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Version 2. F1000Res. 2015 Aug 5 [revised 2015 Sep 28];4:485. doi: 10.12688/f1000research.6836.2. eCollection 2015.

iCTNet2: integrating heterogeneous biological interactions to understand complex traits.

Author information

1
School of Computing, Queen's University, Kingston, Ontario, K7L 3N6, Canada.
2
Graduate Program in Biological and Medical Informatics, University of California, San Francisco, San Francisco, CA, 94143-0523, USA.
3
Department of Neurology, University of California San Francisco, San Francisco, CA, 94158, USA.
4
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.

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.

KEYWORDS:

big data integration; disease ontology; drug re-purposing; heterogeneous network

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