Highly sensitive feature detection for high resolution LC/MS

Background: Liquid chromatography coupled to mass spectrometry (LC/MS) is an important analytical technology for e.g. metabolomics experiments. Determining the boundaries, centres and intensities of the two-dimensional signals in the LC/MS raw data is called feature detection. For the subsequent analysis of complex samples such as plant extracts, which may contain hundreds of compounds, corresponding to thousands of features

• Type: Journal
• Year: 2008
• Where: BMCBI
• Authors: Ralf Tautenhahn, Christoph Böttcher, Steffen Neumann
• Keywords: BMCBI 2008, Detection Algorithm CentWave, Feature Detection, Feature Detection Algorithm