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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(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 0.646 > 0.514
Average MCC ± 95% Confidence Intervals 0.644 ± 0.082 > 0.523 ± 0.070
Sensitivity 0.532 > 0.315
Positive Predictive Value 0.789 < 0.846
Total TP 502 > 297
Total TN 131749 < 132034
Total FP 203 > 60
Total FP CONTRA 19 > 6
Total FP INCONS 115 > 48
Total FP COMP 69 > 6
Total FN 441 < 646
P-value 3.56938820447e-08

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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. 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)).

  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(seed)).

  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(seed)).

  5. 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)).

  6. 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)).

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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 502
Total TN 131749
Total FP 203
Total FP CONTRA 19
Total FP INCONS 115
Total FP COMP 69
Total FN 441
Total Scores
MCC 0.646
Average MCC ± 95% Confidence Intervals 0.644 ± 0.082
Sensitivity 0.532
Positive Predictive Value 0.789
Nr of predictions 30

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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
2KE6_A 0.89 0.84 0.94 16 1111 2 0 1 1 3
2KUR_A 0.87 0.81 0.94 17 1110 1 0 1 0 4
2KUU_A 0.84 0.76 0.94 16 1111 2 0 1 1 5
2KUV_A 0.85 0.77 0.94 17 1110 1 0 1 0 5
2KUW_A 0.76 0.67 0.88 14 1112 2 0 2 0 7
2L1F_A 0.91 0.88 0.95 21 2058 1 0 1 0 3
2L1F_B 0.96 0.92 1.00 23 2122 0 0 0 0 2
2L94_A 0.57 0.55 0.61 11 972 7 0 7 0 9
2LC8_A -0.01 0.00 0.00 0 1530 12 0 10 2 20
2XKV_B 0.59 0.55 0.65 11 4543 18 0 6 12 9
2XXA_G 0.67 0.57 0.80 24 5121 7 0 6 1 18
3A3A_A 0.77 0.65 0.92 24 3629 3 0 2 1 13
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
3JYX_4 0.38 0.30 0.48 10 12225 21 3 8 10 23
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_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
3W3S_B 0.69 0.60 0.80 24 4723 6 0 6 0 16
3ZEX_C 0.32 0.19 0.53 10 14177 20 2 7 11 42
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
4FRN_A 0.62 0.53 0.73 19 5125 7 2 5 0 17

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

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

Total Base Pair Counts
Total TP 297
Total TN 132034
Total FP 60
Total FP CONTRA 6
Total FP INCONS 48
Total FP COMP 6
Total FN 646
Total Scores
MCC 0.514
Average MCC ± 95% Confidence Intervals 0.523 ± 0.070
Sensitivity 0.315
Positive Predictive Value 0.846
Nr of predictions 30

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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
3W3S_B 0.41 0.23 0.75 9 4741 3 0 3 0 31
3ZEX_C 0.37 0.13 1.00 7 14189 0 0 0 0 45
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
4FRG_B 0.15 0.09 0.25 3 3474 9 0 9 0 29
4FRN_A 0.58 0.39 0.88 14 5135 2 1 1 0 22

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