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Table of contents:

  1. Overview

  2. Performance Plots

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

  4. Performance of Murlet(20) - scored lower in this pairwise comparison

  5. Compile and download dataset for MXScarna(seed) & Murlet(20) [.zip] - may take several seconds...


Overview

Metric MXScarna(seed) Murlet(20)
MCC 0.659 > 0.577
Average MCC ± 95% Confidence Intervals 0.652 ± 0.057 > 0.577 ± 0.064
Sensitivity 0.545 > 0.425
Positive Predictive Value 0.801 > 0.788
Total TP 680 > 530
Total TN 240230 < 240406
Total FP 254 > 179
Total FP CONTRA 34 > 15
Total FP INCONS 135 > 128
Total FP COMP 85 > 36
Total FN 568 < 718
P-value 5.23657817852e-08

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Performance plots


  1. Comparison of performance of MXScarna(seed) and Murlet(20). 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(20)).

  2. Comparison of performance of MXScarna(seed) and Murlet(20). 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(20)).

  3. 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(20)).

  4. 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(20)).

  5. Comparison of average Matthews Correlation Coefficients (MCCs) for MXScarna(seed) and Murlet(20). 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(20)).

  6. Comparison of average Matthews Correlation Coefficients (MCCs) for MXScarna(seed) and Murlet(20). 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(20)).

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

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

Total Base Pair Counts
Total TP 680
Total TN 240230
Total FP 254
Total FP CONTRA 34
Total FP INCONS 135
Total FP COMP 85
Total FN 568
Total Scores
MCC 0.659
Average MCC ± 95% Confidence Intervals 0.652 ± 0.057
Sensitivity 0.545
Positive Predictive Value 0.801
Nr of predictions 33

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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 0.95 0.91 1.00 10 396 0 0 0 0 1
2L94_A 0.57 0.55 0.61 11 972 7 0 7 0 9
2WRQ_Y 0.57 0.59 0.56 10 2832 11 5 3 3 7
2XKV_B 0.59 0.55 0.65 11 4543 18 0 6 12 9
2XQD_Y 0.77 0.67 0.90 18 2830 2 0 2 0 9
2XXA_G 0.67 0.57 0.80 24 5121 7 0 6 1 18
3A2K_C 0.84 0.71 1.00 20 2906 0 0 0 0 8
3AMU_B 0.84 0.70 1.00 19 2984 1 0 0 1 8
3GX2_A 0.70 0.60 0.83 24 4342 6 0 5 1 16
3IVN_B 0.65 0.45 0.93 14 2331 1 1 0 0 17
3IZ4_A 0.69 0.55 0.88 72 70794 11 3 7 1 60
3IZF_C 0.67 0.57 0.79 31 6864 9 1 7 1 23
3J20_0 0.79 0.63 1.00 19 2831 0 0 0 0 11
3J20_1 0.93 0.87 1.00 20 2906 0 0 0 0 3
3J2L_3 0.60 0.49 0.74 26 7840 11 1 8 2 27
3JYV_7 0.79 0.63 1.00 20 2830 0 0 0 0 12
3JYX_4 0.38 0.30 0.48 10 12225 21 3 8 10 23
3JYX_3 0.58 0.56 0.60 15 6303 21 1 9 11 12
3LA5_A 0.75 0.56 1.00 19 2466 0 0 0 0 15
3NPB_A 0.69 0.59 0.82 27 6988 9 2 4 3 19
3O58_2 0.79 0.79 0.79 30 7222 10 4 4 2 8
3O58_3 0.45 0.34 0.60 12 12383 19 2 6 11 23
3PDR_A 0.73 0.63 0.87 45 12828 9 2 5 2 27
3RKF_A 0.72 0.53 1.00 18 2193 0 0 0 0 16
3SD1_A 0.63 0.55 0.74 23 3885 8 1 7 0 19
3ZEX_C 0.32 0.19 0.53 10 14177 20 2 7 11 42
3ZEX_D 0.76 0.69 0.83 34 6980 7 1 6 0 15
4A1C_3 0.75 0.65 0.88 35 7100 5 1 4 0 19
4A1C_2 0.35 0.24 0.50 8 11765 20 1 7 12 25
4AOB_A 0.66 0.55 0.79 23 4342 7 0 6 1 19
4ENB_A 0.48 0.32 0.75 6 1267 2 0 2 0 13
4ENC_A 0.43 0.32 0.60 6 1316 4 1 3 0 13
4FRG_B 0.41 0.31 0.56 10 3468 8 2 6 0 22

