Educators:
Julianus Pfeuffer, CIBi, FU Berlin
Timo Sachsenberg, CIBi, EKU Tübingen
Date:
9-12 January 2018
Location:
Ghent, Belgium
Contents:
OpenMS is a C++ library and framework for computational mass spectrometry. At times, the large code-base (and C++) might overwhelm novel developers. This project is intended to give a gentle introduction on how to find your way through the OpenMS codebase, how to implement your own tools and algorithms, or how to integrate novel third-party tools to interact in complex workflows. We also show how Python (pyOpenMS) bindings are provided for novel algorithms.
Learning goals:
Creating an OpenMS tool that can be fully integrated into a workflow system. Basic understanding of OpenMS concepts and functionality.
Prerequisites:
The course is targeted to bioinformaticians with a programming background. Ideally, participants have basic experience with C++.
Keywords:
workflows, proteomics, metabolomics, mass spectrometry, KNIME, OpenMS
Tools:
OpenMS, KNIME
Registration:
http://uahost.uantwerpen.be/eubic18/
Contact:
Timo Sachsenberg