ksong4/NetPhorce: Phosphoproteomics Network Analysis (NetPhorce)

Phosphorylation of proteins can regulate their turnover and activity, and phosphorylation at different sites can facilitate distinct programs of regulations. Studying phosphorylation relays in a network is thus important to understand plant responses, however, downstream analyses, including data-driven network inference, are still a bottleneck. We developed an R package and Shiny application, NetPhorce, which serves as a portal for users who have little or no experience in coding and mathematical analysis for exploratory and in-depth analyses of label-free phosphoproteomics data. The R package allows users to perform data filtering steps, quality control, statistical analysis, multiple data visualization, and network inference.

install.packages("remotes")
remotes::install_github("ksong4/NetPhorce")