Multi-resolution visualization and analysis of biomolecular networks through hierarchical community detection and web-based graphical tools.

ABSTRACT: The visual exploration and analysis of biomolecular networks is of paramount importance for identifying hidden and complex interaction patterns among proteins. Although many tools have been proposed for this task, they are mainly focused on the query and visualization of a single protein with its neighborhood. The global exploration of the entire network and the interpretation of its underlying structure still remains difficult, mainly due to the excessively large size of the biomolecular networks. In this paper we propose a novel multi-resolution representation and exploration approach that exploits hierarchical community detection algorithms for the identification of communities occurring in biomolecular networks. The proposed graphical rendering combines two types of nodes (protein and

SUBMITTER: Perlasca P 

PROVIDER: S-EPMC7755227 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature