Quality-filtering vastly improves diversity estimates from Illumina amplicon sequencing View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2013-01

AUTHORS

Nicholas A Bokulich, Sathish Subramanian, Jeremiah J Faith, Dirk Gevers, Jeffrey I Gordon, Rob Knight, David A Mills, J Gregory Caporaso

ABSTRACT

High-throughput sequencing has revolutionized microbial ecology, but read quality remains a considerable barrier to accurate taxonomy assignment and α-diversity assessment for microbial communities. We demonstrate that high-quality read length and abundance are the primary factors differentiating correct from erroneous reads produced by Illumina GAIIx, HiSeq and MiSeq instruments. We present guidelines for user-defined quality-filtering strategies, enabling efficient extraction of high-quality data and facilitating interpretation of Illumina sequencing results. More... »

PAGES

57

Identifiers

URI

http://scigraph.springernature.com/pub.10.1038/nmeth.2276

DOI

http://dx.doi.org/10.1038/nmeth.2276

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1039195944

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/23202435


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