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Mendeley readers
Chapter title |
Deciphering 3D Organization of Chromosomes Using Hi-C Data
|
---|---|
Chapter number | 19 |
Book title |
Bacterial Chromatin
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Published in |
Methods in molecular biology, August 2018
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DOI | 10.1007/978-1-4939-8675-0_19 |
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 |
In order to interpret data from Hi-C studies genome-wide contact probability maps need to be translated into models of functional 3D genome organization. Here, we first present an overview of computational methods to analyze contact probability maps in terms of features such as the level and shape of compartmentalization. Next, we describe approaches to modeling 3D genome organization based on Hi-C data. |
Mendeley readers
The data shown below were compiled from readership statistics for 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 10 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 4 | 40% |
Student > Ph. D. Student | 3 | 30% |
Other | 1 | 10% |
Unknown | 2 | 20% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 5 | 50% |
Agricultural and Biological Sciences | 2 | 20% |
Unknown | 3 | 30% |