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Performance of Murlet(20) - scored lower in this pairwise comparison

1. Total counts & total scores for Murlet(20)

Total Base Pair Counts
Total TP 530
Total TN 240406
Total FP 179
Total FP CONTRA 15
Total FP INCONS 128
Total FP COMP 36
Total FN 718
Total Scores
MCC 0.577
Average MCC ± 95% Confidence Intervals 0.577 ± 0.064
Sensitivity 0.425
Positive Predictive Value 0.788
Nr of predictions 33

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2. Individual counts for Murlet(20) [ download as .csv ]

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
2KDQ_B 0.67 0.45 1.00 5 401 0 0 0 0 6
2L94_A 0.53 0.50 0.59 10 973 7 0 7 0 10
2WRQ_Y 0.41 0.41 0.41 7 2833 12 6 4 2 10
2XKV_B 0.45 0.20 1.00 4 4556 3 0 0 3 16
2XQD_Y 0.80 0.70 0.90 19 2829 2 0 2 0 8
2XXA_G 0.41 0.17 1.00 7 5144 0 0 0 0 35
3A2K_C 0.78 0.68 0.90 19 2905 2 0 2 0 9
3AMU_B 0.77 0.67 0.90 18 2983 3 0 2 1 9
3GX2_A 0.61 0.38 1.00 15 4356 1 0 0 1 25
3IVN_B 0.69 0.48 1.00 15 2331 0 0 0 0 16
3IZ4_A 0.40 0.24 0.65 32 70827 21 1 16 4 100
3IZF_C 0.71 0.56 0.91 30 6870 4 0 3 1 24
3J20_0 0.58 0.47 0.74 14 2831 5 0 5 0 16
3J20_1 0.68 0.57 0.81 13 2910 3 0 3 0 10
3J2L_3 0.69 0.49 0.96 26 7848 3 0 1 2 27
3JYV_7 0.67 0.53 0.85 17 2830 3 0 3 0 15
3JYX_4 0.36 0.27 0.47 9 12227 15 0 10 5 24
3JYX_3 0.60 0.52 0.70 14 6308 11 0 6 5 13
3LA5_A 0.68 0.47 1.00 16 2469 0 0 0 0 18
3NPB_A 0.55 0.35 0.89 16 7003 2 1 1 0 30
3O58_2 0.89 0.82 0.97 31 7228 2 0 1 1 7
3O58_3 0.33 0.23 0.47 8 12386 12 2 7 3 27
3PDR_A 0.70 0.53 0.93 38 12839 3 0 3 0 34
3RKF_A 0.68 0.47 1.00 16 2195 0 0 0 0 18
3SD1_A 0.68 0.57 0.83 24 3887 5 1 4 0 18
3ZEX_C 0.34 0.23 0.50 12 14172 15 1 11 3 40
3ZEX_D 0.77 0.65 0.91 32 6986 3 0 3 0 17
4A1C_3 0.59 0.41 0.85 22 7114 4 0 4 0 32
4A1C_2 0.17 0.15 0.20 5 11756 24 2 18 4 28
4AOB_A 0.72 0.55 0.96 23 4347 2 0 1 1 19
4ENB_A 0.46 0.21 1.00 4 1271 0 0 0 0 15
4ENC_A 0.51 0.26 1.00 5 1321 0 0 0 0 14
4FRG_B 0.17 0.13 0.25 4 3470 12 1 11 0 28

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