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

Summary 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. Availability and implementation DynaPho is freely available at http://dynapho.jhlab.tw/. Contact hsuancheng@ym.edu.tw or yukijuan@ntu.edu.tw. Supplementary information Supplementary data are available at Bioinformatics online.