From hairballs to hypotheses–biological insights from microbial networks
Microbial networks are an increasingly popular tool to investigate microbial community
structure, as they integrate multiple types of information and may represent systems-level …
structure, as they integrate multiple types of information and may represent systems-level …
The use of next generation sequencing for improving food safety: Translation into practice
Abstract Next Generation Sequencing (NGS) combined with powerful bioinformatic
approaches are revolutionising food microbiology. Whole genome sequencing (WGS) of …
approaches are revolutionising food microbiology. Whole genome sequencing (WGS) of …
Primer, pipelines, parameters: issues in 16S rRNA gene sequencing
Short-amplicon 16S rRNA gene sequencing is currently the method of choice for studies
investigating microbiomes. However, comparative studies on differences in procedures are …
investigating microbiomes. However, comparative studies on differences in procedures are …
Optimizing taxonomic classification of marker-gene amplicon sequences with QIIME 2's q2-feature-classifier plugin
Background Taxonomic classification of marker-gene sequences is an important step in
microbiome analysis. Results We present q2-feature-classifier (https://github. com/qiime2/q2 …
microbiome analysis. Results We present q2-feature-classifier (https://github. com/qiime2/q2 …
Deblur rapidly resolves single-nucleotide community sequence patterns
High-throughput sequencing of 16S ribosomal RNA gene amplicons has facilitated
understanding of complex microbial communities, but the inherent noise in PCR and DNA …
understanding of complex microbial communities, but the inherent noise in PCR and DNA …
Denoising the Denoisers: an independent evaluation of microbiome sequence error-correction approaches
High-depth sequencing of universal marker genes such as the 16S rRNA gene is a common
strategy to profile microbial communities. Traditionally, sequence reads are clustered into …
strategy to profile microbial communities. Traditionally, sequence reads are clustered into …
Sequence clustering in bioinformatics: an empirical study
Sequence clustering is a basic bioinformatics task that is attracting renewed attention with
the development of metagenomics and microbiomics. The latest sequencing techniques …
the development of metagenomics and microbiomics. The latest sequencing techniques …
Microbiome diversity and dysbiosis in aquaculture
With the continuous growth of the human population and associated need for high‐quality
protein, the aquaculture sector will be required to increase significantly in productivity. This …
protein, the aquaculture sector will be required to increase significantly in productivity. This …
Controlling for contaminants in low-biomass 16S rRNA gene sequencing experiments
Microbial communities are commonly studied using culture-independent methods, such as
16S rRNA gene sequencing. However, one challenge in accurately characterizing microbial …
16S rRNA gene sequencing. However, one challenge in accurately characterizing microbial …
Metagenome-assembled genome binning methods with short reads disproportionately fail for plasmids and genomic islands
Metagenomic methods enable the simultaneous characterization of microbial communities
without time-consuming and bias-inducing culturing. Metagenome-assembled genome …
without time-consuming and bias-inducing culturing. Metagenome-assembled genome …