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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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Microbiota triggers STING-type I IFN-dependent monocyte reprogramming of the tumor microenvironment

TL;DR: In this paper, a mechanistic link between the microbiota and the tumor microenvironment (TME) was uncovered, which can be harnessed to improve cancer therapies and showed that the predicted intratumoral IFN-I and immune compositional differences between responder and non-responder individuals can be transferred by fecal microbiota transplantation.
Journal ArticleDOI

Rhizosphere bacteriome structure and functions

TL;DR: In this article , the authors used 557 pairs of published 16S rDNA amplicon sequences from the bulk soils and rhizosphere in different ecosystems around the world to generalize bacterial characteristics with respect to community diversity, composition, and functions.
Journal ArticleDOI

Gut Microbiome Diversity Is Associated with Sleep Physiology in Humans

TL;DR: Actigraphy is used to quantify sleep measures coupled with gut microbiome sampling to determine how the gut microbiome correlates with various measures of sleep physiology, and positive correlations between total microbiome diversity and interleukin-6, a cytokine previously noted for its effects on sleep are found.
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?

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