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msVolcano: a flexible web application for visualizing quantitative proteomics data

View ORCID ProfileSukhdeep Singh, View ORCID ProfileMarco Y. Hein, A. Francis Stewart
doi: https://doi.org/10.1101/038356
Sukhdeep Singh
1Genomics, Biotechnology Center, Technische Universitaet Dresden, Tatzberg 47, 01307 Dresden, Germany
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  • ORCID record for Sukhdeep Singh
Marco Y. Hein
2Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA 94143, USA
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A. Francis Stewart
1Genomics, Biotechnology Center, Technische Universitaet Dresden, Tatzberg 47, 01307 Dresden, Germany
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Abstract

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 and is hosted at server in-house. It can be accessed freely from anywhere at http://projects.biotec.tudresden.de/msVolcano/

Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC 4.0 International license.
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Posted April 01, 2016.
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msVolcano: a flexible web application for visualizing quantitative proteomics data
Sukhdeep Singh, Marco Y. Hein, A. Francis Stewart
bioRxiv 038356; doi: https://doi.org/10.1101/038356
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msVolcano: a flexible web application for visualizing quantitative proteomics data
Sukhdeep Singh, Marco Y. Hein, A. Francis Stewart
bioRxiv 038356; doi: https://doi.org/10.1101/038356

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