Educators:
Michael Berthold, Greg Landrum, Patrick Winter, Alexander Fillbrunn, Martin Horn, Timo Sachsenberg (CIBI)
Date:
July 26th – 28th
Location:
University of Konstanz
Contents:
This hands-on course will introduce classic and modern techniques for the analysis of various types of data: molecular databases, images, sequences, and mass spectrometry data. Analysis techniques range from standard logistic regression and random forests to deep natural networks. Participants will learn how to process and integrate their data using the open source platform KNIME and gain experience with extensions such as RDKit (cheminformatics), SeqAn (NGS), FIJI (images), and OpenMS (mass spec).
Greg Landrum, the main author of RDKit, will cover the cheminformatics and machine learning part of the course. Further teachers are members of the SeqAn, FIJI, and OpenMS group.
Learning goals:
Using KNIME for Life Science data.
Prerequisites:
None.
Keywords:
KNIME, OpenMS, SeqAn, Workflows, Mass Spectrometry, Sequence Data, ChemInformatics
Tools:
KNIME, OpenMS, SeqAn, RDKit, Fiji
Contact:
Alexander Fillbrunn
University of Konstanz