Pharmacogenetics, the study of how genetic variation influences an individual's response to drugs, holds immense promise for personalized medicine. However, analyzing pharmacogenetic data efficiently and accurately has posed challenges. In this article, we introduce a groundbreaking cloud-native tool designed to streamline pharmacogenetic analysis, revolutionizing drug development and patient care. Our tool incorporates cutting-edge algorithms for variant calling, genotype imputation, and pharmacogenetic association analysis. These algorithms are optimized for accuracy, speed, and scalability, allowing researchers to extract meaningful insights from genomic data.
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