TROVE: a user-friendly tool for visualizing and analyzing cancer hallmarks in signaling networks
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Published on: January 12, 2020
Huey Eng Chua1, Sourav S Bhowmick1, Jie Zheng1
1School of Computer Science and Engineering, Nanyang Technological University, Singapore.
Summary:
Cancer hallmarks, a concept that seeks to explain the complexity of cancer initiation and development, provide a new perspective of studying cancer signaling which could lead to a greater understanding of this complex disease. However, to the best of our knowledge, there is currently a lack of tools that support such hallmark-based study of the cancer signaling network, thereby impeding the gain of knowledge in this area. We present TROVE, an user-friendly software that facilitates hallmark annotation, visualization and analysis in cancer signaling networks. In particular, TROVE facilitates hallmark analysis specific to particular cancer types.
Availability And Implementation:
Available under the Eclipse Public License from: https://sites.google.com/site/cosbyntu/softwares/trove and https://github.com/trove2017/Trove.
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