Rapidly increasing amounts of molecular interaction data are being produced by various
experimental techniques and computational prediction methods. In order to gain insight into …

The increasing availability of large network datasets along with the progresses in
experimental high-throughput technologies have prompted the need for tools allowing easy …

Background and scope Nowadays, centrality analysis has become a principal method for
identifying essential proteins in biological networks. Here we present CytoNCA, a Cytoscape …

Computational analysis and interactive visualization of biological networks and protein
structures are common tasks for gaining insight into biological processes. This protocol …

TopoGSA (Topology-based Gene Set Analysis) is a web-application dedicated to the
computation and visualization of network topological properties for gene and protein sets in …

Biological networks are a topic of great current interest, particularly with the publication of a
number of large genome‐wide interaction datasets. They are globally characterized by a …

The growing dimension and complexity of the available experimental data generating
biological networks have increased the need for tools that help in categorizing nodes by …

Nowadays, cluster analysis of biological networks has become one of the most important
approaches to identifying functional modules as well as predicting protein complexes and …

In the past two decades, great efforts have been devoted to extract the dependence and
interplay between structure and functions in biological networks because they have strong …

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 …