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Open AccessJournal ArticleDOI

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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Bark and Grape Microbiome of Vitis vinifera: Influence of Geographic Patterns and Agronomic Management on Bacterial Diversity.

TL;DR: The results show that grapevine bark harbors a rich epiphytic microbiota and displays a higher microbial biodiversity than grape berry, and suggests that geographic and anthropogenic factors impact both bark and grape bacteriomes, but to a different extent.
Journal ArticleDOI

It's the fiber, not the fat: significant effects of dietary challenge on the gut microbiome

TL;DR: It is shown that the choice of control diet has a significant impact on outcomes and interpretation related to diet effects on gut microbiota, and the reduction of soluble fiber may influence synthesis of microbial metabolites that are important for regulating metabolic, immune, behavioral, and neurobiological outcomes.
Journal ArticleDOI

Microbial communities of the house fly Musca domestica vary with geographical location and habitat

TL;DR: The results suggest that vectoring of a wide spectrum of environmental microbes occurs principally through the external fly body surface, while the internal microbiome is likely more limited by fly physiology.
Journal ArticleDOI

Human breast microbiome correlates with prognostic features and immunological signatures in breast cancer.

TL;DR: In this article, the authors used 16S rRNA gene sequencing to identify taxonomic groups associated with prognostic clinicopathologic features in breast cancer, and then used network analysis based on Spearman coefficients to correlate specific bacterial taxa with immunological data from NanoString gene expression and 65-plex cytokine assays.
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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The income and spending of senior high school students?

The provided paper is about the DADA2 software package for modeling and correcting Illumina-sequenced amplicon errors. It does not provide any information about the income and spending of senior high school students.

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.