Prostar

Prostar is a software tool dedicated to the differential analysis of quantitative data resulting from discovery proteomics experiments.

Prostar is easy to install (see our Zero-install page), easy to use (thanks to its Shiny-based click-button interface) and well-documented (see our reference page). Moreover, it has been regularly updated along years to provide state-of-the-art data science methodologies.

Citation

Maintaining Prostar as free software is a heavy duty. Please cite the following reference

S. Wieczorek, F. Combes, C. Lazar, Q. Giai-Gianetto, L. Gatto, A. Dorffer, A.-M. Hesse, Y. Coute;, M. Ferro, C. Bruley and T. Burger. DAPAR & ProStaR: software to perform statistical analyses in quantitative discovery proteomics. Bioinformatics 33(1), 135-136, 2017.
http://doi.org/10.1093/bioinformatics/btw580.

News

25/11/2024

Enjoy the Zero-install version of Prostar as well as the new Online demo!

  • Prostar version 1.38.1 has been released on the Bioconductor (release 3.20) and is deployed as a Zero-install zip.

16/01/2024

Meet us at Winterberg for EuBICS Winter school! (https://eubic-ms.org/events/2024-winter-school/).

To download for the Prostar workshop:

  • Download the zero install version of Prostar (Windows only) Prostar 1.36.3 zip

  • Or run it through Docker with the following command:

    docker run -it -p 80:3838 ghcr.io/edyp-lab/prostar:1.38.1

    Then, access it by the following link : Prostar

  • Alternatively, if you have R already installed, Prostar can be installed and launched with the following commands:

    pkgs <- c('edyp-lab/DAPARdata', 'edyp-lab/DAPAR', 'edyp-lab/Prostar')
install.packages('remotes')
remotes::install_github(pkgs, dependencies = TRUE, ref = RELEASE_3_20)
Prostar::Prostar()

It takes about 10 minutes to install Prostar and it dependencies from a new R installation

  • Several datasets will be used, they can be downloaded here.