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Table 8 Chimera classification accuracies for ChimeraSlayer applied to the three denoised V2 'Uneven' data sets.

From: Removing Noise From Pyrosequenced Amplicons

Dataset Uneven1 Uneven2 Uneven3
Classification Good Chimeric Good Chimeric Good Chimeric
Good 86 (91.5%) 8 (8.5%) 72 (93.5%) 5 (6.5%) 72 (96.0%) 3 (4.0%)
Bimera 125 (15.3%) 688 (84.3%) 98 (14.6%) 571 (85.4%) 108 (12.8%) 735 (87.2%)
Trimera 20 (24.7%) 61 (75.3%) 13 (18.3%) 58 (81.7%) 15 (18.3%) 67 (81.7%)
Quadramera 0(0.0%) 1 (100.0%) (0.0%) 1 (50.0%) -- --
Unclassified 55 (41.7%) 76 (57.6%) 15 (37.5%) 26 (62.5%) 27 (50.9%) 24 (45.3%)
  1. 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 ChimeraSlayer at 50% bootstrap. Occasionally a sequence remained unclassified probably because there was no good NAST alignment. Consequently rows do not alway sum to 100%. The Broad Institute 'Gold' 16S rRNA sequences were used as references.