Abstract
Cancer genomics is a rapidly evolving field that aims to understand the genetic alterations driving cancer development and progression. Bioinformatics plays a critical role in cancer genomics by enabling the analysis of large-scale genomic data, such as next-generation sequencing (NGS) data, to identify mutations, structural variations, and other genetic events involved in cancer. This article explores the role of bioinformatics in cancer genomics, focusing on key computational tools, data integration techniques, and approaches used to interpret cancer genomic data. It also discusses the potential of bioinformatics in personalized cancer therapy, drug discovery, and the challenges in the field, as well as future directions for the integration of bioinformatics in cancer research
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