Assessment of variation in microbial community amplicon sequencing by the Microbiome Quality Control (MBQC) project consortium View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2017-10-02

AUTHORS

Rashmi Sinha, Galeb Abu-Ali, Emily Vogtmann, Anthony A Fodor, Boyu Ren, Amnon Amir, Emma Schwager, Jonathan Crabtree, Siyuan Ma, Christian C Abnet, Rob Knight, Owen White, Curtis Huttenhower

ABSTRACT

The Microbiome Quality Control project consortium reports outcomes of a baseline study (MBQC) that will guide future improvements in reproducibility of microbiome analyses.

PAGES

1077-1086

References to SciGraph publications

  • 2011-12-01. An improved Greengenes taxonomy with explicit ranks for ecological and evolutionary analyses of bacteria and archaea in THE ISME JOURNAL: MULTIDISCIPLINARY JOURNAL OF MICROBIAL ECOLOGY
  • 2014-08-24. A comprehensive assessment of RNA-seq accuracy, reproducibility and information content by the Sequencing Quality Control Consortium in NATURE BIOTECHNOLOGY
  • 2012-03-08. Ultra-high-throughput microbial community analysis on the Illumina HiSeq and MiSeq platforms in THE ISME JOURNAL: MULTIDISCIPLINARY JOURNAL OF MICROBIAL ECOLOGY
  • 2013-07-04. Stochastic changes over time and not founder effects drive cage effects in microbial community assembly in a mouse model in THE ISME JOURNAL: MULTIDISCIPLINARY JOURNAL OF MICROBIAL ECOLOGY
  • 2012-06-13. Structure, function and diversity of the healthy human microbiome in NATURE
  • 2016-06-23. Comparison of placenta samples with contamination controls does not provide evidence for a distinct placenta microbiota in MICROBIOME
  • 2012-05-09. Human gut microbiome viewed across age and geography in NATURE
  • 2012-01-12. Selection of primers for optimal taxonomic classification of environmental 16S rRNA gene sequences in THE ISME JOURNAL: MULTIDISCIPLINARY JOURNAL OF MICROBIAL ECOLOGY
  • 2015-06-22. 16S rRNA gene-based profiling of the human infant gut microbiota is strongly influenced by sample processing and PCR primer choice in MICROBIOME
  • 2015-03-21. The truth about metagenomics: quantifying and counteracting bias in 16S rRNA studies in BMC MICROBIOLOGY
  • 2014-02-24. An improved dual-indexing approach for multiplexed 16S rRNA gene sequencing on the Illumina MiSeq platform in MICROBIOME
  • 2016-07-25. Systematic improvement of amplicon marker gene methods for increased accuracy in microbiome studies in NATURE BIOTECHNOLOGY
  • 2010-04-11. QIIME allows analysis of high-throughput community sequencing data in NATURE METHODS
  • 2014-11-12. Reagent and laboratory contamination can critically impact sequence-based microbiome analyses in BMC BIOLOGY
  • 2013-08-18. UPARSE: highly accurate OTU sequences from microbial amplicon reads in NATURE METHODS
  • 2016-06-24. 16S rRNA gene sequencing of mock microbial populations- impact of DNA extraction method, primer choice and sequencing platform in BMC MICROBIOLOGY
  • 2012-06-10. Metagenomic microbial community profiling using unique clade-specific marker genes in NATURE METHODS
  • 2010-03. A human gut microbial gene catalogue established by metagenomic sequencing in NATURE
  • 2015-01-04. Improved pipeline for reducing erroneous identification by 16S rRNA sequences using the Illumina MiSeq platform in JOURNAL OF MICROBIOLOGY
  • 2012-02-14. PANDAseq: paired-end assembler for illumina sequences in BMC BIOINFORMATICS
  • 2010-09-14. Tackling the widespread and critical impact of batch effects in high-throughput data in NATURE REVIEWS GENETICS
  • 2014-09-16. 16S rRNA gene pyrosequencing of reference and clinical samples and investigation of the temperature stability of microbiome profiles in MICROBIOME
  • 2012-06-13. A framework for human microbiome research in NATURE
  • 2016-01-14. A comprehensive benchmarking study of protocols and sequencing platforms for 16S rRNA community profiling in BMC GENOMICS
  • 2014-06-05. Choice of bacterial DNA extraction method from fecal material influences community structure as evaluated by metagenomic analysis in MICROBIOME
  • 2011-06-16. Illumina-based analysis of microbial community diversity in THE ISME JOURNAL: MULTIDISCIPLINARY JOURNAL OF MICROBIAL ECOLOGY
  • Journal

    TITLE

    Nature Biotechnology

    ISSUE

    11

    VOLUME

    35

    Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1038/nbt.3981

    DOI

    http://dx.doi.org/10.1038/nbt.3981

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1092061423

    PUBMED

    https://www.ncbi.nlm.nih.gov/pubmed/28967885


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