Reproducibility in microbiome bioinformatics is paramount for translating microbial signatures into clinical and pharmaceutical applications.

The translation of microbiome research into clinically actionable biomarkers is fraught with methodological and conceptual challenges.

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 overview for researchers and drug development professionals on the integration of microbiome multi-omics data, with a special focus on metabolomics.

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 guide to alpha and beta diversity indices, essential tools for analyzing microbial communities in microbiome research.

This article provides a comprehensive guide to normalization and filtering for 16S rRNA and shotgun metagenomic data, tailored for researchers and drug development professionals.

This article provides a comprehensive guide for researchers and drug development professionals on performing statistically sound power and sample size calculations for 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 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 framework for designing and validating cross-sectional and longitudinal microbiome studies, specifically tailored for researchers, scientists, and drug development professionals.

This article examines the paradigm-shifting controversy surrounding the existence of microbiomes in human sites traditionally considered sterile, such as the placenta, blood, and brain.