Microbial networks are an increasingly popular tool to investigate microbial community
structure, as they integrate multiple types of information and may represent systems-level …

Microorganisms including bacteria, fungi, viruses, protists and archaea live as communities
in complex and contiguous environments. They engage in numerous inter-and intra …

Integrated network analysis pipeline (iNAP) is an online analysis pipeline for generating and
analyzing comprehensive ecological networks in microbiome studies. It is implemented in …

Correlation and association analyses are one of the most widely used statistical methods in
research fields, including microbiome and integrative multiomics studies. Correlation and …

Microbiota are now widely recognized as being central players in the health of all organisms
and ecosystems, and subsequently have been the subject of intense study. However …

Abstract Next Generation Sequencing (NGS) combined with powerful bioinformatic
approaches are revolutionising food microbiology. Whole genome sequencing (WGS) of …

Anthropogenic environments have been implicated in enrichment and exchange of antibiotic
resistance genes and bacteria. Here we study the impact of confined and controlled swine …

Recent advances in studying the dynamics of marine microbial communities have shown
that the composition of these communities follows predictable patterns and involves complex …

Microorganisms play a crucial role in the biological decomposition of plant litter in terrestrial
ecosystems. Due to the permanently changing litter quality during decomposition, studies of …

Correlation analyses are often included in bioinformatic pipelines as methods for inferring
taxon–taxon interactions. In this perspective, we highlight the pitfalls of inferring interactions …