Recent advancements in experimental high-throughput technologies have expanded the
availability and quantity of molecular data in biology. Given the importance of interactions in …

Networks are one of the most common ways to represent biological systems as complex sets
of binary interactions or relations between different bioentities. In this article, we discuss the …

There is a continuing debate on relative benefits of various mitigation and suppression
strategies aimed to control the spread of COVID-19. Here we report the results of agent …

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

A metagenomic approach and network analysis was used to investigate the wide-spectrum
profiles of antibiotic resistance genes (ARGs) and their co-occurrence patterns in 50 …

This work deals with the topic of information processing over graphs. The presentation is
largely self-contained and covers results that relate to the analysis and design of multi-agent …

Exploring large environmental datasets generated by high-throughput DNA sequencing
technologies requires new analytical approaches to move beyond the basic inventory …

Background As a recently discovered member of the DPANN superphylum,
Woesearchaeota account for a wide diversity of 16S rRNA gene sequences, but their …

The modern science of networks has brought significant advances to our understanding of
complex systems. One of the most relevant features of graphs representing real systems is …

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