• Lutherstadt Wittenberg


Oliver Kohlbacher (CIBI), Steffen Neumann (CIBI/MASH), Christoph Steinbeck (CAU), tba


Leucorea, Lutherstadt Wittenberg

    - Solving problems in computational metabolomics, including
        - Introduction to standard data processing tools
        - statistical data analysis
        - metabolic network analysis
    - Common tools in Metabolomics
        - XCMS, OpenMS
    - Managing workflows in metabolomics
        - Standard workflows
        - Tools to handle workflows (Galaxy, KNIME)
    - Data sharing and deposition
        - Reproducibility and sharing of analyses and results
        - FAIR data
        - Deposition in MetaboLights
    - Using computational clouds for data analysis
        - What is Cloud computing
        - Using clouds to tackle big data

Learning goals:
Comprehensive overview of Metabolomics data processing pipeline from data to publication.

The School is targeted at graduate students and early-stage researchers in metabolomics and bioinformatics. Participants should have some metabolomics experience and an interest in computational data analysis. Some scripting experience will be helpful, but not strictly required. Participants should bring their own laptop.

Metabolomics, Metabolite Identification, mass spectrometry, data processing, metabolite annotation

OpenMS, MetFrag, MassBank, MetaboLights

Application and Deadlines:
In total, 20 participants (advanced PhD students / post-docs from
computer science / bioinformatics / life sciences coming from Germany,
Europe, World-Wide) will be selected based on short applications.

Please register at https://goo.gl/forms/PZmf3aMhBApULSN02
and provide your
- contact information
- educational and work history
- current research projects and research interests
- accommodation and dietary requirements.

Accommodation will be supplied by the de.NBI consortium. Travel
expenses have to be paid by the participants. There will be no
participation fee.

Application deadline: 15th January 2018

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