Educators:
Samuel Wein, Tom Müller
Date:
Feb 17-18 2025
Location:
Johannesburg University (Rossmore, Johannesburg, 2092, South Africa)
Contents:
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.
Learning goals:
Gain an understanding of the steps and algorithms involved in computational mass spectrometry. Be able to use the tools provided in OpenMS to create and run proteomics and metabolomics workflows in KNIME
Prerequisites:
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.
Keywords:
LC-MS based proteomics and metabolomics, OpenMS, workflows, KNIME, data analysis
Tools:
OpenMS, KNIME, Streamlit
Contact:
Scientific and program questions: