• search hit 4 of 9
Back to Result List

Proceedings of the EuBIC-MS 2020 Developers’ Meeting

  • 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.

Export metadata

Additional Services

Search Google Scholar Statistics
Metadaten
Author details:Wout Bittremieux Christopher Ashwood, Wout Bittremieux, Eric W. Deutsch, Nadezhda T. Doncheva, Viktoria Dorfer, Ralf Gabriels, Vladimir Gorshkov, Surya Gupta, Andrew R. Jones, Lukas Käll, Dominik Kopczynski, Lydie Lane, Ludwig Lautenbacher, Marc Legeay, Marie Locard-Paulet, Bart Mesuere, Timo Sachsenberg, Renee Salz, Patroklos Samaras, Henning SchiebenhoeferORCiD, Tobias Schmidt, Veit Schwämmle, Alessio Soggiu, Julian Uszkoreit, Tim Van Den Bossche, Bart Van Puyvelde, Joeri Van Strien, Pieter Verschaffelt, Henry Webel, Sander Willems, Yasset Perez-Riverolab, Eugen Netz, Julianus Pfeuffer
DOI:https://doi.org/10.1016/j.euprot.2020.11.001
ISSN:2212-9685
Title of parent work (English):EuPA Open Proteomics
Publisher:Elsevier
Place of publishing:Amsterdam
Publication type:Article
Language:English
Date of first publication:2020/12/17
Publication year:2020
Release date:2022/10/28
Tag:XIC extraction; bioinformatics; computational mass spectrometry; phosphoproteomics; predicted spectra; proteomics; proteomics graph networks; spectrum clustering
Volume:24
First page:1
Last Page:6
Organizational units:Digital Engineering Fakultät / Hasso-Plattner-Institut für Digital Engineering GmbH
DDC classification:0 Informatik, Informationswissenschaft, allgemeine Werke / 00 Informatik, Wissen, Systeme / 000 Informatik, Informationswissenschaft, allgemeine Werke
Peer review:Referiert
Publishing method:Open Access / Gold Open-Access
Accept ✔
This website uses technically necessary session cookies. By continuing to use the website, you agree to this. You can find our privacy policy here.