This article provides a systematic framework for selecting and interpreting microbial diversity metrics in biomedical research.
This article provides a comprehensive framework for the validation of metagenomic classifiers, essential tools for unbiased pathogen detection and microbiome analysis in clinical and pharmaceutical research.
This article provides a comprehensive overview of strain-level resolution using shotgun metagenomics, a transformative approach for analyzing microbial communities beyond the species level.
This article provides a comprehensive comparison between 16S rRNA inferred functional profiling and direct shotgun metagenomic sequencing for researchers and drug development professionals.
The accurate detection and quantification of low-abundance microorganisms are critical for a comprehensive understanding of the microbiome's role in human health and disease.
This article explores shallow shotgun metagenomic sequencing (SSMS) as a powerful, cost-effective methodology bridging the gap between 16S rRNA gene sequencing and deep shotgun metagenomics.
This article provides a comprehensive framework for researchers and drug development professionals to optimize PCR cycle numbers in 16S rRNA gene sequencing protocols.
Accurate 16S rRNA gene sequencing of low biomass samples is critical for exploring microbiomes in environments like the respiratory tract, tissues, and clinical specimens, but it is fraught with challenges...
Shotgun metagenomics has revolutionized microbiome research, but its application in host-derived samples is severely limited by the overwhelming abundance of host DNA.
This article provides a comprehensive overview of functional profiling from shotgun metagenomic data, a powerful approach for decoding the functional potential of microbial communities.