The exponential growth of genomic data presents significant challenges for researchers and clinicians. Efficient processing and exploration of this vast data landscape are essential for enhancing our understanding of human health, disease, and biotechnology. Life sciences software plays a crucial role in streamlining genomics data processing by pro