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Table 7 Chimera classification accuracies Perseus 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 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%)
  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 classification with a logistic regression given a 50% probability cut-off.