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FeatureFinder

The feature detection application (quantitation)

This module identifies "features" in a LC/MS map.

By feature, we understand a peptide in a MS sample that reveals a characteristic isotope distribution. The algorithm computes positions in rt and m/z dimension and a charge estimate of each peptide.

The algorithm identifies pronounced regions of raw data points around so-called seeds. In the next step, we iteratively fit a model of the isotope profile and the retention time to these data points. Data points with a low probability under this model are removed from the feature region. The intensity of the feature is then given by the sum of the data points included in its regions.

How to find suitable parameters is described in the TOPP tutorial.


Generated Tue Apr 1 15:36:39 2008 -- using doxygen 1.5.4 OpenMS / TOPP 1.1