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DADA2: High-resolution sample inference from Illumina amplicon data

TLDR
The open-source software package DADA2 for modeling and correcting Illumina-sequenced amplicon errors is presented, revealing a diversity of previously undetected Lactobacillus crispatus variants.
Abstract: 
We present the open-source software package DADA2 for modeling and correcting Illumina-sequenced amplicon errors (https://github.com/benjjneb/dada2). DADA2 infers sample sequences exactly and resolves differences of as little as 1 nucleotide. In several mock communities, DADA2 identified more real variants and output fewer spurious sequences than other methods. We applied DADA2 to vaginal samples from a cohort of pregnant women, revealing a diversity of previously undetected Lactobacillus crispatus variants.

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Phylogenetic Placement of Exact Amplicon Sequences Improves Associations with Clinical Information

TL;DR: The SATé-enabled phylogenetic placement (SEPP) technique explicitly against 16S V4 sequence fragments is benchmarked and it is shown that it outperforms the conceptually problematic but often-used practice of reconstructing de novo phylogenies.
Journal ArticleDOI

Disease Suppressive Soils: New Insights from the Soil Microbiome.

TL;DR: A number of hypotheses about the nature and ecology of microbial populations and communities of suppressive soils are proposed and the potential and limitations of new molecular techniques that can provide novel ways of testing these hypotheses are outlined.
Journal ArticleDOI

Gut-microbiota-targeted diets modulate human immune status.

TL;DR: In this paper, a 17-week randomized, prospective study (n = 18/arm) combined with -omics measurements of microbiome and host, including extensive immune profiling, was conducted to determine how two microbiota-targeted dietary interventions, plant-based fiber and fermented foods, influence the human microbiome and immune system in healthy adults.
Journal ArticleDOI

New Insights into Human Nostril Microbiome from the Expanded Human Oral Microbiome Database (eHOMD): a Resource for the Microbiome of the Human Aerodigestive Tract.

TL;DR: The expanded Human Oral Microbiome Database (eHOMD) is a comprehensive microbiome database for sites along the human aerodigestive tract that revealed new insights into the nostrils microbiome, highlighting the strengths of the nostril microbiome as a model system for studying interspecies interactions and microbiome function.
References
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Journal ArticleDOI

UCHIME improves sensitivity and speed of chimera detection

TL;DR: UCHIME has better sensitivity than ChimeraSlayer (previously the most sensitive database method), especially with short, noisy sequences, and in testing on artificial bacterial communities with known composition, UCHIME de novo sensitivity is shown to be comparable to Perseus.
Journal ArticleDOI

UPARSE: highly accurate OTU sequences from microbial amplicon reads

Robert C. Edgar
- 01 Oct 2013 - 
TL;DR: The UPARSE pipeline reports operational taxonomic unit (OTU) sequences with ≤1% incorrect bases in artificial microbial community tests, compared with >3% correct bases commonly reported by other methods.
Journal ArticleDOI

Structure, function and diversity of the healthy human microbiome

Curtis Huttenhower, +253 more
- 14 Jun 2012 - 
TL;DR: The Human Microbiome Project Consortium reported the first results of their analysis of microbial communities from distinct, clinically relevant body habitats in a human cohort; the insights into the microbial communities of a healthy population lay foundations for future exploration of the epidemiology, ecology and translational applications of the human microbiome as discussed by the authors.
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How can I best normalise my samples from amplicon data?

The paper does not provide information on how to best normalize samples from amplicon data. The paper focuses on the DADA2 software package for modeling and correcting Illumina-sequenced amplicon errors.