title: iCTNet2: integrating heterogeneous biological interactions to understand complex traits.
abstract: iCTNet (integrated Complex Traits Networks) version 2 is a Cytoscape app and database that allows researchers to build heterogeneous networks by integrating a variety of biological interactions, thus offering a systems-level view of human complex traits. iCTNet2 is built from a variety of large-scale biological datasets, collected from public repositories to facilitate the building, visualization and analysis of heterogeneous biological networks in a comprehensive fashion via the Cytoscape platform. iCTNet2 is freely available at the Cytoscape app store.
authors: School of Computing, Queen's University, Kingston, Ontario, K7L 3N6, Canada.
authors: Lili
authors: L
authors: Wang
authors: Graduate Program in Biological and Medical Informatics, University of California, San Francisco, San Francisco, CA, 94143-0523, USA.
authors: Daniel S
authors: DS
authors: Himmelstein
authors: Department of Neurology, University of California San Francisco, San Francisco, CA, 94158, USA.
authors: Adam
authors: A
authors: Santaniello
authors: School of Computing, Queen's University, Kingston, Ontario, K7L 3N6, Canada.
authors: Mousavi
authors: M
authors: Parvin
authors: Department of Neurology, University of California San Francisco, San Francisco, CA, 94158, USA; Graduate Program in Biological and Medical Informatics, University of California, San Francisco, San Francisco, CA, 94143-0523, USA.
authors: Sergio E
authors: SE
authors: Baranzini
keywords: big data integration; disease ontology; drug re-purposing; heterogeneous network