title: msVolcano: A flexible web application for visualizing quantitative proteomics data.
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).
  
  
  
  msVolcano is implemented in R Statistical language using Shiny. It can be accessed freely at http://projects.biotec.tu-dresden.de/msVolcano/.
authors.affiliation: Genomics, Biotechnology Center, Technische Universität Dresden, Dresden, Germany. sukhdeepsingh.bio@gmail.com.
authors.forename: Sukhdeep
authors.initials: S
authors.lastname: Singh
authors.affiliation: Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA.
authors.forename: Marco Y
authors.initials: MY
authors.lastname: Hein
authors.affiliation: Genomics, Biotechnology Center, Technische Universität Dresden, Dresden, Germany.
authors.forename: A Francis
authors.initials: AF
authors.lastname: Stewart
mesh_terms: D020407:Internet; D013058:Mass Spectrometry / Q000379:methods; D060066:Protein Interaction Maps; D040901:Proteomics / Q000379:methods*; D012984:Software
keywords: Bioinformatics; Data visualization; Interaction proteomics; Label free quantification; Web Application