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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...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2015
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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. |
format | Online Article Text |
id | pubmed-5024039 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
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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