CompaRNA - on-line benchmarks of RNA structure prediction methods
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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 RNAwolf - scored lower in this pairwise comparison

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


Overview

Metric MXScarna(seed) RNAwolf
MCC 0.774 > 0.502
Average MCC ± 95% Confidence Intervals 0.693 ± 0.098 > 0.484 ± 0.101
Sensitivity 0.740 > 0.502
Positive Predictive Value 0.810 > 0.503
Total TP 794 > 539
Total TN 475953 > 475862
Total FP 379 < 676
Total FP CONTRA 48 < 109
Total FP INCONS 138 < 423
Total FP COMP 193 > 144
Total FN 279 < 534
P-value 5.19332990918e-08

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Performance plots


  1. Comparison of performance of MXScarna(seed) and RNAwolf. 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 RNAwolf).

  2. 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 RNAwolf).

  3. Comparison of average Matthews Correlation Coefficients (MCCs) for MXScarna(seed) and RNAwolf. 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 RNAwolf).

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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 794
Total TN 475953
Total FP 379
Total FP CONTRA 48
Total FP INCONS 138
Total FP COMP 193
Total FN 279
Total Scores
MCC 0.774
Average MCC ± 95% Confidence Intervals 0.693 ± 0.098
Sensitivity 0.740
Positive Predictive Value 0.810
Nr of predictions 28

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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
2LC8_A -0.03 0.00 0.00 0 518 12 0 10 2 18
3AMU_B 0.97 0.95 1.00 18 1139 2 0 0 2 1
3J16_L 0.98 0.95 1.00 20 1139 0 0 0 0 1
3J20_1 0.97 0.95 1.00 19 1093 1 0 0 1 1
3J20_2 0.83 0.82 0.84 337 421969 147 14 48 85 75
3J20_0 0.90 0.86 0.95 18 1200 1 1 0 0 3
3J2L_3 0.79 0.76 0.81 26 2988 11 1 5 5 8
3J3E_7 0.87 0.88 0.86 30 2706 9 2 3 4 4
3J3E_8 0.23 0.20 0.27 3 2731 14 3 5 6 12
3J3F_7 0.93 0.94 0.92 34 2897 7 1 2 4 2
3J3F_8 0.48 0.47 0.50 9 4743 21 5 4 12 10
3J3V_B 0.85 0.81 0.88 22 2631 15 0 3 12 5
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 4 4 1 7
3UZL_B 0.83 0.75 0.92 12 1280 8 0 1 7 4
3W1K_J 0.92 0.90 0.93 28 1648 3 1 1 1 3
3W3S_B 0.74 0.70 0.79 23 1960 7 0 6 1 10
3ZEX_D 0.87 0.86 0.88 30 2762 11 0 4 7 5
3ZEX_C 0.39 0.31 0.50 9 5356 21 3 6 12 20
3ZND_W 0.59 0.63 0.56 5 1182 15 0 4 11 3
4A1C_3 0.92 0.92 0.92 34 2726 6 0 3 3 3
4A1C_2 0.45 0.40 0.50 8 4500 20 4 4 12 12
4AOB_A 0.71 0.69 0.74 20 1410 10 2 5 3 9
4ENB_A 0.54 0.40 0.75 6 464 2 0 2 0 9
4ENC_A 0.48 0.40 0.60 6 486 4 1 3 0 9
4FRG_B 0.49 0.42 0.59 10 1185 8 2 5 1 14
4FRN_A 0.70 0.68 0.73 19 1822 7 3 4 0 9
4JF2_A 0.41 0.33 0.53 8 1067 8 1 6 1 16

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Performance of RNAwolf - scored lower in this pairwise comparison

1. Total counts & total scores for RNAwolf

Total Base Pair Counts
Total TP 539
Total TN 475862
Total FP 676
Total FP CONTRA 109
Total FP INCONS 423
Total FP COMP 144
Total FN 534
Total Scores
MCC 0.502
Average MCC ± 95% Confidence Intervals 0.484 ± 0.101
Sensitivity 0.502
Positive Predictive Value 0.503
Nr of predictions 28

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2. Individual counts for RNAwolf [ download as .csv ]

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
2LC8_A 0.52 0.50 0.56 9 512 7 0 7 0 9
3AMU_B 0.77 0.79 0.75 15 1137 8 0 5 3 4
3J16_L 0.58 0.57 0.60 12 1139 9 2 6 1 9
3J20_1 0.53 0.55 0.52 11 1091 11 4 6 1 9
3J20_2 0.55 0.55 0.56 228 421959 243 27 154 62 184
3J20_0 0.54 0.57 0.52 12 1196 12 2 9 1 9
3J2L_3 0.71 0.71 0.73 24 2987 13 1 8 4 10
3J3E_7 0.57 0.56 0.59 19 2709 15 1 12 2 15
3J3E_8 -0.01 0.00 0.00 0 2719 37 6 17 14 15
3J3F_7 0.27 0.28 0.28 10 2898 27 4 22 1 26
3J3F_8 0.28 0.37 0.23 7 4730 39 9 15 15 12
3J3V_B 0.59 0.59 0.59 16 2629 16 1 10 5 11
3RKF_A 0.89 0.83 0.95 20 845 1 0 1 0 4
3SD1_A 0.58 0.59 0.59 17 1504 12 2 10 0 12
3UZL_B 0.93 0.88 1.00 14 1279 7 0 0 7 2
3W1K_J 0.81 0.77 0.86 24 1650 5 0 4 1 7
3W3S_B 0.70 0.70 0.72 23 1957 10 0 9 1 10
3ZEX_D 0.26 0.26 0.27 9 2763 24 8 16 0 26
3ZEX_C 0.08 0.10 0.07 3 5328 43 18 25 0 26
3ZND_W 0.67 0.75 0.60 6 1181 15 0 4 11 2
4A1C_3 0.32 0.30 0.35 11 2732 21 1 19 1 26
4A1C_2 0.12 0.15 0.10 3 4487 38 12 14 12 17
4AOB_A 0.26 0.24 0.30 7 1414 17 2 14 1 22
4ENB_A 0.45 0.40 0.55 6 461 5 1 4 0 9
4ENC_A 0.34 0.33 0.38 5 483 9 0 8 1 10
4FRG_B 0.54 0.50 0.60 12 1182 8 3 5 0 12
4FRN_A -0.01 0.00 0.00 0 1828 20 1 19 0 28
4JF2_A 0.72 0.67 0.80 16 1062 4 4 0 0 8

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