Document Detail


Quality-filtering vastly improves diversity estimates from Illumina amplicon sequencing.
MedLine Citation:
PMID:  23202435     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
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.
Authors:
Nicholas A Bokulich; Sathish Subramanian; Jeremiah J Faith; Dirk Gevers; Jeffrey I Gordon; Rob Knight; David A Mills; J Gregory Caporaso
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Publication Detail:
Type:  Journal Article; Research Support, N.I.H., Extramural; Research Support, Non-U.S. Gov't     Date:  2012-12-02
Journal Detail:
Title:  Nature methods     Volume:  10     ISSN:  1548-7105     ISO Abbreviation:  Nat. Methods     Publication Date:  2013 Jan 
Date Detail:
Created Date:  2012-12-27     Completed Date:  2013-04-09     Revised Date:  2013-04-16    
Medline Journal Info:
Nlm Unique ID:  101215604     Medline TA:  Nat Methods     Country:  United States    
Other Details:
Languages:  eng     Pagination:  57-9     Citation Subset:  IM    
Affiliation:
Department of Viticulture and Enology, University of California, Davis, Davis, California, USA.
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MeSH Terms
Descriptor/Qualifier:
Biodiversity*
High-Throughput Nucleotide Sequencing / methods*
Humans
Quality Control*
Sequence Analysis, DNA / methods*
Grant Support
ID/Acronym/Agency:
DK78669/DK/NIDDK NIH HHS; P01 DK078669/DK/NIDDK NIH HHS; R01 HD059127/HD/NICHD NIH HHS; R01HD059127/HD/NICHD NIH HHS; U54HG004969/HG/NHGRI NIH HHS; //Howard Hughes Medical Institute

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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