Litcius/Paper detail

Cytoscape stringApp 2.0: Analysis and Visualization of Heterogeneous Biological Networks

Nadezhda T. Doncheva, John H. Morris, Henrietta Holze, Rebecca Kirsch, Katerina Nastou, Yesid Cuesta-Astroz, Thomas Rattei, Damian Szklarczyk, Christian von Mering, Lars Juhl Jensen

2022Journal of Proteome Research225 citationsDOIOpen Access PDF

Abstract

Biological networks are often used to represent complex biological systems, which can contain several types of entities. Analysis and visualization of such networks is supported by the Cytoscape software tool and its many apps. While earlier versions of stringApp focused on providing intraspecies protein-protein interactions from the STRING database, the new stringApp 2.0 greatly improves the support for heterogeneous networks. Here, we highlight new functionality that makes it possible to create networks that contain proteins and interactions from STRING as well as other biological entities and associations from other sources. We exemplify this by complementing a published SARS-CoV-2 interactome with interactions from STRING. We have also extended stringApp with new data and query functionality for protein-protein interactions between eukaryotic parasites and their hosts. We show how this can be used to retrieve and visualize a cross-species network for a malaria parasite, its host, and its vector. Finally, the latest stringApp version has an improved user interface, allows retrieval of both functional associations and physical interactions, and supports group-wise enrichment analysis of different parts of a network to aid biological interpretation. stringApp is freely available at https://apps.cytoscape.org/apps/stringapp.

Topics & Concepts

Computer scienceBiological networkInteractomeVisualizationInteraction networkProtein Interaction NetworksString (physics)Interface (matter)Biological dataComputational biologyProtein–protein interactionData miningBioinformaticsBiologyBubbleMaximum bubble pressure methodQuantum mechanicsBiochemistryGeneticsPhysicsGeneParallel computingBioinformatics and Genomic NetworksGenomics and Phylogenetic StudiesEvolution and Genetic Dynamics