Comparative Genomic Hybridization (CGH) analysis has emerged as a pivotal tool in deciphering genomic variations across diverse organisms. This study delves into the intricacies of CGH methodology, offering a comprehensive overview of its principles, applications, and advancements. By scrutinizing genomic landscapes, CGH enables the detection of copy number variations, chromosomal abnormalities, and genomic imbalances with high precision. Through a systematic exploration of CGH techniques, including array CGH and next-generation sequencing-based approaches, this research sheds light on the evolving landscape of genomic analysis. Furthermore, we discuss the integration of CGH data with other omics datasets, facilitating a holistic understanding of genetic alterations underlying complex phenotypes and diseases. Ultimately, this deep dive into CGH analysis underscores its pivotal role in unraveling genomic variations and advancing our understanding of genetic diversity and disease etiology.

Comparative Genomic Hybridization, Genomic Variations, Copy Number Variations

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