I am analyzing RNA-Seq data, specifically focusing on the identification of variants within differentially regulated genes across treated and untreated samples. My primary analysis platform for this endeavor is Galaxy.

I am seeking insights and recommendations on two fronts:

  • Optimizing Variant Analysis in Galaxy: While Galaxy has been my primary tool, I am open to suggestions on the best practices, tools, or specific Galaxy workflows optimized for identifying variants within differentially regulated genes from RNA-Seq data. Any recommendations on Galaxy-based pipelines or methods tailored for this purpose would be highly appreciated.
  • Exploring Alternative Methods: Additionally, I am interested in exploring complementary or alternative methods outside of Galaxy for variant analysis. Are there other platforms, software, or methodologies known for their efficiency in analyzing variants within RNA-Seq data? I'm open to learning about new approaches that could enhance the depth and accuracy of my analysis.
  • Your expertise, experiences, or any insights you can provide in navigating variant analysis would be immensely valuable to my research efforts.

    Thank you!!!

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