Table 7

Chimera classification accuracies Perseus applied to the three denoised V2 'Uneven' data sets.

Dataset

Uneven1

Uneven2

Uneven3


Classification

Good

Chimeric

Good

Chimeric

Good

Chimeric


Good

78 (83.0%)

16 (17.0%)

70 (90.9%)

7 (9.1%)

62 (82.7%)

13 (17.3%)

Bimera

7 (0.9%)

809 (99.1%)

9 (1.3%)

660 (98.7%)

10 (1.2%)

833 (98.8%)

Trimera

1 (1.2%)

80 (98.8%)

1 (1.4%)

70 (98.6%)

1 (1.2%)

81 (98.8%)

Quadramera

0 (0.0%)

1 (100.0%)

(0.0%)

2 (100.0%)

--

--

Unclassified

26 (19.7%)

106 (80.3%)

14 (35.0%)

26 (65.0%)

22 (41.5%)

31 (58.5%)


Each row gives a separate category of denoised sequence according to its true classification as 'Good', 'Bimera', 'Trimera', 'Quadramera' and 'Unclassified'. The columns are then split across data sets and give the number flagged as good or chimeric by classification with a logistic regression given a 50% probability cut-off.

Quince et al. BMC Bioinformatics 2011 12:38   doi:10.1186/1471-2105-12-38

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