This article provides a systematic comparison of microbial source tracking (MST) methodologies, addressing critical needs for researchers and environmental health professionals.
Understanding microbial community assembly is pivotal for advancing biomedical research, from manipulating the human microbiome to developing novel antimicrobial strategies.
This article provides a comprehensive comparison of phenotypic and genotypic microbial identification methods for researchers, scientists, and drug development professionals.
Accurate microbial community analysis is paramount for advancing research in human health, biotechnology, and drug development.
This article provides researchers, scientists, and drug development professionals with a comprehensive framework for handling the compositional nature of microbiome data.
Hyperparameter selection is a critical yet challenging step in inferring accurate and biologically relevant microbial co-occurrence networks from high-dimensional, sparse microbiome data.
Amplicon sequencing is a powerful tool in molecular biology, yet its quantitative accuracy is fundamentally challenged by PCR amplification bias.
This article provides a comprehensive overview of the latest scientific advances and methodologies for cultivating previously unculturable microorganisms.
The analysis of microbiome data presents a unique set of computational and statistical challenges due to its high dimensionality, sparsity, compositionality, and complex dependencies.
This article provides a comprehensive overview of contemporary methods for analyzing microbial community dynamics, tailored for researchers and drug development professionals.