Dynamic omics Ratio-Intensity Plotting

版本 1.1.1 (13.9 MB) 作者: Jessica Slaughter
Identify differentially up/downregulated genes from dynamic omics data with a ratio vs intensity analysis.
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更新时间 2025/2/23

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Dynamic omics Ratio-Intensity Plotting (DRIP) is a bioinformatics tool to identify differentially up/downregulated genes from the users' dynamic omics data. This application provides the traditional transcriptomic M/A analysis technique for a broad range of dynamic omics data while remaining computationally inexpensive. Use these tools to facilitate your omics research and derive meaningful, data-driven hypotheses from your dynamic datasets.
  • GUI based application for identifying differential signals in your dynamic omics data with ratio vs. intensity analysis.
  • Inputs and outputs are compatible with the averaging app, clustering app, dynamic volcano app, and DPoP.
  • Includes example transcriptomic data and example phosphoproteomic data.
  • Control minimum fold change, statistical significance, normalization method, and choice of regression technique.
  • Includes summary of differentials signals throughout the tradjectory.

引用格式

Jessica Slaughter (2025). Dynamic omics Ratio-Intensity Plotting (https://ww2.mathworks.cn/matlabcentral/fileexchange/180174-dynamic-omics-ratio-intensity-plotting), MATLAB Central File Exchange. 检索时间: .

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.

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版本 已发布 发行说明
1.1.1

Added example data files
1.1.0