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<p>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 (<a href="https://github.com/omicscodeathon/exvar">https://github.com/omicscodeathon/exvar</a>).</p>

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

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2025年4月10日

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  • Hiba Ben Aribi,
  • Imraan Dixon,
  • Najla Abassi,
  • Olaitan I. Awe

摘要

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).