DynaPho: A web platform for inferring the dynamics of time-series phosphoproteomics
Journal
Bioinformatics
Journal Volume
33
Journal Issue
22
Pages
3664-3666
Date Issued
2017
Author(s)
Abstract
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.
SDGs
Publisher
Oxford University Press
Type
journal article