Abstract
Functional genomics aims to understand the relationship between genes and their functions within biological systems. The development of bioinformatics tools for functional genomics has become essential for analyzing large-scale genomic data, such as RNA sequencing (RNA-seq), chromatin immunoprecipitation sequencing (ChIP-seq), and gene expression data. These tools enable the identification of gene function, regulatory networks, and the molecular basis of diseases. This article discusses the key bioinformatics tools used in functional genomics, focusing on their applications, advancements, and challenges in the context of large-scale data analysis. We also explore the future directions in tool development for functional genomics and their potential impact on personalized medicine.
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