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Erratum to: Stability of operational taxonomic units: an important but neglected property for analyzing microbial diversity

The Original Article was published on 20 May 2015

Correction

After publication of this work [1], we noted that one of the references in the introduction was not described properly. With respect to the original authors, we clarify that this sentence in introduction: “Due to the lack of a gold standard of ‘correct’ OTUs, several measurements have been used to evaluate the performance of clustering methods, for example, rationality of OTU structure [2, 3], computational efficiency (that is, runtime and memory requirements) [4], and the ability to cope with OTU inflation [5]” should be stated as “Due to the lack of a gold standard of ‘correct’ OTUs, several measurements have been used to evaluate the performance of clustering methods, for example, rationality of OTU structure [2], use of the Matthew’s Correlation Coefficient [3], computational efficiency (that is, runtime and memory requirements) [4], and the ability to cope with OTU inflation [5]”.

References

  1. 1.

    He Y, Caporaso JG, Jiang XT, Sheng HF, Huse SM, Rideout JR, et al. Stability of operational taxonomic units: an important but neglected property for analyzing microbial diversity. Microbiome. 2015;3:20.

    PubMed Central  PubMed  Article  Google Scholar 

  2. 2.

    Jiang X-T, Zhang H, Sheng H-F, Wang Y, He Y, Zou F, et al. Two-Stage Clustering (TSC): a pipeline for selecting operational taxonomic units for the high-throughput sequencing of PCR amplicons. PLoS ONE. 2012;7.

  3. 3.

    Schloss PD, Westcott SL. Assessing and improving methods used in operational taxonomic unit-based approaches for 16S rRNA gene sequence analysis. Appl Environ Microbiol. 2011;77:3219–26.

    CAS  PubMed Central  PubMed  Article  Google Scholar 

  4. 4.

    Edgar RC. Search and clustering orders of magnitude faster than BLAST. Bioinformatics. 2010;26:2460–1.

    CAS  PubMed  Article  Google Scholar 

  5. 5.

    Edgar RC. UPARSE: highly accurate OTU sequences from microbial amplicon reads. Nat Methods. 2013;10:996–8.

    CAS  PubMed  Article  Google Scholar 

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Correspondence to Hong-Wei Zhou.

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The authors declare that they have no competing interests.

Authors’ contributions

YH, XTJ, SMH, RK, and HWZ conceived the method; JGC, JRR, RCE, and WAW implemented the software; YH, XTJ, JGC, HFS, SMH, and HWZ performed the experiments and analyzed the data; YH, SMH, JGC, JK, EK, RK, and HWZ wrote the manuscript. All authors read and approved the final manuscript.

The online version of the original article can be found under doi:10.1186/s40168-015-0081-x.

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He, Y., Caporaso, J.G., Jiang, XT. et al. Erratum to: Stability of operational taxonomic units: an important but neglected property for analyzing microbial diversity. Microbiome 3, 34 (2015). https://doi.org/10.1186/s40168-015-0098-1

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