Computational Mass Spectrometry Task Group

The Computational Mass Spectrometry task group represents the Metabolomics interests in the initiative, which promotes the efficient, high quality analysis of mass spectrometry data with state-of-the art computational tools and algorithms through dissemination and training in existing, and coordination of new, innovative approaches. The CompMS initiative aims to exploit synergies between different application domains, in particular proteomics and metabolomics. The scientific remit of the group will include all aspects of computational method development from signal processing, feature alignment and grouping, to development of metabolite identification algorithms and metabolic network reconstruction. For discussions and announcements, please join

Steffen Neumann
Leibniz Institute of Plant Biochemistry, Halle (Germany)
Friedrich-Schiller University, Jena (Germany)






Members from the CompMS community participating in the Task Group are: Corey Broeckling, David Grant, Emma Schymanski, Etienne Thevenot, Federico Taverna, Jermaine Goveia, Johannes Rainer, Kris Morreel, Lee Ferguson, Michael Witting, Ming Wang, Nicola Zamboni, Pieter Dorrestein, Rainer Breitling, Shawez Khan, Simon Rogers, Tomas Pluskal.