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Table of contents:

  1. Overview

  2. Performance Plots

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

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

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


Overview

Metric RNASampler(20) Murlet(20)
MCC 0.751 > 0.693
Average MCC ± 95% Confidence Intervals 0.774 ± 0.073 > 0.690 ± 0.070
Sensitivity 0.663 > 0.594
Positive Predictive Value 0.856 > 0.815
Total TP 594 > 532
Total TN 92168 < 92209
Total FP 209 > 202
Total FP CONTRA 41 > 25
Total FP INCONS 59 < 96
Total FP COMP 109 > 81
Total FN 302 < 364
P-value 3.56938820447e-08

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Performance plots


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

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

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

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

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

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

Total Base Pair Counts
Total TP 594
Total TN 92168
Total FP 209
Total FP CONTRA 41
Total FP INCONS 59
Total FP COMP 109
Total FN 302
Total Scores
MCC 0.751
Average MCC ± 95% Confidence Intervals 0.774 ± 0.073
Sensitivity 0.663
Positive Predictive Value 0.856
Nr of predictions 34

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2. Individual counts for RNASampler(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 0.94 0.94 0.94 17 339 2 0 1 1 1
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 2 0 0 2 7
2XQD_Y 0.98 0.95 1.00 20 1109 1 0 0 1 1
2XXA_G 0.34 0.11 1.00 4 2041 0 0 0 0 31
3A2K_C 0.98 0.95 1.00 21 1087 0 0 0 0 1
3AMU_B 0.95 0.95 0.95 18 1138 4 0 1 3 1
3G4S_9 0.73 0.54 1.00 14 2722 4 0 0 4 12
3GX2_A 0.88 0.79 1.00 22 1427 1 0 0 1 6
3IVN_B 0.91 0.83 1.00 19 884 0 0 0 0 4
3IZ4_A 0.52 0.41 0.65 39 25476 26 15 6 5 56
3IZF_C 0.92 0.86 1.00 30 2610 2 0 0 2 5
3J20_0 0.90 0.90 0.90 19 1198 3 1 1 1 2
3J20_1 1.00 1.00 1.00 20 1092 1 0 0 1 0
3J2L_3 0.56 0.50 0.63 17 2993 12 3 7 2 17
3JYV_7 0.97 0.95 1.00 19 1092 2 0 0 2 1
3JYX_4 0.61 0.83 0.45 10 4734 26 10 2 14 2
3JYX_3 0.70 0.60 0.82 9 2367 14 0 2 12 6
3LA5_A 0.89 0.80 1.00 20 934 0 0 0 0 5
3NPB_A 0.75 0.57 1.00 21 2257 5 0 0 5 16
3O58_2 0.93 0.87 1.00 27 2727 5 0 0 5 4
3O58_3 0.51 0.50 0.52 11 4743 19 5 5 9 11
3PDR_A 0.84 0.76 0.93 38 4799 5 1 2 2 12
3RKF_A 0.91 0.83 1.00 20 846 0 0 0 0 4
3SD1_A 0.81 0.69 0.95 20 1512 1 0 1 0 9
3ZEX_C 0.35 0.31 0.39 9 5351 21 3 11 7 20
3ZEX_D 0.83 0.69 1.00 24 2772 1 0 0 1 11
4A1C_3 0.90 0.81 1.00 30 2733 0 0 0 0 7
4A1C_2 0.24 0.25 0.24 5 4495 30 3 13 14 15
4AOB_A 0.70 0.59 0.85 17 1417 4 0 3 1 12
4ENB_A 0.68 0.47 1.00 7 465 0 0 0 0 8
4ENC_A 0.85 0.73 1.00 11 485 0 0 0 0 4
4FRG_B 0.64 0.54 0.76 13 1185 4 0 4 0 11

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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.