Genomics research is progressing at an unprecedented rate, driven 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 se

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