Abstract
Precision oncology aims to tailor cancer treatments to individual patients based on the genetic and molecular characteristics of their tumors. Bioinformatics plays a critical role in precision oncology by enabling the analysis and interpretation of complex genomic, transcriptomic, and proteomic data. This article explores the various bioinformatics applications in precision oncology, including genomic profiling, biomarker discovery, drug repurposing, and personalized treatment strategies. We also discuss the challenges, current limitations, and future directions for bioinformatics in advancing precision oncology research and clinical practice
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