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Hi-C Analysis/证据
方法证据记录

Hi-C Analysis

Hi-C (High-Chromosome Conformation Capture) is a technique and associated computational methods for mapping the 3D architecture of the genome within cells. Developed by Lieberman-Aiden and Dekker in 2009, Hi-C identifies physical interactions between genomic regions that may be distant in linear sequence but spatially proximal in 3D nuclear space. Hi-C analysis has revealed fundamental principles of genome organization, including the existence of topologically associating domains (TADs), and provides insights into how 3D structure regulates gene expression and DNA replication.

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源记录

引文逐字复制自方法源记录。这些引文不代表任何层级的验证。

Hi-C Analysis of 3D Genome Organization and Chromatin Interactions
分类方法记录 · process-pipeline / genetics
  • Lieberman-Aiden, E., van Berkum, N. L., Williams, L., Imakaev, M., Ragoczy, T., Telling, A., & Dekker, J. (2009). Comprehensive mapping of long-range interactions reveals folding principles of the human genome. Science, 326(5950), 289–293. · DOI 10.1126/science.1181369
  • Dixon, J. R., Selvaraj, S., Yue, F., Kim, A., Li, Y., Shen, Y., & Ren, B. (2012). Topological domains in mammalian genomes identified by analysis of chromatin interactions. Nature, 485(7398), 376–380. · DOI 10.1038/nature11082
  • Szabo, Q., Bantignies, F., & Cavalli, G. (2019). 3D chromatin architecture. Nature Reviews Molecular Cell Biology, 20(4), 207–220. · URL
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Same method familyATAC-seq Analysismachine-suggested · Relational suggestion, not evidence.Same method familyRNA Velocitymachine-suggested · Relational suggestion, not evidence.

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