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.
The translation of microbiome research into clinically actionable biomarkers is fraught with methodological and conceptual challenges.
This article provides a comprehensive framework for integrating negative and positive controls to enhance the reliability of microbiome research.
Microbiome sequence data are inherently compositional, with relative abundances constrained by a constant sum, leading to spurious correlations and analytical challenges if ignored.
This article provides a comprehensive guide for researchers, scientists, and drug development professionals on managing cage effects and implementing cohousing strategies in animal microbiome studies.
Variation between batches of DNA extraction kits is a critical, often overlooked, source of technical bias in microbiome studies.
This article provides a comprehensive guide for researchers and drug development professionals on performing statistically sound power and sample size calculations for microbiome studies.