msVolcano: A flexible web application for visualizing quantitative proteomics data

We introduce msVolcano, a web application for the visualization of label‐free mass spectrometric data. It is optimized for the output of the MaxQuant data analysis pipeline of interactomics experiments and generates volcano plots with lists of interacting proteins. The user can optimize the cutoff v...

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Detalles Bibliográficos
Autores principales: Singh, Sukhdeep, Hein, Marco Y., Stewart, A. Francis
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2016
Materias:
Technical Brief
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5096246/
https://www.ncbi.nlm.nih.gov/pubmed/27440201
http://dx.doi.org/10.1002/pmic.201600167
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author Singh, Sukhdeep
Hein, Marco Y.
Stewart, A. Francis
author_facet Singh, Sukhdeep
Hein, Marco Y.
Stewart, A. Francis
author_sort Singh, Sukhdeep
collection PubMed
description We introduce msVolcano, a web application for the visualization of label‐free mass spectrometric data. It is optimized for the output of the MaxQuant data analysis pipeline of interactomics experiments and generates volcano plots with lists of interacting proteins. The user can optimize the cutoff values to find meaningful significant interactors for the tagged protein of interest. Optionally, stoichiometries of interacting proteins can be calculated. Several customization options are provided to the user for flexibility, and publication‐quality outputs can also be downloaded (tabular and graphical). Availability: msVolcano is implemented in R Statistical language using Shiny. It can be accessed freely at http://projects.biotec.tu-dresden.de/msVolcano/
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spelling pubmed-50962462016-11-09 msVolcano: A flexible web application for visualizing quantitative proteomics data Singh, Sukhdeep Hein, Marco Y. Stewart, A. Francis Proteomics Technical Brief We introduce msVolcano, a web application for the visualization of label‐free mass spectrometric data. It is optimized for the output of the MaxQuant data analysis pipeline of interactomics experiments and generates volcano plots with lists of interacting proteins. The user can optimize the cutoff values to find meaningful significant interactors for the tagged protein of interest. Optionally, stoichiometries of interacting proteins can be calculated. Several customization options are provided to the user for flexibility, and publication‐quality outputs can also be downloaded (tabular and graphical). Availability: msVolcano is implemented in R Statistical language using Shiny. It can be accessed freely at http://projects.biotec.tu-dresden.de/msVolcano/ John Wiley and Sons Inc. 2016-09-19 2016-09 /pmc/articles/PMC5096246/ /pubmed/27440201 http://dx.doi.org/10.1002/pmic.201600167 Text en © 2016 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/) 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 Brief
Singh, Sukhdeep
Hein, Marco Y.
Stewart, A. Francis
msVolcano: A flexible web application for visualizing quantitative proteomics data
title msVolcano: A flexible web application for visualizing quantitative proteomics data
title_full msVolcano: A flexible web application for visualizing quantitative proteomics data
title_fullStr msVolcano: A flexible web application for visualizing quantitative proteomics data
title_full_unstemmed msVolcano: A flexible web application for visualizing quantitative proteomics data
title_short msVolcano: A flexible web application for visualizing quantitative proteomics data
title_sort msvolcano: a flexible web application for visualizing quantitative proteomics data
topic Technical Brief
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5096246/
https://www.ncbi.nlm.nih.gov/pubmed/27440201
http://dx.doi.org/10.1002/pmic.201600167
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AT heinmarcoy msvolcanoaflexiblewebapplicationforvisualizingquantitativeproteomicsdata
AT stewartafrancis msvolcanoaflexiblewebapplicationforvisualizingquantitativeproteomicsdata

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