Oliver Kohlbacher, Julianus Pfeuffer, Timo Sachsenberg (CIBI)
April 29–May 1
315 and 320 Shillman Hall
115 Forsyth Street, Boston, Massachusetts 02115, USA
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 (www.OpenMS.org). 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 are experimental scientists with experience in proteomic and/or metabolomic research. We also welcome computational scientists interested in working with raw mass spectrometric data.
The participants should bring their own laptop computers. Instructions regarding downloading and installing all required software (Windows, OSX, or Linux) will be provided prior to the course. Installer versions of all required software will be available.
LC-MS based proteomics and metabolomics, OpenMS, workflows, KNIME, data analysis
Registration via: https://computationalproteomics.ccis.northeastern.edu/