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      UPARSE: highly accurate OTU sequences from microbial amplicon reads.

      Nature Methods
      Algorithms, Databases, Genetic, Humans, Metagenomics, Microbiota, genetics, Phylogeny, RNA, Ribosomal, 16S, Research Design, Sensitivity and Specificity, Software

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          Abstract

          Amplified marker-gene sequences can be used to understand microbial community structure, but they suffer from a high level of sequencing and amplification artifacts. The UPARSE pipeline reports operational taxonomic unit (OTU) sequences with ≤1% incorrect bases in artificial microbial community tests, compared with >3% incorrect bases commonly reported by other methods. The improved accuracy results in far fewer OTUs, consistently closer to the expected number of species in a community.

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