This article provides a comprehensive comparison of 16S rRNA gene sequencing and shotgun metagenomics for researchers and drug development professionals.
This article provides a comprehensive framework for researchers and drug development professionals to identify, understand, and control for major confounding factors in human microbiome studies.
This article provides a comprehensive guide to false discovery rate (FDR) control methods in microbiome differential abundance analysis for researchers and drug development professionals.
This comprehensive review examines the critical pathway for validating microbiome-based diagnostic biomarkers across diverse disease contexts.
This article synthesizes current international consensus and best practices for validating microbiome analysis approaches, targeting researchers and drug development professionals.
This article provides a comprehensive analysis for researchers and drug development professionals on the critical relationship between animal model findings and human studies in microbiome research.
This article provides a comprehensive framework for designing and validating cross-sectional and longitudinal microbiome studies, specifically tailored for researchers, scientists, and drug development professionals.
This article provides a comprehensive comparison of the major taxonomic databases—Greengenes, SILVA, and RDP—used in microbiome research.
Reproducibility in microbiome bioinformatics is paramount for translating microbial signatures into clinical and pharmaceutical applications.
Differential abundance (DA) analysis is a cornerstone of microbiome research, essential for identifying microbial biomarkers associated with health and disease.