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 optimizing data processing workflows. These specialized tools offer a range of functionalities, including sequ

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The boom 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, therapy discovery, and personalized medicine. To address this pressing need, a novel framework is required t