Intervals 0.616 ± 0.071 < 0.641 ± 0.154
Sensitivity 0.442 < 0.598
Positive Predictive Value 0.879 > 0.619
Total TP 261 < 353
Total TN 39250 > 38977
Total FP 49 < 276
Total FP CONTRA 4 < 62
Total FP INCONS 32 < 155
Total FP COMP 13 < 59
Total FN 329 > 237
P-value 6.21280603249e-05

^top




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).

^top





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

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

Total Base Pair Counts
Total TP 261
Total TN 39250
Total FP 49
Total FP CONTRA 4
Total FP INCONS 32
Total FP COMP 13
Total FN 329
Total Scores
MCC 0.620
Average MCC ± 95% Confidence Intervals 0.616 ± 0.071
Sensitivity 0.442
Positive Predictive Value 0.879
Nr of predictions 26

^top



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
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

^top



Performance of Vsfold5 - scored lower in this pairwise comparison

1. Total counts & total scores for Vsfold5

Total Base Pair Counts
Total TP 353
Total TN 38977
Total FP 276
Total FP CONTRA 62
Total FP INCONS 155
Total FP COMP 59
Total FN 237
Total Scores
MCC 0.603
Average MCC ± 95% Confidence Intervals 0.641 ± 0.154
Sensitivity 0.598
Positive Predictive Value 0.619
Nr of predictions 26

^top



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
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

^top


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