Chapter title |
Detecting Spatial Chromatin Organization by Chromosome Conformation Capture II: Genome-Wide Profiling by Hi-C
|
---|---|
Chapter number | 261 |
Book title |
Population Epigenetics
|
Published in |
Methods in molecular biology, February 2016
|
DOI | 10.1007/7651_2015_261 |
Pubmed ID | |
Book ISBNs |
978-1-4939-6901-2, 978-1-4939-6903-6
|
Authors |
Rudan, Matteo Vietri, Hadjur, Suzana, Sexton, Tom, Matteo Vietri Rudan, Suzana Hadjur, Tom Sexton, Vietri Rudan, Matteo |
Abstract |
The chromosome conformation capture (3C) method has been invaluable in studying chromatin interactions in a population of cells at a resolution surpassing that of light microscopy, for example in the detection of functional contacts between enhancers and promoters. Recent developments in sequencing-based chromosomal contact mapping (Hi-C, 5C and 4C-Seq) have allowed researchers to interrogate pairwise chromatin interactions on a wider scale, shedding light on the three-dimensional organization of chromosomes. These methods present significant technical and bioinformatic challenges to consider at the start of the project. Here, we describe two alternative methods for Hi-C, depending on the size of the genome, and discuss the major computational approaches to convert the raw sequencing data into meaningful models of how genomes are organized. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 1 | 50% |
France | 1 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 1 | 50% |
Members of the public | 1 | 50% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 31 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 8 | 26% |
Researcher | 5 | 16% |
Student > Bachelor | 3 | 10% |
Student > Master | 3 | 10% |
Professor > Associate Professor | 2 | 6% |
Other | 5 | 16% |
Unknown | 5 | 16% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 10 | 32% |
Agricultural and Biological Sciences | 8 | 26% |
Neuroscience | 3 | 10% |
Environmental Science | 1 | 3% |
Mathematics | 1 | 3% |
Other | 4 | 13% |
Unknown | 4 | 13% |