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  Visualization of LC-MS/MS proteomics data in MaxQuant

Tyanova, S., Temu, T., Carlson, A., Sinitcyn, P., Mann, M., & Cox, J. (2015). Visualization of LC-MS/MS proteomics data in MaxQuant. PROTEOMICS, 15(8), 1453-1456. doi:10.1002/pmic.201400449.

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 Creators:
Tyanova, Stefka1, Author           
Temu, Tikira1, Author           
Carlson, Arthur1, Author           
Sinitcyn, Pavel1, Author           
Mann, Matthias2, Author           
Cox, Juergen1, Author           
Affiliations:
1Cox, Jürgen / Computational Systems Biochemistry, Max Planck Institute of Biochemistry, Max Planck Society, ou_2063284              
2Mann, Matthias / Proteomics and Signal Transduction, Max Planck Institute of Biochemistry, Max Planck Society, ou_1565159              

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Free keywords: QUANTIFICATION; RESOURCEBioinformatics; Mass spectrometry; LC-MS/MS; Visualization;
 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.

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Language(s): eng - English
 Dates: 2015
 Publication Status: Issued
 Pages: 4
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: ISI: 000352716000013
DOI: 10.1002/pmic.201400449
 Degree: -

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Title: PROTEOMICS
  Alternative Title : Special Issue: Proteomics Data Visualisation
Source Genre: Journal
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Publ. Info: 111 RIVER ST, HOBOKEN 07030-5774, NJ USA : WILEY-BLACKWELL
Pages: - Volume / Issue: 15 (8) Sequence Number: - Start / End Page: 1453 - 1456 Identifier: ISSN: 1615-9853