RT Journal Article
SR Electronic
T1 UCHIME2: improved chimera prediction for amplicon sequencing
JF bioRxiv
FD Cold Spring Harbor Laboratory
SP 074252
DO 10.1101/074252
A1 Robert C. Edgar
YR 2016
UL http://biorxiv.org/content/early/2016/09/09/074252.abstract
AB Amplicon sequencing generates chimeric reads which can cause spurious inferences of biological variation. I describe UCHIME2, an update of the popular UCHIME chimera detection algorithm with new modes optimized for high-resolution biological sequence reconstruction (“denoising”) and other applications. I show that chimera frequency correlates inversely with divergence, that error-free chimera prediction from sequence is impossible in principle, and that UCHIME2 achieves higher detection accuracy than previous methods.