Proteomics is often simply associated with mass spectrometry only. But mass spectrometry is only a part of the highly complex method. The first step is an observation, for example: why does a biological system reacts on a stimulus as a drug or what changes a system from healthy to diseased state. Proteomics starts from asking the question to the biological system, planning the experiments, getting meaningful samples, applying the correct analysis and doing the data, bioinformatics, and statistical analysis to turn data into information. In the next step, taking the information obtained from the data, redefine the experiment and validate and verify the information. Furthermore, Proteomics does not stand alone, information from Genomic, Metabolomic, Lipidomic, to name only a few, have to be integrated for a meaningful explanation of the observation and to draw conclusions which will lead to treatments of diseases.

To establish Proteomics' methods in a lab, we provide consultation and training, from planning experiments, hands-on in the workflow to data, bioinformatics, and statistical analysis.