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 RNAshapes - scored higher in this pairwise comparison

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

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


Overview

Metric RNAshapes Murlet(seed)
MCC 0.692 > 0.539
Average MCC ± 95% Confidence Intervals 0.721 ± 0.096 > 0.545 ± 0.074
Sensitivity 0.614 > 0.337
Positive Predictive Value 0.783 < 0.868
Total TP 481 > 264
Total TN 104185 < 104495
Total FP 192 > 46
Total FP CONTRA 18 > 5
Total FP INCONS 115 > 35
Total FP COMP 59 > 6
Total FN 302 < 519
P-value 5.06544643719e-08

^top




Performance plots


^top





Performance of RNAshapes - scored higher in this pairwise comparison

1. Total counts & total scores for RNAshapes

Total Base Pair Counts
Total TP 481
Total TN 104185
Total FP 192
Total FP CONTRA 18
Total FP INCONS 115
Total FP COMP 59
Total FN 302
Total Scores
MCC 0.692
Average MCC ± 95% Confidence Intervals 0.721 ± 0.096
Sensitivity 0.614
Positive Predictive Value 0.783
Nr of predictions 26

^top



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

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
2KDQ_B 0.95 0.91 1.00 10 396 0 0 0 0 1
2KE6_A 0.97 0.95 1.00 18 1110 1 0 0 1 1
2KUR_A 0.95 0.90 1.00 19 1109 0 0 0 0 2
2KUU_A 0.92 0.86 1.00 18 1110 1 0 0 1 3
2KUV_A 0.93 0.86 1.00 19 1109 0 0 0 0 3
2KUW_A 0.95 0.90 1.00 19 1109 0 0 0 0 2
2L1F_A 0.87 0.83 0.91 20 2058 2 0 2 0 4
2L1F_B 0.96 0.92 1.00 23 2122 0 0 0 0 2
2L94_A 0.97 0.95 1.00 19 971 0 0 0 0 1
2LC8_A 0.61 0.55 0.69 11 1524 5 0 5 0 9
2XKV_B 0.51 0.50 0.53 10 4541 22 0 9 13 10
2XXA_G 0.93 0.86 1.00 36 5115 0 0 0 0 6
3A3A_A 0.76 0.65 0.89 24 3628 3 0 3 0 13
3GX2_A 0.76 0.63 0.93 25 4344 3 0 2 1 15
3IVN_B 0.78 0.61 1.00 19 2327 0 0 0 0 12
3JYX_4 0.31 0.30 0.31 10 12214 35 5 17 13 23
3LA5_A 0.76 0.59 1.00 20 2465 0 0 0 0 14
3NPB_A 0.77 0.63 0.94 29 6990 4 1 1 2 17
3O58_3 0.34 0.34 0.34 12 12368 37 2 21 14 23
3PDR_A 0.67 0.56 0.80 40 12830 12 0 10 2 32
3RKF_A 0.76 0.59 1.00 20 2191 0 0 0 0 14
3SD1_A 0.64 0.52 0.79 22 3888 6 1 5 0 20
4A1C_2 0.14 0.15 0.14 5 11746 41 5 25 11 28
4AOB_A 0.50 0.40 0.63 17 4344 11 2 8 1 25
4ENB_A 0.70 0.58 0.85 11 1262 2 1 1 0 8
4ENC_A 0.32 0.26 0.42 5 1314 7 1 6 0 14

^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 264
Total TN 104495
Total FP 46
Total FP CONTRA 5
Total FP INCONS 35
Total FP COMP 6
Total FN 519
Total Scores
MCC 0.539
Average MCC ± 95% Confidence Intervals 0.545 ± 0.074
Sensitivity 0.337
Positive Predictive Value 0.868
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 0.52 0.27 1.00 3 403 0 0 0 0 8
2KE6_A 0.66 0.53 0.83 10 1116 2 0 2 0 9
2KUR_A 0.63 0.48 0.83 10 1116 2 0 2 0 11
2KUU_A 0.63 0.48 0.83 10 1116 2 0 2 0 11
2KUV_A 0.85 0.73 1.00 16 1112 0 0 0 0 6
2KUW_A 0.84 0.76 0.94 16 1111 1 0 1 0 5
2L1F_A 0.82 0.75 0.90 18 2060 2 0 2 0 6
2L1F_B 0.80 0.72 0.90 18 2125 2 0 2 0 7
2L94_A 0.59 0.40 0.89 8 981 1 0 1 0 12
2LC8_A -0.01 0.00 0.00 0 1528 12 0 12 0 20
2XKV_B 0.45 0.20 1.00 4 4556 2 0 0 2 16
2XXA_G 0.38 0.14 1.00 6 5145 0 0 0 0 36
3A3A_A 0.57 0.32 1.00 12 3643 0 0 0 0 25
3GX2_A 0.59 0.35 1.00 14 4357 1 0 0 1 26
3IVN_B 0.53 0.39 0.75 12 2330 4 2 2 0 19
3JYX_4 0.23 0.09 0.60 3 12241 4 0 2 2 30
3LA5_A 0.58 0.41 0.82 14 2468 3 1 2 0 20
3NPB_A 0.49 0.28 0.87 13 7006 2 1 1 0 33
3O58_3 0.45 0.20 1.00 7 12396 0 0 0 0 28
3PDR_A 0.44 0.19 1.00 14 12866 0 0 0 0 58
3RKF_A 0.53 0.35 0.80 12 2196 3 1 2 0 22
3SD1_A 0.47 0.26 0.85 11 3903 2 0 2 0 31
4A1C_2 0.46 0.21 1.00 7 11774 0 0 0 0 26
4AOB_A 0.58 0.33 1.00 14 4357 1 0 0 1 28
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

^top


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