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Table of contents:

  1. Overview

  2. Performance Plots

  3. Performance of MXScarna(20) - scored higher in this pairwise comparison

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

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


Overview

Metric MXScarna(20) Murlet(20)
MCC 0.755 > 0.693
Average MCC ± 95% Confidence Intervals 0.762 ± 0.067 > 0.690 ± 0.070
Sensitivity 0.720 > 0.594
Positive Predictive Value 0.796 < 0.815
Total TP 645 > 532
Total TN 92052 < 92209
Total FP 335 > 202
Total FP CONTRA 65 > 25
Total FP INCONS 100 > 96
Total FP COMP 170 > 81
Total FN 251 < 364
P-value 3.56938820447e-08

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Performance plots


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

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

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

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

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Performance of MXScarna(20) - scored higher in this pairwise comparison

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

Total Base Pair Counts
Total TP 645
Total TN 92052
Total FP 335
Total FP CONTRA 65
Total FP INCONS 100
Total FP COMP 170
Total FN 251
Total Scores
MCC 0.755
Average MCC ± 95% Confidence Intervals 0.762 ± 0.067
Sensitivity 0.720
Positive Predictive Value 0.796
Nr of predictions 34

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2. Individual counts for MXScarna(20) [ 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
2L94_A 0.73 0.72 0.76 13 340 5 0 4 1 5
2WRQ_Y 1.00 1.00 1.00 9 1143 14 0 0 14 0
2XKV_B 0.60 0.36 1.00 4 1831 3 0 0 3 7
2XQD_Y 0.98 0.95 1.00 20 1109 1 0 0 1 1
2XXA_G 0.88 0.86 0.91 30 2012 4 0 3 1 5
3A2K_C 0.74 0.73 0.76 16 1087 6 1 4 1 6
3AMU_B 1.00 1.00 1.00 19 1138 3 0 0 3 0
3G4S_9 0.78 0.77 0.80 20 2711 16 2 3 11 6
3GX2_A 0.81 0.79 0.85 22 1423 6 2 2 2 6
3IVN_B 0.81 0.74 0.89 17 884 2 2 0 0 6
3IZ4_A 0.58 0.54 0.63 51 25455 35 18 12 5 44
3IZF_C 0.87 0.89 0.86 31 2604 12 0 5 7 4
3J20_0 0.93 0.90 0.95 19 1199 1 1 0 0 2
3J20_1 0.97 0.95 1.00 19 1093 1 0 0 1 1
3J2L_3 0.67 0.65 0.71 22 2989 11 3 6 2 12
3JYV_7 0.95 0.90 1.00 18 1093 2 0 0 2 2
3JYX_4 0.70 0.83 0.59 10 4739 32 5 2 25 2
3JYX_3 0.73 0.73 0.73 11 2363 26 0 4 22 4
3LA5_A 0.87 0.80 0.95 20 933 1 1 0 0 5
3NPB_A 0.77 0.73 0.82 27 2245 9 2 4 3 10
3O58_2 0.92 0.90 0.93 28 2724 13 0 2 11 3
3O58_3 0.62 0.59 0.65 13 4744 18 5 2 11 9
3PDR_A 0.85 0.82 0.89 41 4794 9 2 3 4 9
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 6 2 1 7
3ZEX_C 0.35 0.31 0.41 9 5352 15 3 10 2 20
3ZEX_D 0.85 0.83 0.88 29 2763 13 0 4 9 6
4A1C_3 0.80 0.78 0.83 29 2728 12 0 6 6 8
4A1C_2 0.22 0.25 0.21 5 4492 36 8 11 17 15
4AOB_A 0.68 0.69 0.69 20 1408 13 2 7 4 9
4ENB_A 0.29 0.13 0.67 2 469 1 0 1 0 13
4ENC_A 0.68 0.47 1.00 7 489 0 0 0 0 8
4FRG_B 0.65 0.58 0.74 14 1183 6 2 3 1 10

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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 532
Total TN 92209
Total FP 202
Total FP CONTRA 25
Total FP INCONS 96
Total FP COMP 81
Total FN 364
Total Scores
MCC 0.693
Average MCC ± 95% Confidence Intervals 0.690 ± 0.070
Sensitivity 0.594
Positive Predictive Value 0.815
Nr of predictions 34

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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 0.70 0.50 1.00 5 169 0 0 0 0 5
2L94_A 0.51 0.50 0.56 9 341 8 0 7 1 9
2WRQ_Y 0.63 0.67 0.60 6 1142 13 1 3 9 3
2XKV_B 0.60 0.36 1.00 4 1831 3 0 0 3 7
2XQD_Y 0.88 0.86 0.90 18 1109 3 0 2 1 3
2XXA_G 0.44 0.20 1.00 7 2038 0 0 0 0 28
3A2K_C 0.88 0.86 0.90 19 1087 2 0 2 0 3
3AMU_B 0.89 0.89 0.89 17 1138 4 0 2 2 2
3G4S_9 0.85 0.77 0.95 20 2715 5 0 1 4 6
3GX2_A 0.73 0.54 1.00 15 1434 1 0 0 1 13
3IVN_B 0.80 0.65 1.00 15 888 0 0 0 0 8
3IZ4_A 0.46 0.33 0.66 31 25489 22 3 13 6 64
3IZF_C 0.88 0.83 0.94 29 2609 5 0 2 3 6
3J20_0 0.65 0.62 0.68 13 1200 6 1 5 0 8
3J20_1 0.69 0.60 0.80 12 1097 4 0 3 1 8
3J2L_3 0.84 0.74 0.96 25 2994 4 0 1 3 9
3JYV_7 0.84 0.80 0.89 16 1093 4 0 2 2 4
3JYX_4 0.72 0.75 0.69 9 4743 15 3 1 11 3
3JYX_3 0.76 0.73 0.79 11 2364 14 0 3 11 4
3LA5_A 0.80 0.64 1.00 16 938 0 0 0 0 9
3NPB_A 0.65 0.43 1.00 16 2262 2 0 0 2 21
3O58_2 1.00 1.00 1.00 31 2723 2 0 0 2 0
3O58_3 0.37 0.32 0.44 7 4748 13 4 5 4 15
3PDR_A 0.84 0.76 0.93 38 4799 3 1 2 0 12
3RKF_A 0.81 0.67 1.00 16 850 0 0 0 0 8
3SD1_A 0.82 0.83 0.83 24 1504 5 4 1 0 5
3ZEX_C 0.42 0.38 0.48 11 5351 16 2 10 4 18
3ZEX_D 0.90 0.86 0.94 30 2764 5 0 2 3 5
4A1C_3 0.72 0.59 0.88 22 2738 4 0 3 1 15
4A1C_2 0.22 0.25 0.20 5 4491 24 5 15 4 15
4AOB_A 0.87 0.76 1.00 22 1415 3 0 0 3 7
4ENB_A 0.51 0.27 1.00 4 468 0 0 0 0 11
4ENC_A 0.57 0.33 1.00 5 491 0 0 0 0 10
4FRG_B 0.19 0.17 0.25 4 1186 12 1 11 0 20

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