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 Contrafold - scored lower in this pairwise comparison

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


Overview

Metric MXScarna(seed) Contrafold
MCC 0.786 > 0.707
Average MCC ± 95% Confidence Intervals 0.764 ± 0.062 > 0.743 ± 0.074
Sensitivity 0.749 > 0.727
Positive Predictive Value 0.825 > 0.690
Total TP 1281 > 1243
Total TN 550587 > 550337
Total FP 560 < 799
Total FP CONTRA 90 < 186
Total FP INCONS 181 < 373
Total FP COMP 289 > 240
Total FN 429 < 467
P-value 3.56938820447e-08

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Performance plots


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

  2. Comparison of performance of MXScarna(seed) and Contrafold. 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 Contrafold).

  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 Contrafold).

  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 Contrafold).

  5. Comparison of average Matthews Correlation Coefficients (MCCs) for MXScarna(seed) and Contrafold. 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 Contrafold).

  6. Comparison of average Matthews Correlation Coefficients (MCCs) for MXScarna(seed) and Contrafold. 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 Contrafold).

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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 1281
Total TN 550587
Total FP 560
Total FP CONTRA 90
Total FP INCONS 181
Total FP COMP 289
Total FN 429
Total Scores
MCC 0.786
Average MCC ± 95% Confidence Intervals 0.764 ± 0.062
Sensitivity 0.749
Positive Predictive Value 0.825
Nr of predictions 53

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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 1.00 1.00 1.00 10 164 0 0 0 0 0
2KE6_A 0.91 0.89 0.94 16 450 2 0 1 1 2
2KUR_A 0.92 0.89 0.94 17 449 1 0 1 0 2
2KUU_A 0.91 0.89 0.94 16 430 2 0 1 1 2
2KUV_A 0.92 0.89 0.94 17 421 1 0 1 0 2
2KUW_A 0.78 0.72 0.87 13 455 3 0 2 1 5
2KX8_A -0.01 0.00 0.00 0 369 2 0 2 0 16
2L1F_A 0.93 0.91 0.95 21 741 1 0 1 0 2
2L1F_B 0.98 0.96 1.00 23 768 0 0 0 0 1
2L94_A 0.55 0.56 0.59 10 340 8 0 7 1 8
2LC8_A -0.03 0.00 0.00 0 518 12 0 10 2 18
2WRQ_Y 1.00 1.00 1.00 9 1143 12 0 0 12 0
2WWQ_V 0.70 0.68 0.72 13 1186 7 0 5 2 6
2XKV_B 0.78 0.82 0.75 9 1823 20 0 3 17 2
2XQD_Y 0.85 0.81 0.89 17 1110 3 0 2 1 4
2XXA_G 0.74 0.69 0.80 24 2015 7 0 6 1 11
2ZZM_B 0.81 0.67 1.00 10 1348 9 0 0 9 5
2ZZN_D 0.95 0.91 1.00 20 964 0 0 0 0 2
3A2K_C 0.95 0.91 1.00 20 1088 0 0 0 0 2
3A3A_A 0.84 0.77 0.92 23 1475 4 0 2 2 7
3AKZ_H 1.00 1.00 1.00 20 1107 1 0 0 1 0
3AMU_B 0.97 0.95 1.00 18 1139 2 0 0 2 1
3GX2_A 0.83 0.82 0.85 23 1422 7 2 2 3 5
3IVN_B 0.69 0.57 0.87 13 888 2 2 0 0 10
3IYQ_A 0.44 0.47 0.41 24 22382 49 21 13 15 27
3IZ4_A 0.73 0.64 0.82 61 25462 22 12 1 9 34
3IZF_C 0.84 0.83 0.85 29 2606 11 0 5 6 6
3J16_L 0.98 0.95 1.00 20 1139 0 0 0 0 1
3J20_0 0.90 0.86 0.95 18 1200 1 1 0 0 3
3J20_2 0.83 0.82 0.84 337 421969 147 14 48 85 75
3J20_1 0.97 0.95 1.00 19 1093 1 0 0 1 1
3J2L_3 0.79 0.76 0.81 26 2988 11 1 5 5 8
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 21 6 1 14 2
3JYX_3 0.77 0.80 0.75 12 2362 24 0 4 20 3
3LA5_A 0.82 0.72 0.95 18 935 1 1 0 0 7
3NPB_A 0.76 0.70 0.84 26 2247 10 2 3 5 11
3O58_3 0.54 0.50 0.58 11 4745 20 5 3 12 11
3O58_2 0.93 0.94 0.94 29 2723 11 0 2 9 2
3PDR_A 0.87 0.88 0.86 44 4789 10 4 3 3 6
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
3W3S_B 0.74 0.70 0.79 23 1960 7 0 6 1 10
3ZEX_C 0.39 0.31 0.50 9 5356 21 3 6 12 20
3ZEX_D 0.87 0.86 0.88 30 2762 11 0 4 7 5
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

