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!!!