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 optimizing data processing workflows. These specialized tools offer a variety of functionalities, including seque

Genomics research is experiencing explosive growth, generating massive datasets that demand efficient processing and analysis. To keep pace with this boom in data, scalable software solutions are essential. These tools enable researchers to analyze complex genomic data at scale, uncovering valuable insights into human health. By leveraging cloud c

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 illness diagnosis, drug discovery, and personalized medicine. To address this pressing need, a novel framework is required to