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

  1. Overview

  2. Performance Plots

  3. Performance of RNASLOpt - scored higher in this pairwise comparison

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

  5. Compile and download dataset for RNASLOpt & NanoFolder [.zip] - may take several seconds...


Overview

Metric RNASLOpt NanoFolder
MCC 0.441 > 0.272
Average MCC ± 95% Confidence Intervals 0.467 ± 0.112 > 0.326 ± 0.081
Sensitivity 0.350 > 0.284
Positive Predictive Value 0.564 > 0.269
Total TP 346 > 281
Total TN 155664 > 155234
Total FP 305 < 805
Total FP CONTRA 24 < 93
Total FP INCONS 244 < 670
Total FP COMP 37 < 42
Total FN 643 < 708
P-value 3.56938820447e-08

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Performance plots


  1. Comparison of performance of RNASLOpt and NanoFolder. 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 RNASLOpt and NanoFolder).

  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 RNASLOpt and NanoFolder).

  3. Comparison of average Matthews Correlation Coefficients (MCCs) for RNASLOpt and NanoFolder. 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 RNASLOpt and NanoFolder).

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Performance of RNASLOpt - scored higher in this pairwise comparison

1. Total counts & total scores for RNASLOpt

Total Base Pair Counts
Total TP 346
Total TN 155664
Total FP 305
Total FP CONTRA 24
Total FP INCONS 244
Total FP COMP 37
Total FN 643
Total Scores
MCC 0.441
Average MCC ± 95% Confidence Intervals 0.467 ± 0.112
Sensitivity 0.350
Positive Predictive Value 0.564
Nr of predictions 26

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

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
2LC8_A 0.47 0.35 0.64 7 1529 4 0 4 0 13
2LKR_A - 0.68 0.62 0.75 24 6073 9 0 8 1 15
2M58_A - 0.32 0.24 0.44 4 1644 5 1 4 0 13
3J16_L 0.53 0.40 0.71 12 2758 5 0 5 0 18
3J20_1 0.96 0.91 1.00 21 2905 0 0 0 0 2
3J2L_3 0.56 0.43 0.72 23 7843 11 0 9 2 30
3J3D_C 0.82 0.71 0.95 20 2754 1 0 1 0 8
3J3E_8 0.00 0.00 0.00 0 7483 30 1 19 10 33
3J3E_7 0.48 0.35 0.66 19 7111 10 0 10 0 35
3J3F_8 0.34 0.33 0.35 12 12212 35 3 19 13 24
3J3F_7 0.18 0.16 0.22 8 7224 28 1 27 0 42
3J3V_B 0.46 0.33 0.63 19 6991 11 0 11 0 38
3U4M_B - 0.38 0.32 0.46 12 3134 14 0 14 0 25
3UZL_B 0.48 0.32 0.71 12 3553 5 0 5 0 25
3W3S_B 0.82 0.70 0.97 28 4724 2 0 1 1 12
3ZEX_D 0.76 0.59 0.97 29 6991 1 0 1 0 20
3ZEX_G - 0.00 0.00 0.00 0 16471 0 0 0 0 74
3ZEX_E - 0.00 0.00 0.00 0 21892 55 4 49 2 77
3ZND_W 0.21 0.22 0.22 5 2980 20 1 17 2 18
4A1C_3 0.67 0.52 0.88 28 7108 4 0 4 0 26
4A1C_2 0.23 0.24 0.22 8 11744 35 8 21 6 25
4AOB_A 0.26 0.19 0.38 8 4350 13 2 11 0 34
4ATO_G - 0.30 0.30 0.33 3 519 6 2 4 0 7
4ENC_A 0.65 0.47 0.90 9 1316 1 1 0 0 10
4JF2_A 0.78 0.61 1.00 19 2831 0 0 0 0 12
4JRC_A - 0.83 0.70 1.00 16 1524 0 0 0 0 7

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Performance of NanoFolder - scored lower in this pairwise comparison

1. Total counts & total scores for NanoFolder

Total Base Pair Counts
Total TP 281
Total TN 155234
Total FP 805
Total FP CONTRA 93
Total FP INCONS 670
Total FP COMP 42
Total FN 708
Total Scores
MCC 0.272
Average MCC ± 95% Confidence Intervals 0.326 ± 0.081
Sensitivity 0.284
Positive Predictive Value 0.269
Nr of predictions 26

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

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
2LC8_A 0.52 0.55 0.50 11 1518 11 0 11 0 9
2LKR_A - 0.29 0.33 0.25 13 6054 38 8 30 0 26
2M58_A - 0.43 0.47 0.40 8 1633 12 4 8 0 9
3J16_L 0.36 0.37 0.37 11 2745 19 3 16 0 19
3J20_1 0.41 0.48 0.37 11 2896 19 5 14 0 12
3J2L_3 0.11 0.11 0.12 6 7824 46 3 42 1 47
3J3D_C 0.70 0.71 0.69 20 2746 9 2 7 0 8
3J3E_8 0.00 0.00 0.00 0 7466 47 6 31 10 33
3J3E_7 0.35 0.33 0.37 18 7091 31 1 30 0 36
3J3F_8 0.27 0.33 0.22 12 12192 54 9 33 12 24
3J3F_7 0.17 0.18 0.17 9 7208 43 3 40 0 41
3J3V_B 0.24 0.23 0.27 13 6973 35 1 34 0 44
3U4M_B - 0.61 0.57 0.66 21 3128 11 1 10 0 16
3UZL_B 0.36 0.35 0.38 13 3536 21 3 18 0 24
3W3S_B 0.17 0.18 0.18 7 4713 34 1 32 1 33
3ZEX_D 0.26 0.27 0.27 13 6972 36 1 35 0 36
3ZEX_G - 0.05 0.05 0.05 4 16393 76 5 69 2 70
3ZEX_E - 0.03 0.04 0.03 3 21859 85 9 74 2 74
3ZND_W 0.18 0.22 0.17 5 2973 29 6 19 4 18
4A1C_3 0.48 0.46 0.51 25 7091 24 2 22 0 29
4A1C_2 0.00 0.00 0.00 0 11728 61 12 41 8 33
4AOB_A 0.33 0.29 0.39 12 4340 20 1 18 1 30
4ATO_G - 0.61 0.70 0.54 7 515 6 2 4 0 3
4ENC_A 0.57 0.58 0.58 11 1307 9 0 8 1 8
4JF2_A 0.51 0.55 0.49 17 2815 18 5 13 0 14
4JRC_A - 0.48 0.48 0.50 11 1518 11 0 11 0 12

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