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Improving global feature detectabilities through scan range splitting for untargeted metabolomics by high-performance liquid chromatography-Orbitrap mass spectrometry Christina Ranningera, Lukas E. Schmidta, Marc Rurikb,c, Alice Limoncield, Paul Jenningsd, Oliver Kohlbacherb,c,e,f,g, and Christian G. Hubera* a
Department of Molecular Biology, Division of Chemistry and Bioanalytics, University of
Salzburg, Salzburg, Austria,
[email protected],
[email protected],
[email protected] b
Center for Bioinformatics, University of Tübingen, Tübingen, Germany,
[email protected]
tuebingen.de,
[email protected] c
Department of Computer Science, University of Tübingen, Germany
d
Department of Physiology and Medical Physics, Division of Physiology, Medical University of
Innsbruck, Innsbruck, 6020, Austria,
[email protected],
[email protected] e
f
Quantitative Biology Center, University of Tübingen, Germany
Faculty of Medicine, University of Tübingen, Germany
g
Biomolecular Interactions, Max Planck Institute for Developmental Biology, Tübingen, Germany
*Address correspondence to: Prof. Dr. Christian Huber Department of Molecular Biology, Division of Chemistry and Bioanalytics, University of Salzburg Hellbrunnerstraße 34, 5020 Salzburg, Austria Tel.:+43 (0)662-8044-5704, Fax: +43 (0)662-8044-5751 e-mail:
[email protected] C. Ranninger et al.
Anal. Chim. Acta 930 (2016) 13-22
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