Genomic Data Analysis Unlocking the Secrets of the Genome

Julie Baker^*

Department of Molecular and Human Genetics, Baylor College of Medicine, USA

*Corresponding Author

Julie Baker, Department of Molecular and Human Genetics, Baylor College of Medicine, USA, E-mail: Julie_baker@gmail.com

Abstract

Genomic data analysis is a central discipline in modern biology, aimed at interpreting the vast and complex data produced by genome sequencing technologies. With the rise of next-generation sequencing (NGS), researchers can now investigate entire genomes rapidly and affordably, generating data critical to understanding gene function, variation, evolution, and disease. This article reviews the main stages of genomic data analysis, including data acquisition, preprocessing, alignment, variant calling, annotation, and interpretation. Key challenges and current tools are also highlighted, alongside emerging trends such as artificial intelligence and multi-omics integration.