Dynamic Volcano Plotting App

Version 1.1.1 (15.7 MB) by Jessica Slaughter
Identify differential signals in your dynamic omics data with significance vs fold change volcano analysis
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Updated 30 Sep 2024

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  • GUI based application for identifying differential signals in your dynamic omics data with significance vs fold change volcano analysis.
  • Inputs and outputs are compatible with the averaging app, clustering app, and DPoP.
  • Packaged as an installable Matlab App (.mlappinstall), or as a developable app file (.mlapp).
  • Data from another omics type is not a problem. Includes example transcriptomic data and example phosphoproteomic data.
  • Control minimum fold change and statistical significance.
  • Includes a preview clustergram of the organization of the data in the output.
  • Includes summary of differentials signals throughout the tradjectory.

Cite As

Jessica Slaughter (2025). Dynamic Volcano Plotting App (https://www.mathworks.com/matlabcentral/fileexchange/161011-dynamic-volcano-plotting-app), MATLAB Central File Exchange. Retrieved .

This work is part of a collaboration with the following people and institutions: Harley Edwards, Joseph Zavorskas, Walker Huso, Alexander G. Doan, Steven Harris, Ranjan Srivastava, Mark R. Marten, UMBC, UConn, IowaState.

This material is based upon work supported by the National Science Foundation under Grant No. 2006189. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the National Science Foundation.

MATLAB Release Compatibility
Created with R2023a
Compatible with any release
Platform Compatibility
Windows macOS Linux
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Version Published Release Notes
1.1.1

Updated Excel Export
1.1

Excel export now includes additional sheet of transformed data. Each row corresponding to a tag and each column corresponding to timepoints. This makes it easier to input into the other apps in our suite of bioinformatic tools.
1.0.0