Deblur Rapidly Resolves Single-Nucleotide Community Sequence Patterns

• DOI: 10.1128/msystems.00191-16
• Publication Date: 2017-03-08T01:30:26Z
• Authors: Amnon Amir; Daniel McDonald; Jose A. Navas-Molina; Evguenia Kopylova; James T. Morton; Zhenjiang Zech Xu; Eric P. Kightley; Luke R. Thompson; Embriette R. Hyde; Antonio Gonzalez; Rob Knight
• Keywords: 0303 health sciences; Bioinformatics and Computational Biology; microbiome; Bioengineering; Observation; Biological Sciences; Microbiology; QR1-502; 004; 03 medical and health sciences; Networking and Information Technology R&D (NITRD); Genetics; DNA sequencing; Infection; Biotechnology

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.