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 essential role in streamlining data processing workflows. These specialized tools offer a variety of functionalities, including s

Genomics research is progressing at an unprecedented rate, generating massive datasets that demand efficient processing and analysis. To keep pace with this explosion in data, scalable software solutions are crucial. These tools enable researchers to interpret complex genomic information at scale, uncovering valuable insights into disease mechanis

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 disease diagnosis, therapy discovery, and personalized medicine. To address this urgent need, a novel framework is required to