Proceedings of the EuBIC-MS 2020 Developers’ Meeting

Research output: Contribution to journalEditorialResearch

  • Christopher Ashwood
  • Wout Bittremieux
  • Eric W. Deutsch
  • Viktoria Dorfer
  • Ralf Gabriels
  • Vladimir Gorshkov
  • Surya Gupta
  • Andrew R. Jones
  • Lukas Käll
  • Dominik Kopczynski
  • Lydie Lane
  • Ludwig Lautenbacher
  • Marc Legeay
  • Bart Mesuere
  • Yasset Perez-Riverol
  • Eugen Netz
  • Julianus Pfeuffer
  • Timo Sachsenberg
  • Renee Salz
  • Patroklos Samaras
  • Henning Schiebenhoefer
  • Tobias Schmidt
  • Veit Schwämmle
  • Alessio Soggiu
  • Julian Uszkoreit
  • Tim Van Den Bossche
  • Bart Van Puyvelde
  • Joeri Van Strien
  • Pieter Verschaffelt
  • Sander Willems

The 2020 European Bioinformatics Community for Mass Spectrometry (EuBIC-MS) Developers’ meeting was held from January 13th to January 17th 2020 in Nyborg, Denmark. Among the participants were scientists as well as developers working in the field of computational mass spectrometry (MS) and proteomics. The 4-day program was split between introductory keynote lectures and parallel hackathon sessions. During the latter, the participants developed bioinformatics tools and resources addressing outstanding needs in the community. The hackathons allowed less experienced participants to learn from more advanced computational MS experts, and to actively contribute to highly relevant research projects. We successfully produced several new tools that will be useful to the proteomics community by improving data analysis as well as facilitating future research. All keynote recordings are available on https://doi.org/10.5281/zenodo.3890181.

Original languageEnglish
JournalEuPA Open Proteomics
Volume24
Pages (from-to)1-6
Number of pages6
ISSN2212-9685
DOIs
Publication statusPublished - 2020

    Research areas

  • Benchmark development, Bioinformatics, Computational mass spectrometry, Functional annotations, Mass spectrometry, Metaproteomics, Phosphoproteomics, Predicted spectra, Proteomics, Proteomics graph networks, Spectrum clustering, XIC extraction

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