Genomics research is progressing at an unprecedented rate, propelled by advances in sequencing technologies and the generation of massive datasets. To effectively analyze this deluge of data, life sciences software plays a pivotal role in streamlining data processing workflows. These specialized tools offer a spectrum of functionalities, including

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The surge in genomics data generation presents both unprecedented opportunities and significant challenges. Conventional analysis methods often struggle to keep pace, leading to bottlenecks in downstream applications such as condition diagnosis, therapy discovery, and personalized medicine. To address this critical need, a novel framework is requir