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Table of contents:

  1. Overview

  2. Performance Plots

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

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

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


Overview

Metric Murlet(seed) Mastr(seed)
MCC 0.514 > 0.333
Average MCC ± 95% Confidence Intervals 0.523 ± 0.070 > 0.191 ± 0.134
Sensitivity 0.315 > 0.124
Positive Predictive Value 0.846 < 0.900
Total TP 297 > 117
Total TN 132034 < 132255
Total FP 60 > 15
Total FP CONTRA 6 > 0
Total FP INCONS 48 > 13
Total FP COMP 6 > 2
Total FN 646 < 826
P-value 5.23657817852e-08

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Performance plots


  1. Comparison of performance of Murlet(seed) and Mastr(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 Murlet(seed) and Mastr(seed)).

  2. Comparison of performance of Murlet(seed) and Mastr(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 Murlet(seed) and Mastr(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 Murlet(seed) and Mastr(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 Murlet(seed) and Mastr(seed)).

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

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

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

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

Total Base Pair Counts
Total TP 117
Total TN 132255
Total FP 15
Total FP CONTRA 0
Total FP INCONS 13
Total FP COMP 2
Total FN 826
Total Scores
MCC 0.333
Average MCC ± 95% Confidence Intervals 0.191 ± 0.134
Sensitivity 0.124
Positive Predictive Value 0.900
Nr of predictions 30

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2. Individual counts for Mastr(seed) [ download as .csv ]

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
2KDQ_B 0.00 0.00 0.00 0 406 0 0 0 0 11
2KE6_A 0.92 0.84 1.00 16 1112 1 0 0 1 3
2KUR_A 0.79 0.71 0.88 15 1111 2 0 2 0 6
2KUU_A 0.76 0.67 0.88 14 1112 3 0 2 1 7
2KUV_A 0.77 0.68 0.88 15 1111 2 0 2 0 7
2KUW_A 0.52 0.48 0.59 10 1111 7 0 7 0 11
2L1F_A 0.98 0.96 1.00 23 2057 0 0 0 0 1
2L1F_B 0.98 0.96 1.00 24 2121 0 0 0 0 1
2L94_A 0.00 0.00 0.00 0 990 0 0 0 0 20
2LC8_A 0.00 0.00 0.00 0 1540 0 0 0 0 20
2XKV_B 0.00 0.00 0.00 0 4560 0 0 0 0 20
2XXA_G 0.00 0.00 0.00 0 5151 0 0 0 0 42
3A3A_A 0.00 0.00 0.00 0 3655 0 0 0 0 37
3GX2_A 0.00 0.00 0.00 0 4371 0 0 0 0 40
3IVN_B 0.00 0.00 0.00 0 2346 0 0 0 0 31
3JYX_4 0.00 0.00 0.00 0 12246 0 0 0 0 33
3LA5_A 0.00 0.00 0.00 0 2485 0 0 0 0 34
3NPB_A 0.00 0.00 0.00 0 7021 0 0 0 0 46
3O58_3 0.00 0.00 0.00 0 12403 0 0 0 0 35
3PDR_A 0.00 0.00 0.00 0 12880 0 0 0 0 72
3RKF_A 0.00 0.00 0.00 0 2211 0 0 0 0 34
3SD1_A 0.00 0.00 0.00 0 3916 0 0 0 0 42
3W3S_B 0.00 0.00 0.00 0 4753 0 0 0 0 40
3ZEX_C 0.00 0.00 0.00 0 14196 0 0 0 0 52
4A1C_2 0.00 0.00 0.00 0 11781 0 0 0 0 33
4AOB_A 0.00 0.00 0.00 0 4371 0 0 0 0 42
4ENB_A 0.00 0.00 0.00 0 1275 0 0 0 0 19
4ENC_A 0.00 0.00 0.00 0 1326 0 0 0 0 19
4FRG_B 0.00 0.00 0.00 0 3486 0 0 0 0 32
4FRN_A 0.00 0.00 0.00 0 5151 0 0 0 0 36

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