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Visualization of LC‐MS/MS proteomics data in MaxQuant

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 naviga...

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Detalles Bibliográficos
Autores principales: Tyanova, Stefka, Temu, Tikira, Carlson, Arthur, Sinitcyn, Pavel, Mann, Matthias, Cox, Juergen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5024039/
https://www.ncbi.nlm.nih.gov/pubmed/25644178
http://dx.doi.org/10.1002/pmic.201400449
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author Tyanova, Stefka
Temu, Tikira
Carlson, Arthur
Sinitcyn, Pavel
Mann, Matthias
Cox, Juergen
author_facet Tyanova, Stefka
Temu, Tikira
Carlson, Arthur
Sinitcyn, Pavel
Mann, Matthias
Cox, Juergen
author_sort Tyanova, Stefka
collection PubMed
description 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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spelling pubmed-50240392016-09-23 Visualization of LC‐MS/MS proteomics data in MaxQuant Tyanova, Stefka Temu, Tikira Carlson, Arthur Sinitcyn, Pavel Mann, Matthias Cox, Juergen Proteomics Technical Briefs 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. John Wiley and Sons Inc. 2015-04 2015-03-05 /pmc/articles/PMC5024039/ /pubmed/25644178 http://dx.doi.org/10.1002/pmic.201400449 Text en © 2015 The Authors. Proteomics Published by Wiley‐VCH Verlag GmbH & Co. KGaA, Weinheim. This is an open access article under the terms of the Creative Commons Attribution‐NonCommercial‐NoDerivs (http://creativecommons.org/licenses/by-nc-nd/4.0/) License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made.
spellingShingle Technical Briefs
Tyanova, Stefka
Temu, Tikira
Carlson, Arthur
Sinitcyn, Pavel
Mann, Matthias
Cox, Juergen
Visualization of LC‐MS/MS proteomics data in MaxQuant
title Visualization of LC‐MS/MS proteomics data in MaxQuant
title_full Visualization of LC‐MS/MS proteomics data in MaxQuant
title_fullStr Visualization of LC‐MS/MS proteomics data in MaxQuant
title_full_unstemmed Visualization of LC‐MS/MS proteomics data in MaxQuant
title_short Visualization of LC‐MS/MS proteomics data in MaxQuant
title_sort visualization of lc‐ms/ms proteomics data in maxquant
topic Technical Briefs
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5024039/
https://www.ncbi.nlm.nih.gov/pubmed/25644178
http://dx.doi.org/10.1002/pmic.201400449
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