Department of Computer Science, Virginia Tech, Blacksburg, VA 24061, USA.
Biology Department, Reed College, Portland, OR 97202, USA.
Bioinformatics. 2017 Oct 1;33(19):3134-3136. doi: 10.1093/bioinformatics/btx382.
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.
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.
Supplementary data are available at Bioinformatics online.
网络在系统生物学中已无处不在。可视化是其分析的关键组成部分。然而,网络生物学研究团队内部的合作受到软件系统的阻碍,这些系统要么特定于计算算法,要么创建没有生物学意义的可视化效果,要么用于共享网络和可视化效果的功能有限。我们提出了 GraphSpace,这是一个基于网络的平台,通过允许合作研究小组轻松存储、交互、布局和共享网络,促进团队科学。
任何人都可以在 http://graphspace.org 上上传和共享网络。此外,如果用户希望运行自己的服务器,GraphSpace 的代码可在 http://github.com/Murali-group/graphspace 获得。
补充数据可在 Bioinformatics 在线获得。