Deblur Rapidly Resolves Single-Nucleotide Community Sequence Patterns
Amnon Amir(University of California San Diego), Daniel McDonald(University of California San Diego), José A. Navas-Molina(University of California San Diego), Evguenia Kopylova(University of California San Diego), James T. Morton(University of California San Diego), Zhenjiang Zech Xu(University of California San Diego), Eric P. Kightley(University of Colorado Boulder), Luke Thompson(University of California San Diego), Embriette R. Hyde(University of California San Diego), Antonio González(University of California San Diego), Rob Knight(University of California San Diego)
Cited by 1,959Open Access
Abstract
Deblur provides a rapid and sensitive means to assess ecological patterns driven by differentiation of closely related taxa. This algorithm provides a solution to the problem of identifying real ecological differences between taxa whose amplicons differ by a single base pair, is applicable in an automated fashion to large-scale sequencing data sets, and can integrate sequencing runs collected over time.
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