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

Microbial association networks are frequently used for understanding and comparing
community dynamics from microbiome datasets. Inferring microbial correlations for such …

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 …

Background: The objectives of any metagenomic study typically include identification of
resident microbes and their relative proportions (taxonomic analysis), profiling functional …

Co-occurrence networks produced from microbial survey sequencing data are frequently
used to identify interactions between community members. While this approach has …

Motivation Estimating microbial association networks from high-throughput sequencing data
is a common exploratory data analysis approach aiming at understanding the complex …

Microorganisms engage in complex interactions with other members of the microbial
community, higher organisms as well as their environment. However, determining the exact …

The advent of large-scale microbiome studies affords newfound analytical opportunities to
understand how these communities of microbes operate and relate to their environment …

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

Background Host-microbe and microbe-microbe interactions are often governed by the
complex exchange of metabolites. Such interactions play a key role in determining the way …