Skip to main content
. 2019 Aug 7;9:11475. doi: 10.1038/s41598-019-47857-3

Table 2.

Performance metrics for RUBRIC selective sequencing experiments including preliminary lambda DNA runs A1 through B1, mainline lambda experiments B2 through E2, and application examples F and G.

A1 A2 B1 B1* B2 C D E1 E2 E2* F F* G G*
Odd Reads/min 1644 1464 1873 2426 2185 1040 2700 1163 1465 1465 2095 2117 1560 1480
In-Threshold Reads/pore/min 826.3 899.3 296.6 371.0 390.5 558.3 243.7 155.3 203.7 205.0 99.95 104.0 297.4 292.5
Odd Reads/pore/min 8.959 8.596 10.39 11.40 11.95 6.868 13.02 6.032 7.846 7.834 9.999 9.975 12.82 13.17
In-Thresh Reads/pore/min 4.485 5.366 1.668 1.768 2.062 4.045 1.198 0.779 1.061 1.065 0.474 0.490 2.469 2.619
Average Pore Vacancy 70.2% 64.6% 65.2% 71.0% 72.0% 65.2% 77.2% 81.9% 84.0% 83.9% 98.3% 98.3% 78.2% 77.2%
Absolute Sequence Enrichmenta,b 0.578 0.759 0.135 0.972 0.987 0.949 0.888 0.756 0.940 0.939 0.413 0.422 1.128 1.149
Absolute Read Enrichmenta,c 0.580 0.782 0.134 0.949 1.021 0.926 0.797 0.761 0.902 0.901 0.449 0.456 1.010 1.055
Relative Read Enrichmenta,d 1.674 216.5 362.2 209.3 198.4 329.5 182.2 160.9 131.3 136.5 281.8 289.1 298.3 288.0
Throughput Ratioa,e 1.102 1.293 1.025 1.181 1.212 1.271 1.185 1.067 0.920 0.924 1.081 1.092 1.082 1.093
Decision Efficiencyf 63.6% 72.1% 14.7% 94.0% 99.3% 86.1% 98.8% 99.4% 99.5% 99.5% 97.6% 97.7% 99.3% 99.9%
Timeout Fractiong 44.7% 4.5% 100.0% 98.4% 96.0% 44.7% 99.8% 0.0% 0.0% 0.0% 0.0% 0.0% 97.5% 82.6%
Threshold Filterh Sensitivity 0.988 0.985 0.973 0.979 0.929 0.987 0.892 0.799 0.952 0.951 0.282 0.263 0.972 0.972
Specificity 0.581 0.540 0.919 0.931 0.918 0.566 0.965 0.920 0.902 0.902 0.956 0.955 0.917 0.917
Precision 0.135 0.089 0.525 0.508 0.462 0.114 0.566 0.372 0.373 0.372 0.010 0.009 0.583 0.593
Accuracy (MCC) 0.276 0.215 0.682 0.678 0.621 0.249 0.693 0.508 0.562 0.561 0.046 0.041 0.718 0.724
Skip/Sequence Decisionh Sensitivity 0.996 0.992 0.915 0.915 0.859 0.991 0.884 0.930 0.902 0.904 0.961 0.965 0.804 0.795
Specificity 0.584 0.982 0.995 0.995 0.993 0.985 0.991 0.951 0.963 0.963 0.998 0.998 0.996 0.996
Precision 0.122 0.765 0.976 0.976 0.962 0.853 0.962 0.793 0.801 0.802 0.715 0.714 0.457 0.475
Accuracy (MCC) 0.266 0.863 0.934 0.934 0.892 0.913 0.904 0.828 0.824 0.825 0.828 0.829 0.604 0.612
RUBRIC Overallh Sensitivity 0.633 0.717 0.133 0.832 0.795 0.847 0.790 0.799 0.865 0.866 0.602 0.599 0.771 0.776
Specificity 0.884 0.994 1.000 1.000 0.999 0.994 0.999 0.995 0.995 0.995 1.000 1.000 0.999 0.999
Precision 0.122 0.765 0.976 0.976 0.962 0.853 0.962 0.793 0.801 0.802 0.715 0.714 0.457 0.475
Accuracy (MCC) 0.240 0.734 0.355 0.899 0.871 0.844 0.870 0.791 0.829 0.830 0.656 0.654 0.593 0.607

aNormalized with respect to even and odd total active pore times indicated in Supplementary Table S1.

bCumulative sequence decision target read length/cumulative odd target read length.

cSequence decision target read count/odd target read count.

dSequence decision target/non-target read count divided by odd target/non-target read count.

eEven sampled read count/odd sampled read count.

f% of in-threshold reads receiving a skip or sequence decision.

g% of undecided reads not receiving a decision due to the RUBRIC 2-second queue timeout period.

hBinary classifier-based performance metrics are detailed in Supplementary Section S1.

*Dataset time-filtered to eliminate reads from periods of failed skipping, see Supplemental Section S3.