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 spectrum of functionalities, including s

Genomics research is rapidly evolving, generating massive datasets that demand efficient processing and analysis. To keep pace with this explosion in data, scalable software solutions are essential. These tools enable researchers to analyze complex genomic information at scale, uncovering valuable insights into genetic diversity. By leveraging clo

The boom in genomics data generation presents both unprecedented opportunities and significant challenges. Established 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 critical need, a novel framework is required t