Visualization of LC‐MS/MS proteomics data in MaxQuant

Stefka Tyanova, Tikira Temu, Arthur Carlson, Pavel Sinitcyn, Matthias Mann, Juergen Cox*

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

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.
Original languageEnglish
Pages (from-to)1453-1456
JournalProteomics
Volume15
Issue number8
DOIs
Publication statusPublished - Apr 2015
Externally publishedYes

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