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Generating High-Resolution Hi-C Contact Maps of Bacteria
- Source :
- Hi-C Data Analysis, Hi-C Data Analysis, 2301, Springer US, pp.183-195, 2021, Methods in Molecular Biology, 978-1-0716-1390-0. ⟨10.1007/978-1-0716-1390-0_9⟩, Methods in Molecular Biology ISBN: 9781071613894
- Publication Year :
- 2021
- Publisher :
- HAL CCSD, 2021.
-
Abstract
- International audience; During the past decade, Chromosome Conformation Capture (3C/Hi-C)-based methods have been used to probe the 3D structure and organization of bacterial genomes, revealing fundamental aspects of chromosome dynamics. However, the current protocols are expensive, inefficient, and limited in their resolution. Here we present a simple, cost-effective Hi-C approach that is readily applicable to a range of Gram-positive and Gram-negative bacteria.
- Subjects :
- Chromosome conformation capture
biology
Bacteria
Computer science
[SDV]Life Sciences [q-bio]
Resolution (electron density)
High resolution
Computational biology
Bacterial genome size
biology.organism_classification
Genome organization
MESH: Gram-Positive Bacteria
MESH: Bacteria
MESH: Software
Chromosome (genetic algorithm)
Hi-C
MESH: Anti-Bacterial Agents
MESH: Gram-Negative Bacteria
MESH: Chromosomes
Prokaryotes
3C
Genomic organization
Subjects
Details
- Language :
- English
- ISBN :
- 978-1-07-161390-0
978-1-07-161389-4 - ISBNs :
- 9781071613900 and 9781071613894
- Database :
- OpenAIRE
- Journal :
- Hi-C Data Analysis, Hi-C Data Analysis, 2301, Springer US, pp.183-195, 2021, Methods in Molecular Biology, 978-1-0716-1390-0. ⟨10.1007/978-1-0716-1390-0_9⟩, Methods in Molecular Biology ISBN: 9781071613894
- Accession number :
- edsair.doi.dedup.....df10c5e1eb1c58dfa71595edb3c92f2b