Exploring novel 3D genomics techniques, this research indicates enhanced chromatin analysis, emphasizing regulatory architectures and precision medicine advancements.
Conventional genomic analyses, constrained by linear representations, inadequately capture the spatial organization of chromatin, which is fundamental to gene regulation, epigenetic modulation, and pathological transformation. Three-dimensional (3D) genomics, a core domain within spatial genomics, facilitates the reconstruction and interrogation of chromatin topologies in their native nuclear milieu. This paper explores the technological, algorithmic, and translational dimensions of 3D genomics, emphasizing its potential to elucidate regulatory architectures and drive personalized therapeutic paradigms in precision medicine. We present a synthesis of high-resolution methodologies, integrative computational frameworks, and diseasecentric case applications, positioning spatial genomics as a cornerstone of next-generation biomedical strategies.
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Arjun Deshraje Urs (2025) studied this question.
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