CompaRNA - on-line benchmarks of RNA structure prediction methods
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Table of contents:

  1. Overview

  2. Performance Plots

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

  4. Performance of MCFold - scored lower in this pairwise comparison

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


Overview

Metric RNAalifold(seed) MCFold
MCC 0.608 > 0.476
Average MCC ± 95% Confidence Intervals 0.583 ± 0.091 > 0.543 ± 0.119
Sensitivity 0.408 < 0.492
Positive Predictive Value 0.909 > 0.467
Total TP 381 < 459
Total TN 139281 > 138718
Total FP 48 < 605
Total FP CONTRA 6 < 61
Total FP INCONS 32 < 462
Total FP COMP 10 < 82
Total FN 552 > 474
P-value 3.56938820447e-08

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Performance plots


  1. Comparison of performance of RNAalifold(seed) and MCFold. 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 RNAalifold(seed) and MCFold).

  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 RNAalifold(seed) and MCFold).

  3. Comparison of average Matthews Correlation Coefficients (MCCs) for RNAalifold(seed) and MCFold. 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 RNAalifold(seed) and MCFold).

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Performance of RNAalifold(seed) - scored higher in this pairwise comparison

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

Total Base Pair Counts
Total TP 381
Total TN 139281
Total FP 48
Total FP CONTRA 6
Total FP INCONS 32
Total FP COMP 10
Total FN 552
Total Scores
MCC 0.608
Average MCC ± 95% Confidence Intervals 0.583 ± 0.091
Sensitivity 0.408
Positive Predictive Value 0.909
Nr of predictions 31

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2. Individual counts for RNAalifold(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 0.97 0.95 1.00 18 1110 1 0 0 1 1
2KUR_A 0.95 0.90 1.00 19 1109 0 0 0 0 2
2KUU_A 0.92 0.86 1.00 18 1110 1 0 0 1 3
2KUV_A 0.93 0.86 1.00 19 1109 0 0 0 0 3
2KUW_A 0.84 0.76 0.94 16 1111 1 0 1 0 5
2KX8_A 0.00 0.00 0.00 0 861 0 0 0 0 18
2L1F_B 0.64 0.56 0.74 14 2126 5 0 5 0 11
2L1F_A 0.67 0.58 0.78 14 2062 4 0 4 0 10
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 0.59 0.35 1.00 7 4553 2 0 0 2 13
2XXA_G 0.46 0.21 1.00 9 5142 0 0 0 0 33
3A3A_A 0.71 0.51 1.00 19 3636 0 0 0 0 18
3GX2_A 0.74 0.55 1.00 22 4349 1 0 0 1 18
3IVN_B 0.61 0.48 0.79 15 2327 4 2 2 0 16
3J3E_8 0.00 0.00 0.00 0 7503 0 0 0 0 33
3J3F_8 0.50 0.25 1.00 9 12237 0 0 0 0 27
3JYX_4 0.46 0.21 1.00 7 12239 2 0 0 2 26
3LA5_A 0.63 0.47 0.84 16 2466 3 1 2 0 18
3O58_3 0.51 0.26 1.00 9 12394 0 0 0 0 26
3PDR_A 0.68 0.46 1.00 33 12847 1 0 0 1 39
3RKF_A 0.63 0.47 0.84 16 2192 3 1 2 0 18
3SD1_A 0.58 0.40 0.85 17 3896 3 1 2 0 25
3ZEX_C 0.42 0.17 1.00 9 14187 0 0 0 0 43
4A1C_2 0.39 0.15 1.00 5 11776 2 0 0 2 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 0.73 0.53 1.00 17 3469 0 0 0 0 15
4FRN_A 0.69 0.53 0.90 19 5130 2 1 1 0 17
4JF2_A 0.59 0.35 1.00 11 2839 0 0 0 0 20

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Performance of MCFold - scored lower in this pairwise comparison

1. Total counts & total scores for MCFold

Total Base Pair Counts
Total TP 459
Total TN 138718
Total FP 605
Total FP CONTRA 61
Total FP INCONS 462
Total FP COMP 82
Total FN 474
Total Scores
MCC 0.476
Average MCC ± 95% Confidence Intervals 0.543 ± 0.119
Sensitivity 0.492
Positive Predictive Value 0.467
Nr of predictions 31

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2. Individual counts for MCFold [ 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 1 0 0 1 1
2KE6_A 1.00 1.00 1.00 19 1109 2 0 0 2 0
2KUR_A 1.00 1.00 1.00 21 1107 0 0 0 0 0
2KUU_A 0.98 0.95 1.00 20 1108 1 0 0 1 1
2KUV_A 0.98 0.95 1.00 21 1107 0 0 0 0 1
2KUW_A 0.95 0.95 0.95 20 1107 1 0 1 0 1
2KX8_A 0.91 0.89 0.94 16 844 2 0 1 1 2
2L1F_B 0.73 0.76 0.70 19 2118 9 0 8 1 6
2L1F_A 0.72 0.75 0.69 18 2054 9 0 8 1 6
2L94_A 0.97 0.95 1.00 19 971 0 0 0 0 1
2LC8_A 0.41 0.45 0.39 9 1517 16 0 14 2 11
2XKV_B 0.20 0.25 0.17 5 4530 37 2 23 12 15
2XXA_G 0.23 0.24 0.24 10 5110 32 1 30 1 32
3A3A_A 0.89 0.86 0.91 32 3620 3 1 2 0 5
3GX2_A 0.47 0.48 0.48 19 4331 22 0 21 1 21
3IVN_B 0.39 0.39 0.40 12 2316 18 0 18 0 19
3J3E_8 0.12 0.12 0.12 4 7470 46 3 26 17 29
3J3F_8 0.13 0.17 0.11 6 12191 61 9 40 12 30
3JYX_4 0.20 0.24 0.17 8 12199 43 16 23 4 25
3LA5_A 0.32 0.32 0.34 11 2453 21 1 20 0 23
3O58_3 0.22 0.26 0.19 9 12355 45 9 30 6 26
3PDR_A 0.66 0.61 0.72 44 12819 19 0 17 2 28
3RKF_A 0.70 0.65 0.76 22 2182 7 1 6 0 12
3SD1_A 0.33 0.33 0.35 14 3876 26 0 26 0 28
3ZEX_C 0.24 0.21 0.28 11 14156 29 3 26 0 41
4A1C_2 0.13 0.15 0.11 5 11735 56 10 31 15 28
4ENB_A 0.61 0.63 0.60 12 1255 8 2 6 0 7
4ENC_A 0.28 0.32 0.27 6 1304 17 2 14 1 13
4FRG_B 0.32 0.34 0.31 11 3450 25 0 25 0 21
4FRN_A 0.12 0.14 0.12 5 5110 38 1 35 2 31
4JF2_A 0.66 0.68 0.66 21 2818 11 0 11 0 10

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