May Institute: Computation and statistics for mass spectrometry and proteomics

May 1-12, 2017, Northeastern University, Boston MA
Organizers : Meena Choi and Olga Vitek



The course introduces key concepts of non-targeted label-free proteomics and metabolomics. Non-targeted methods are ideal for unbiased discovery studies and scale well for large-scale studies (e.g., clinical proteomics/metabolomics). Based on example datasets we will then introduce several open-source software tools for proteomics and metabolomics, primarily focusing on OpenMS ( We will demonstrate how these tools can be combined into complex data analysis workflows including visualization of results. Participants will have the opportunity to bring their own data and design custom analysis workflows together with instructors.

Target audience

    Target audience are experimental scientists with experience in proteomic and/or metabolomic research. We also welcome computational scientists interested in working with raw mass spectrometric data.


  • Keynote: Oliver Kohlbacher
  • Instructors: Oliver Kohlbacher, Timo Sachsenberg, Julianus Pfeuffer