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 MXScarna(seed) - scored higher in this pairwise comparison

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

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


Overview

Metric MXScarna(seed) Murlet(seed)
MCC 0.761 > 0.620
Average MCC ± 95% Confidence Intervals 0.739 ± 0.089 > 0.616 ± 0.071
Sensitivity 0.719 > 0.442
Positive Predictive Value 0.812 < 0.879
Total TP 424 > 261
Total TN 39025 < 39250
Total FP 177 > 49
Total FP CONTRA 33 > 4
Total FP INCONS 65 > 32
Total FP COMP 79 > 13
Total FN 166 < 329
P-value 5.10776592382e-08

^top




Performance plots


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

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

^top





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

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

Total Base Pair Counts
Total TP 424
Total TN 39025
Total FP 177
Total FP CONTRA 33
Total FP INCONS 65
Total FP COMP 79
Total FN 166
Total Scores
MCC 0.761
Average MCC ± 95% Confidence Intervals 0.739 ± 0.089
Sensitivity 0.719
Positive Predictive Value 0.812
Nr of predictions 26

^top



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

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
2KDQ_B 1.00 1.00 1.00 10 164 0 0 0 0 0
2KE6_A 0.91 0.89 0.94 16 450 2 0 1 1 2
2KUR_A 0.92 0.89 0.94 17 449 1 0 1 0 2
2KUU_A 0.91 0.89 0.94 16 430 2 0 1 1 2
2KUV_A 0.92 0.89 0.94 17 421 1 0 1 0 2
2KUW_A 0.78 0.72 0.87 13 455 3 0 2 1 5
2L1F_A 0.93 0.91 0.95 21 741 1 0 1 0 2
2L1F_B 0.98 0.96 1.00 23 768 0 0 0 0 1
2L94_A 0.55 0.56 0.59 10 340 8 0 7 1 8
2LC8_A -0.03 0.00 0.00 0 518 12 0 10 2 18
2XKV_B 0.78 0.82 0.75 9 1823 20 0 3 17 2
2XXA_G 0.74 0.69 0.80 24 2015 7 0 6 1 11
3A3A_A 0.84 0.77 0.92 23 1475 4 0 2 2 7
3GX2_A 0.83 0.82 0.85 23 1422 7 2 2 3 5
3IVN_B 0.69 0.57 0.87 13 888 2 2 0 0 10
3JYX_4 0.70 0.83 0.59 10 4739 21 6 1 14 2
3LA5_A 0.82 0.72 0.95 18 935 1 1 0 0 7
3NPB_A 0.76 0.70 0.84 26 2247 10 2 3 5 11
3O58_3 0.54 0.50 0.58 11 4745 20 5 3 12 11
3PDR_A 0.87 0.88 0.86 44 4789 10 4 3 3 6
3RKF_A 0.86 0.75 1.00 18 848 0 0 0 0 6
3SD1_A 0.74 0.76 0.73 22 1503 9 4 4 1 7
4A1C_2 0.45 0.40 0.50 8 4500 20 4 4 12 12
4AOB_A 0.71 0.69 0.74 20 1410 10 2 5 3 9
4ENB_A 0.54 0.40 0.75 6 464 2 0 2 0 9
4ENC_A 0.48 0.40 0.60 6 486 4 1 3 0 9

^top



Performance of Murlet(seed) - scored lower 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


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