Carlin Daniel E, Demchak Barry, Pratt Dexter, Sage Eric, Ideker Trey
Department of Medicine, University of California-San Diego, San Diego, California, United States of America.
PLoS Comput Biol. 2017 Oct 12;13(10):e1005598. doi: 10.1371/journal.pcbi.1005598. eCollection 2017 Oct.
Network propagation is an important and widely used algorithm in systems biology, with applications in protein function prediction, disease gene prioritization, and patient stratification. However, up to this point it has required significant expertise to run. Here we extend the popular network analysis program Cytoscape to perform network propagation as an integrated function. Such integration greatly increases the access to network propagation by putting it in the hands of biologists and linking it to the many other types of network analysis and visualization available through Cytoscape. We demonstrate the power and utility of the algorithm by identifying mutations conferring resistance to Vemurafenib.
网络传播是系统生物学中一种重要且广泛使用的算法,在蛋白质功能预测、疾病基因优先级排序和患者分层等方面有应用。然而,到目前为止,运行它需要相当多的专业知识。在这里,我们扩展了广受欢迎的网络分析程序Cytoscape,将网络传播作为一项集成功能来执行。这种集成通过将网络传播交到生物学家手中,并将其与通过Cytoscape可获得的许多其他类型的网络分析和可视化相联系,极大地增加了对网络传播的使用。我们通过识别赋予对维莫非尼耐药性的突变来证明该算法的强大功能和实用性。