Computational mass spectrometry and metabolomics at the metabolomics conference 2016 in Dublin

Dear CompMS community,

one of the big events this year will be the annual conference of the international Metabolomics society in Dublin (27.-30.6.2016, see http://metabolomics2016.org/), where around 1000 people can be expected to attend. Last year we coordinated several proposals for workshops and sessions, and we are delighted that ALL THREE proposed sessions got accepted! Among the other scientific topics like the session on “Advances in Statistical Tools”, we expect to have these sessions related to #CompMS and computational metabolomics:

• New Approaches for Identification of Metabolites applying MS and NMR (Session team: Witting/Dunn)
• Network and Pathway Analysis for Metabolomics (Session team: Willighagen/Jourdan)
• Computational Mass Spectrometry (Session team: Neumann/Böcker)

There will also be these workshops :

• Computational Workflows and Workflow Engines (Workshop lead: Christoph Steinbeck)
• Workshop On Data Sharing and Standardisation (Workshop team: Reza Salek et al.)
• metaRbolomics: The R toolbox for Metabolomics (Workshop team: Stanstrup/Neumann)

Of course, the official call for participation and papers by the conference organisers will follow in the next weeks, but you could already think about your contribution to make the workshops and sessions a whopping success!


See you at #metabolomics2016,
Yours,
the session and workshop organisers !

Workshop on Tools for Metabolomics Data Processing, Data Analysis and Pathway Analysis at metabolomics2012.org

The workshop will be held on June 25, the first day of the Metabolomics 2012 conference in Washington, D.C., and provides an opportunity to introduce and to present software and development frameworks for all steps in metabolomic data analysis. The workshop includes the option of live software demonstrations to academic and commercial participants.

The topics include, but are not limited to, data pre-processing of NMR and MS data, spectral alignment of multiple measurements, both library-based and de-novo metabolite identification, data normalization and statistical analysis, pathway mapping, pathway reconstruction and last but not least data integration between multiple studies or between data of multi-omics experiments.

Please submit your abstract through the “Abstract Submission” at www.metabolomics2012.org. Don’t forget to mention whether your presentation will include a live demonstration.