OpenMS tutorial

First, we give a small introduction to this tutorial and OpenMS:

• General information
• Structure of OpenMS
• Mass spectrometry terms

Then you should read about the basic classes and concepts of OpenMS:

• OpenMS concepts
• Auxiliary datastructures
• The kernel classes
• How meta data is stored
• Chemistry
• File and DB access

The more advanced tutorials cover the algorithms provided by OpenMS:

• Signal processing (Smoothing, baseline reduction, calibration)
• Data reduction (peak picking, feature detection)
• Map alignment
• Feature grouping

Other advanced tutorials:

• Visualization
• Clustering
• Peak Intensity Prediction
• HowTo