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- W3028292989 abstract "Genomic structure variations are important drivers of the occurrence of a variety of tumors. Although there are technologies based on the karyotype analysis, PCR immunofluorescence and Chip hybridization and high-throughput sequencing can be used in the detection of the structure variations, there is still a lack of widely agreed detection technologies and the corresponding analytical tools due to technical limitations. The detection of structure variations in tumor samples is facing a more severe challenge. In the past two decades, chromosome conformation capture technology and its derived high-throughput technologies, such as Hi-C, have provided a great quantity of omics data for the analysis of three-dimensional genome architecture. Since the variation of genome architecture usually causes the abnormality of three-dimensional map of the genome, using the abnormality of Hi-C map to predict structure variations becomes a new research direction. The prediction methods based on Hi-C technology have their unique advantages. For example, they can accurately predict the structural variations located in the repeat sequence of the genome. However, they also have some limitations, such as the inability to predict small structure variations. This paper systematically reviews the main research methods, tools and corresponding principles of structure variations, and focuses on the basic principles, technical advantages and limitations for using Hi-C technology to predict structure variations. Finally, we introduced the practical applications of this technique in tumor research." @default.
- W3028292989 created "2020-05-29" @default.
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- W3028292989 date "2020-04-01" @default.
- W3028292989 modified "2023-09-25" @default.
- W3028292989 title "Identification of genomic structure variation based on Hi-C technology and its application in tumor research" @default.
- W3028292989 doi "https://doi.org/10.1360/ssv-2019-0169" @default.
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