DADA2: High-resolution sample inference from Illumina amplicon data View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2016-05-23

AUTHORS

Benjamin J Callahan, Paul J McMurdie, Michael J Rosen, Andrew W Han, Amy Jo A Johnson, Susan P Holmes

ABSTRACT

DADA2 is an open-source software package that denoises and removes sequencing errors from Illumina amplicon sequence data to distinguish microbial sample sequences differing by as little as a single nucleotide.

PAGES

581-583

References to SciGraph publications

  • 2010-04-11. QIIME allows analysis of high-throughput community sequencing data in NATURE METHODS
  • 2011-01-28. Removing Noise From Pyrosequenced Amplicons in BMC BIOINFORMATICS
  • 2014-07-11. Interpreting 16S metagenomic data without clustering to achieve sub-OTU resolution in THE ISME JOURNAL: MULTIDISCIPLINARY JOURNAL OF MICROBIAL ECOLOGY
  • 2012-10-31. Denoising PCR-amplified metagenome data in BMC BIOINFORMATICS
  • 2013-08-18. UPARSE: highly accurate OTU sequences from microbial amplicon reads in NATURE METHODS
  • 2014-10-17. Minimum entropy decomposition: Unsupervised oligotyping for sensitive partitioning of high-throughput marker gene sequences in THE ISME JOURNAL: MULTIDISCIPLINARY JOURNAL OF MICROBIAL ECOLOGY
  • 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
  • 2015-03-11. The vaginal microbiome during pregnancy and the postpartum period in a European population in SCIENTIFIC REPORTS
  • 2012-04-27. Fast, accurate error-correction of amplicon pyrosequences using Acacia in NATURE METHODS
  • 2014-09-09. The gut microbiota era marches on in NATURE REVIEWS GASTROENTEROLOGY & HEPATOLOGY
  • 2012-06-13. Structure, function and diversity of the healthy human microbiome in NATURE
  • 2010-09. Rapidly denoising pyrosequencing amplicon reads by exploiting rank-abundance distributions in NATURE METHODS
  • 2013-07-24. Accurate single nucleotide variant detection in viral populations by combining probabilistic clustering with a statistical test of strand bias in BMC GENOMICS
  • Journal

    TITLE

    Nature Methods

    ISSUE

    7

    VOLUME

    13

    Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1038/nmeth.3869

    DOI

    http://dx.doi.org/10.1038/nmeth.3869

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1016631324

    PUBMED

    https://www.ncbi.nlm.nih.gov/pubmed/27214047


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