title: Detection of artifacts and peptide modifications in liquid chromatography/mass spectrometry data using two-dimensional signal intensity map data visualization.
abstract: We demonstrate how visualization of liquid chromatography/mass spectrometry data as a two-dimensional signal intensity map can be used to assess the overall quality of the data, for the identification of polymer contaminants and artifacts, as well as for the confirmation of post-translational modifications.
authors.affiliation: GE Healthcare, Oskar Schlemmer Str. 11, D-80807 München, Germany. matthias.berg@ge.com
authors.forename: Matthias
authors.initials: M
authors.lastname: Berg
authors.forename: Axel
authors.initials: A
authors.lastname: Parbel
authors.forename: Harald
authors.initials: H
authors.lastname: Pettersen
authors.forename: David
authors.initials: D
authors.lastname: Fenyö
authors.forename: Lennart
authors.initials: L
authors.lastname: Björkesten
mesh_terms: D000465:Algorithms; D000595:Amino Acid Sequence; D016477:Artifacts; D002853:Chromatography, Liquid; D013058:Mass Spectrometry; D008969:Molecular Sequence Data; D010455:Peptides / Q000737:chemistry*; D011499:Protein Processing, Post-Translational
chemical_list: D010455:Peptides