Bioinformatics applications in pharmacogenomics: towards personalized medicine

Pharmacogenomics investigates how genetic variation influences individual responses to drug therapy and aims to optimize treatment outcomes through personalized approaches. Bioinformatics plays a foundational role in this field, enabling the processing, annotation, and interpretation of complex genomic and multi-omics datasets. This review explores the current landscape of bioinformatics in pharmacogenomics, including key databases, variant analysis tools, and artificial intelligence-driven predictive models. It also discusses the integration of multi-omics data, real-world clinical applications, and the regulatory and ethical frameworks supporting clinical implementation. Finally, the role of pharmacogenomics in drug discovery and development is highlighted, illustrating how genetic insights contribute to target identification, trial design, and drug repurposing. Together, these components form the computational backbone of precision medicine and are essential for translating genomic knowledge into actionable, patient-centered care.