Abstract
We propose a user-friendly ChIP-seq and RNA-seq software suite for the interactive visualization and analysis of gene expression heatmaps, including integrated features to support: principal component analysis, differential expression analysis, gene ontology analysis, and dynamic network visualization of genes directly from a heatmap.
MicroScope is hosted online as an R Shiny web application based on the D3 JavaScript library: http://microscopebioinformatics.org/. The methods are implemented in R, and are available as part of the MicroScope project at: https://github.com/Bohdan-Khomtchouk/Microscope.
Abbreviations used
- FDR
- false discovery rate
- GO
- gene ontology
- UI
- user interface
- PCA
- principal component analysis
- DE
- differential expression
Copyright
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