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Mendeley readers
Chapter title |
Processing and Analysis of Hi-C Data on Bacteria
|
---|---|
Chapter number | 2 |
Book title |
Bacterial Chromatin
|
Published in |
Methods in molecular biology, August 2018
|
DOI | 10.1007/978-1-4939-8675-0_2 |
Pubmed ID | |
Book ISBNs |
978-1-4939-8674-3, 978-1-4939-8675-0
|
Authors |
Andreas Hofmann, Dieter W. Heermann, Hofmann, Andreas, Heermann, Dieter W. |
Abstract |
The study of three-dimensional genome organization has recently gained much attention in the context of novel techniques for detecting genome-wide contacts using next-generation sequencing. These genome-wide chromosome conformation capture-based methods, such as Hi-C, give a deep topological insight into the architecture of the genome inside the cell. This chapter reviews the steps to process next-generation Hi-C sequencing data to generate a final contact probability map. We describe these steps using publicly available Hi-C datasets of different bacteria. We also present strategies to assess the quality of Hi-C datasets. |
Mendeley readers
The data shown below were compiled from readership statistics for 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 12 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 7 | 58% |
Student > Bachelor | 1 | 8% |
Student > Master | 1 | 8% |
Unknown | 3 | 25% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 4 | 33% |
Biochemistry, Genetics and Molecular Biology | 1 | 8% |
Physics and Astronomy | 1 | 8% |
Medicine and Dentistry | 1 | 8% |
Neuroscience | 1 | 8% |
Other | 0 | 0% |
Unknown | 4 | 33% |