title: Visualization of LC-MS/MS proteomics data in MaxQuant.
abstract: Modern software platforms enable the analysis of shotgun proteomics data in an automated fashion resulting in high quality identification and quantification results. Additional understanding of the underlying data can be gained with the help of advanced visualization tools that allow for easy navigation through large LC-MS/MS datasets potentially consisting of terabytes of raw data. The updated MaxQuant version has a map navigation component that steers the users through mass and retention time-dependent mass spectrometric signals. It can be used to monitor a peptide feature used in label-free quantification over many LC-MS runs and visualize it with advanced 3D graphic models. An expert annotation system aids the interpretation of the MS/MS spectra used for the identification of these peptide features.
authors: Max-Planck-Institute of Biochemistry, Computational Systems Biochemistry, Martinsried, Germany.
authors: Stefka
authors: S
authors: Tyanova
authors: Tikira
authors: T
authors: Temu
authors: Arthur
authors: A
authors: Carlson
authors: Pavel
authors: P
authors: Sinitcyn
authors: Matthias
authors: M
authors: Mann
authors: Juergen
authors: J
authors: Cox
mesh_terms: D000595:Amino Acid Sequence; D002853:Chromatography, Liquid; D003196:Computer Graphics; D040901:Proteomics / Q000379:methods*; D012984:Software; D053719:Tandem Mass Spectrometry
keywords: Bioinformatics; LC-MS/MS; Mass spectrometry; Visualization
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