MARATTO

article · Scientific Reports

Efficient and easy gene expression and genetic variation data analysis and visualization using exvar

20255 citationsOpen accessUniversity of Tunis El Manar

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 ).

Research topics

  • Genomics and Phylogenetic Studies
  • Gene expression and cancer classification
  • Molecular Biology Techniques and Applications

Read the original research

This page summarises published work. The authoritative version sits with the publisher.

DOI: 10.1038/s41598-025-93067-5

Is something wrong with this record? Report it or request removal.

Discussion

Discuss this research

Have you built on this work, tried to replicate it, or seen it applied in practice? Share what you know. Verified researchers and MARATTO™ domain experts can open a discussion, and any member can reply. Contributions are reviewed before they appear.

No discussion yet. Open the first thread.