Date: October 31, 2017
Veit Schwämmle, Department of Biochemistry and Molecular Biology, University of Southern Denmark, Denmark
Julian Uszkoreit, Medizinisches Proteom-Center, Ruhr-University Bochum, Germany
The number of attendees is limited to 30 persons.
We suggest that attendees bring their own laptops. Besides a web browser (Firefox, Safari or Chrome) and a running internet connection, nothing is required.
The topics of the workshop are reusable workflows for reproducible analyses of LC-MS proteomics date and the statistical analysis of quantitative LC-MS data.
Reusable workflows for reproducible analyses: We will highlight the importance of not only describing each detail of the wet lab analyses, but also the subsequent data analysis. This can be facilitated by using workflow environments like KNIME and the deposition of the workflows, together with the data, into repositories like PRIDE. In the interest of the time, the hands-on experience will be limited, but we will provide the data and tutorial material online.
Advanced statistical and multi-variate data analysis: We will give an introduction into the basic concepts of the statistical assessment of proteomics data starting with the quantitative protein/peptide measurements. Furthermore, we will show how to apply statistical testing and carry out clustering of protein expression profiles. The novel tool VSClust will be presented which combines statistics and clustering to yield better enrichment of significant features, improved cluster validation and higher output from subsequent data interpretation.
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