Literature DB >> 26229598

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

Yan He1, J Gregory Caporaso2, Xiao-Tao Jiang1, Hua-Fang Sheng1, Susan M Huse3, Jai Ram Rideout4, Robert C Edgar5, Evguenia Kopylova6, William A Walters7, Rob Knight8, Hong-Wei Zhou1.   

Abstract

[This corrects the article DOI: 10.1186/s40168-015-0081-x.].

Entities:  

Year:  2015        PMID: 26229598      PMCID: PMC4520016          DOI: 10.1186/s40168-015-0098-1

Source DB:  PubMed          Journal:  Microbiome        ISSN: 2049-2618            Impact factor:   14.650


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]”.
  5 in total

1.  Search and clustering orders of magnitude faster than BLAST.

Authors:  Robert C Edgar
Journal:  Bioinformatics       Date:  2010-08-12       Impact factor: 6.937

2.  UPARSE: highly accurate OTU sequences from microbial amplicon reads.

Authors:  Robert C Edgar
Journal:  Nat Methods       Date:  2013-08-18       Impact factor: 28.547

3.  Assessing and improving methods used in operational taxonomic unit-based approaches for 16S rRNA gene sequence analysis.

Authors:  Patrick D Schloss; Sarah L Westcott
Journal:  Appl Environ Microbiol       Date:  2011-03-18       Impact factor: 4.792

4.  Two-stage clustering (TSC): a pipeline for selecting operational taxonomic units for the high-throughput sequencing of PCR amplicons.

Authors:  Xiao-Tao Jiang; Hai Zhang; Hua-Fang Sheng; Yu Wang; Yan He; Fei Zou; Hong-Wei Zhou
Journal:  PLoS One       Date:  2012-01-11       Impact factor: 3.240

5.  Stability of operational taxonomic units: an important but neglected property for analyzing microbial diversity.

Authors:  Yan He; J Gregory Caporaso; Xiao-Tao Jiang; Hua-Fang Sheng; Susan M Huse; Jai Ram Rideout; Robert C Edgar; Evguenia Kopylova; William A Walters; Rob Knight; Hong-Wei Zhou
Journal:  Microbiome       Date:  2015-05-20       Impact factor: 14.650

  5 in total
  2 in total

1.  MicroPheno: predicting environments and host phenotypes from 16S rRNA gene sequencing using a k-mer based representation of shallow sub-samples.

Authors:  Ehsaneddin Asgari; Kiavash Garakani; Alice C McHardy; Mohammad R K Mofrad
Journal:  Bioinformatics       Date:  2018-07-01       Impact factor: 6.937

2.  SLIDR and SLOPPR: flexible identification of spliced leader trans-splicing and prediction of eukaryotic operons from RNA-Seq data.

Authors:  Marius A Wenzel; Berndt Müller; Jonathan Pettitt
Journal:  BMC Bioinformatics       Date:  2021-03-22       Impact factor: 3.169

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.