metaRbolomics hackathon to improve interoperability of metabolomics-related R packages

The 3rd metaRbolomics hackathon took place as a in-person workshop in Wittenberg (Germany) in November 2021. The aim was to improve interoperability of metabolomics/mass spectrometry-related R packages, combine development efforts and identify gaps and needs in current available functionality. It was a fun event with a lot of discussions and coding as well as socializing and networking.

Metabolomics
Mass Spectrometry
Hackathon
Open Science
Author
Affiliation

Eurac Research

Published

January 18, 2022

The 3rd metaRbolomics hackathon was organized by Steffen Neumann to bring developers and users of mass spectrometry and metabolomics-related R packages together to improve interoperability between packages, identify gaps and needs in current functionality and to foster collaboration between developers. The event took place from the 22-24 of November, with funding from the de.NBI ELIXIR-DE in Wittenberg (Germany) as an in-person event. As a safety measure, participants had the opportunity for on-site fast COVID-19 self-tests and all participants wore masks during the whole event.

Participants were also allowed to give flash talks presenting either R packages or approaches and concepts such as Maria Llambrich presenting the amanida R package for meta-analysis of metabolomics studies or Helge Hecht giving an overview of machine learning approaches for annotation of small compounds in mass spectrometry data.

After the actual hacking session participants socialized for example on the Christmas Market in Wittenberg.

Among projects and collaborations that were started at the hackathon were a new MsBackend for the Spectra Bioconductor package allowing handling of TimsTOF data (MsBackendTimsTOF), updates and fixes for the MsQuality package as well as further development and expansion of the xcmsViewer.

Summarizing, the hackathon was a very nice event fostering open science and open development in the metabolomics community.

© 2024 Bioconductor. Content is published under Creative Commons CC-BY-4.0 License for the text and BSD 3-Clause License for any code. | R-Bloggers