msVolcano: A flexible web application for visualizing quantitative proteomics data
Research output: Contribution to journal › Research article › Contributed › peer-review
Contributors
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. It can be accessed freely at http://projects.biotec.tu-dresden.de/msVolcano/.
Details
Original language | English |
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Pages (from-to) | 2491-2494 |
Number of pages | 4 |
Journal | Proteomics |
Volume | 16 |
Issue number | 18 |
Publication status | Published - 1 Sept 2016 |
Peer-reviewed | Yes |
External IDs
PubMed | 27440201 |
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ORCID | /0000-0002-4754-1707/work/142248100 |
Keywords
ASJC Scopus subject areas
Keywords
- Bioinformatics, Data visualization, Interaction proteomics, Label free quantification, Web Application