ScholarGate
Asistent

Porovnať metódy

Prezrite si vybrané metódy vedľa seba; riadky, ktoré sa líšia, sú zvýraznené.

Analýza ATAC-seq×Analýza Hi-C×
OdborGenetikaGenetika
RodinaProcess / pipelineProcess / pipeline
Rok vzniku20132009
TvorcaJason Buenrostro, Paul Giresi & William GreenleafErez Lieberman-Aiden & Job Dekker
TypChromatin profiling methodChromatin interaction method
Pôvodný zdrojBuenrostro, J. D., Giresi, P. G., Zaba, L. C., Chang, H. Y., & Greenleaf, W. J. (2013). Transposition of native chromatin for fast and sensitive epigenomic profiling of cell populations and tissues. Nature Methods, 10(12), 1213–1218. link ↗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 ↗
Ďalšie názvyChromatin accessibility, Open chromatin, Accessible chromatin analysisChromosome conformation capture, 3D genome, Chromatin contact mapping
Príbuzné22
ZhrnutieATAC-seq (Assay for Transposase-Accessible Chromatin using sequencing) is a method for profiling the landscape of chromatin accessibility genome-wide. Developed by Buenrostro and colleagues in 2013, ATAC-seq uses hyperactive transposase to tag open, accessible chromatin regions, enabling rapid and sensitive identification of regulatory DNA elements. ATAC-seq has become a standard technique for characterizing gene regulatory landscapes, discovering cell-type-specific regulatory elements, and inferring gene regulatory networks.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.
ScholarGateDátová sada
  1. v1
  2. 3 Zdroje
  3. PUBLISHED
  1. v1
  2. 3 Zdroje
  3. PUBLISHED

Prejsť na hľadanie Stiahnuť snímky

ScholarGatePorovnať metódy: ATAC-seq Analysis · Hi-C Analysis. Získané 2026-06-17 z https://scholargate.app/sk/compare