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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Current Protocols in...arrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
Current Protocols in Mouse Biology
Article . 2017 . Peer-reviewed
License: Wiley Online Library User Agreement
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Microbiota Analysis Using an Illumina MiSeq Platform to Sequence 16S rRNA Genes

Authors: Alexis, Rapin; Céline, Pattaroni; Benjamin J, Marsland; Nicola L, Harris;

Microbiota Analysis Using an Illumina MiSeq Platform to Sequence 16S rRNA Genes

Abstract

AbstractThe microbiota have been shown to play an important role in diverse biological processes including immunity, metabolism, and digestion. Assessing the exact composition of the microbiota has proven challenging due to the often unknown growth specificities of its members, and culture‐based approaches typically fail to capture the complete diversity of microorganisms present. Next Generation Sequencing (NGS) methods provide an efficient means to gather information about cultured and uncultured members of the microbiota. This article provides a method to characterize bacterial communities in terms of species composition using high‐throughput sequencing. Briefly, by extracting the entire DNA content of a microbiota sample and performing a targeted high‐throughput sequencing of the 16S rRNA gene, a phylogenetic marker for prokaryotes, prediction of the composition of the entire bacterial community is made possible. © 2017 by John Wiley & Sons, Inc.

Keywords

Mice, Bacteria, Microbiota, RNA, Ribosomal, 16S, Animals, High-Throughput Nucleotide Sequencing, Humans, Sequence Analysis, DNA, Polymerase Chain Reaction, Phylogeny

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    popularity
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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
48
Top 10%
Top 10%
Top 10%
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