@techreport{oai:ipsj.ixsq.nii.ac.jp:00218623,
 author = {Ryo, Ishibashi and Y-H., Taguchi and Ryo, Ishibashi and Y-H., Taguchi},
 issue = {53},
 month = {Jun},
 note = {The accessibility of genomic information depends on how DNA is packed into chromatin. Euchromatin is a genome region consisting of DNA with a relatively loose structure. The open structure allows RNA polymerase and other proteins to access the genome for DNA transcription. Gene expression is controlled by promotors located near the gene and gene regulatory sites called enhancers located from the gene. However, how promoters and enhancers interact with each other to regulate gene expression is not well understood. Hi-C can be used to analyze the 3D structure of a genome by detecting genomic regions that are spatially close to each other using next-generation sequencing. The conventional method led to an approximation of the genome structure from the Hi-C heatmap [1]. We demonstrated the potential of using the Hi-C method for identifying DNA loops by applying Multi-Dimensional Scaling (MDS)., The accessibility of genomic information depends on how DNA is packed into chromatin. Euchromatin is a genome region consisting of DNA with a relatively loose structure. The open structure allows RNA polymerase and other proteins to access the genome for DNA transcription. Gene expression is controlled by promotors located near the gene and gene regulatory sites called enhancers located from the gene. However, how promoters and enhancers interact with each other to regulate gene expression is not well understood. Hi-C can be used to analyze the 3D structure of a genome by detecting genomic regions that are spatially close to each other using next-generation sequencing. The conventional method led to an approximation of the genome structure from the Hi-C heatmap [1]. We demonstrated the potential of using the Hi-C method for identifying DNA loops by applying Multi-Dimensional Scaling (MDS).},
 title = {Identification of DNA Loops in the Genome by Multidimensional Scaling},
 year = {2022}
}