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Updated: May 15, 2025

Analyzing Tumor Gene Expression Factors with the CorExplorer Web Portal
Published on: October 11, 2019
Efficient and easy gene expression and genetic variation data analysis and visualization using exvar
Hiba Ben Aribi1, Imraan Dixon2, Najla Abassi3
1Faculty of Sciences of Tunis, University of Tunis El Manar, Tunis, Tunisia. benaribi.hiba@gmail.com.
Abstract:
RNA sequencing data manipulation workflows are complex and require various skills and tools. This creates the need for user-friendly and integrated genomic data analysis and visualization tools. We developed a novel R package using multiple Cran and Bioconductor packages to perform gene expression analysis and genetic variant calling from RNA sequencing data. Multiple public datasets were analyzed using the developed package to validate the pipeline for all the supported species. The developed R package, named "exvar", includes multiple data analysis functions and three data visualization shiny apps integrated as functions. Also, it could be used to analyze several species' data. The exvar package is available in the project's GitHub repository ( https://github.com/omicscodeathon/exvar ).
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