TROVE: a user-friendly tool for visualizing and analyzing cancer hallmarks in signaling networks
Author(s) -
Huey Eng Chua,
Sourav S. Bhowmick,
Jie Zheng
Publication year - 2017
Publication title -
bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.599
H-Index - 390
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/btx600
Subject(s) - computer science , annotation , software , license , data science , cancer , visualization , world wide web , biology , artificial intelligence , genetics , programming language , operating system
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.
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