Cargando…
Advantages of using graph databases to explore chromatin conformation capture experiments
BACKGROUND: High-throughput sequencing Chromosome Conformation Capture (Hi-C) allows the study of DNA interactions and 3D chromosome folding at the genome-wide scale. Usually, these data are represented as matrices describing the binary contacts among the different chromosome regions. On the other h...
Autores principales: | D’Agostino, Daniele, Liò, Pietro, Aldinucci, Marco, Merelli, Ivan |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8073886/ https://www.ncbi.nlm.nih.gov/pubmed/33902433 http://dx.doi.org/10.1186/s12859-020-03937-0 |
Ejemplares similares
-
Integrating multi-omic features exploiting Chromosome Conformation Capture data
por: Merelli, Ivan, et al.
Publicado: (2015) -
The Genome Conformation As an Integrator of Multi-Omic Data: The Example of Damage Spreading in Cancer
por: Tordini, Fabio, et al.
Publicado: (2016) -
Capturing native interactions: intrinsic methods to study chromatin conformation
por: Rowley, M Jordan, et al.
Publicado: (2016) -
26th Euromicro International Conference on Parallel, Distributed and Network-based Processing
por: Merelli, Ivan, et al.
Publicado: (2018) -
NuChart: An R Package to Study Gene Spatial Neighbourhoods with Multi-Omics Annotations
por: Merelli, Ivan, et al.
Publicado: (2013)