DynaPho: a web platform for inferring the dynamics of time-series phosphoproteomics

作者：Hsu Chia Lang; Wang Jian Kai; Lu Pei Chun; Huang Hsuan Cheng^*; Juan Hsueh Fen^*

来源：Bioinformatics, 2017, 33(22): 3664-3666.

DOI：10.1093/bioinformatics/btx443

Large-scale phosphoproteomics studies have improved our understanding of dynamic cellular signaling, but the downstream analysis of phosphoproteomics data is still a bottleneck. We develop DynaPho, a useful web-based tool providing comprehensive and in-depth analyses of time-course phosphoproteomics data, making analysis intuitive and accessible to non-bioinformatics experts. The tool currently implements five analytic modules, which reveal the transition of biological pathways, kinase activity, dynamics of interaction networks and the predicted kinase-substrate associations. These features can assist users in translating their larger-scale time-course phosphoproteomics data into valuable biological discoveries.

• 出版日期2017-11-15