This workshop brings together developers (and aspiring developers) of R- and Python-based tools for mass spectrometry and proteomics. The program will include presentations by leading developers of tools, who will provide insight into the software design that ensures reproducible and reusable research, and presentations by the participants.

We invite everyone to submit abstracts describing tools for mass spectrometry and proteomics developed in the R or Python ecosystems. The abstracts should focus less on the specific functionality, and more on the design of the tool, and its strategy for enabling reproducible research, sustainability, and inter-operability with other computational tools.

A subset of the abstracts will be selected for oral or poster presentations. Accepted presenters will receive a free admission to this part of the program.

Target audience

    Anyone interested in developing R- or Python-based tools for mass spectrometry and proteomics.


    Kylie Bemis, Laurent Gatto