Methoden vergelijken
Bekijk de geselecteerde methoden naast elkaar; rijen die verschillen zijn gemarkeerd.
| ATAC-seq Analyse× | Hi-C Analyse× | |
|---|---|---|
| Vakgebied | Genetica | Genetica |
| Familie | Process / pipeline | Process / pipeline |
| Jaar van ontstaan≠ | 2013 | 2009 |
| Grondlegger≠ | Jason Buenrostro, Paul Giresi & William Greenleaf | Erez Lieberman-Aiden & Job Dekker |
| Type≠ | Chromatin profiling method | Chromatin interaction method |
| Oorspronkelijke bron≠ | Buenrostro, 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 ↗ |
| Aliassen | Chromatin accessibility, Open chromatin, Accessible chromatin analysis | Chromosome conformation capture, 3D genome, Chromatin contact mapping |
| Verwant | 2 | 2 |
| Samenvatting≠ | ATAC-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. |
| ScholarGateGegevensset ↗ |
|
|