Data-Driven Optimization of Mass Spectrometry Methods
Please read our detailed getting started guides:
This application has been tested on R >= 3.5.0, OSX 10.14 / Windows 7/8/10. R can be downloaded from the main R Project page or downloaded with the RStudio Application. All modules are maintained for MaxQuant >= 1.6.0.16.
The application suffers from visual glitches when displayed on unsupported older browsers (such as IE9 commonly packaged with RStudio on Windows). Please use IE >= 11, Firefox, or Chrome for the best user experience.
Install this application by downloading it from the release page.
The easiest way to run the app is directly through RStudio, by opening the DO-MS.Rproj Rproject file
and clicking the "Run App" button at the top of the application, after opening the server.R file. We recommend checking the "Run External" option to open the application in your default browser instead of the RStudio Viewer.
You can also start the application by running the start_server.R script.
You can automatically generate PDF/HTML reports without having to launch the server by running the do-ms_cmd.R script, like so:
$ Rscript do-ms_cmd.R config_file.yaml
This requires a configuration file, and you can find an example one here. See Automating Report Generation for more details and instructions.
DO-MS is designed to be easily user-customizable for in-house proteomics workflows. Please see Building Your Own Modules for more details.
Please see Hosting as a Server for more details.
This application is currently maintained for MaxQuant >= 1.6.0.16. Adapting to other search engines is possible but not provided out-of-the-box. Please see Integrating Other Search Engines for more details.
While the base library of modules are based around bottom-up proteomics by LC-MS/MS, this project is fundamentally compatible with any delimited text files (CSV, TSV, etc). These implementations will require some programming work, but once it is done DO-MS gives you a extensible framework that can be used over-and-over again to generate shareable reports. See Integrating Other Search Engines for more details
The manuscript for this tool is published at the Journal of Proteome Research: https://pubs.acs.org/doi/10.1021/acs.jproteome.9b00039
The manuscript is also freely available on bioRxiv: https://www.biorxiv.org/content/10.1101/512152v1.
Contact the authors by email: nslavov{at}northeastern.edu.
DO-MS is distributed by an MIT license.
Please feel free to contribute to this project by opening an issue or pull request.
For any bugs, questions, or feature requests, please use the GitHub issue system to contact the developers.