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Performance of Contrafold - scored lower in this pairwise comparison

1. Total counts & total scores for Contrafold

Total Base Pair Counts
Total TP 1243
Total TN 550337
Total FP 799
Total FP CONTRA 186
Total FP INCONS 373
Total FP COMP 240
Total FN 467
Total Scores
MCC 0.707
Average MCC ± 95% Confidence Intervals 0.743 ± 0.074
Sensitivity 0.727
Positive Predictive Value 0.690
Nr of predictions 53

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2. Individual counts for Contrafold [ 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
2KE6_A 1.00 1.00 1.00 18 449 1 0 0 1 0
2KUR_A 1.00 1.00 1.00 19 448 0 0 0 0 0
2KUU_A 1.00 1.00 1.00 18 429 1 0 0 1 0
2KUV_A 1.00 1.00 1.00 19 420 0 0 0 0 0
2KUW_A 1.00 1.00 1.00 18 452 1 0 0 1 0
2KX8_A 1.00 1.00 1.00 16 355 0 0 0 0 0
2L1F_A 1.00 1.00 1.00 23 740 0 0 0 0 0
2L1F_B 1.00 1.00 1.00 24 767 0 0 0 0 0
2L94_A 0.94 0.94 0.94 17 339 2 0 1 1 1
2LC8_A 0.46 0.39 0.58 7 516 5 3 2 0 11
2WRQ_Y 1.00 1.00 1.00 9 1143 14 0 0 14 0
2WWQ_V 1.00 1.00 1.00 19 1185 4 0 0 4 0
2XKV_B 0.64 0.73 0.57 8 1821 27 0 6 21 3
2XQD_Y 0.85 0.86 0.86 18 1108 4 0 3 1 3
2XXA_G 0.10 0.11 0.12 4 2012 30 2 27 1 31
2ZZM_B 0.80 0.80 0.80 12 1343 13 0 3 10 3
2ZZN_D 0.93 0.95 0.91 21 961 3 2 0 1 1
3A2K_C 0.49 0.55 0.46 12 1082 14 3 11 0 10
3A3A_A 0.97 0.93 1.00 28 1472 0 0 0 0 2
3AKZ_H 0.44 0.50 0.40 10 1102 18 6 9 3 10
3AMU_B 0.75 0.79 0.71 15 1136 9 0 6 3 4
3GX2_A 0.93 0.89 0.96 25 1423 2 1 0 1 3
3IVN_B 0.91 0.83 1.00 19 884 0 0 0 0 4
3IYQ_A 0.28 0.39 0.20 20 22341 95 44 35 16 31
3IZ4_A 0.57 0.58 0.57 55 25440 49 18 23 8 40
3IZF_C 0.89 0.91 0.86 32 2603 11 0 5 6 3
3J16_L 0.55 0.57 0.55 12 1137 10 3 7 0 9
3J20_0 0.53 0.57 0.50 12 1195 13 3 9 1 9
3J20_2 0.70 0.72 0.69 296 421939 197 27 106 64 116
3J20_1 1.00 1.00 1.00 20 1092 5 0 0 5 0
3J2L_3 0.74 0.76 0.72 26 2984 16 1 9 6 8
3JYV_7 -0.02 0.00 0.00 0 1091 20 4 16 0 20
3JYX_4 0.39 0.58 0.27 7 4730 35 13 6 16 5
3JYX_3 0.33 0.47 0.24 7 2349 24 16 6 2 8
3LA5_A 0.91 0.84 1.00 21 933 0 0 0 0 4
3NPB_A 0.86 0.84 0.89 31 2243 9 1 3 5 6
3O58_3 0.32 0.36 0.29 8 4736 21 7 13 1 14
3O58_2 0.92 0.94 0.91 29 2722 10 0 3 7 2
3PDR_A 0.83 0.86 0.80 43 4786 13 5 6 2 7
3RKF_A 0.87 0.83 0.91 20 844 2 2 0 0 4
3SD1_A 0.68 0.69 0.69 20 1504 9 5 4 0 9
3UZL_B 0.90 0.88 0.93 14 1278 8 0 1 7 2
3W3S_B 0.98 0.97 1.00 32 1957 1 0 0 1 1
3ZEX_C 0.35 0.34 0.37 10 5347 23 4 13 6 19
3ZEX_D 0.87 0.86 0.88 30 2762 11 0 4 7 5
4A1C_3 0.81 0.81 0.81 30 2726 10 0 7 3 7
4A1C_2 0.21 0.25 0.19 5 4489 33 9 13 11 15
4AOB_A 0.53 0.52 0.56 15 1410 13 3 9 1 14
4ENB_A 0.85 0.73 1.00 11 461 1 0 0 1 4
4ENC_A 0.85 0.73 1.00 11 485 1 0 0 1 4
4FRG_B 0.73 0.71 0.77 17 1180 5 3 2 0 7
4FRN_A 0.74 0.71 0.77 20 1822 6 1 5 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.