GraphSpace: stimulating interdisciplinary collaborations in network biology

Bioinformatics. 2017 Oct 1;33(19):3134-3136. doi: 10.1093/bioinformatics/btx382.

Abstract

Summary: Networks have become ubiquitous in systems biology. Visualization is a crucial component in their analysis. However, collaborations within research teams in network biology are hampered by software systems that are either specific to a computational algorithm, create visualizations that are not biologically meaningful, or have limited features for sharing networks and visualizations. We present GraphSpace, a web-based platform that fosters team science by allowing collaborating research groups to easily store, interact with, layout and share networks.

Availability and implementation: Anyone can upload and share networks at http://graphspace.org. In addition, the GraphSpace code is available at http://github.com/Murali-group/graphspace if a user wants to run his or her own server.

Contact: [email protected].

Supplementary information: Supplementary data are available at Bioinformatics online.

MeSH terms

  • Algorithms
  • Computational Biology
  • Interdisciplinary Communication
  • Software*
  • Systems Biology / methods*