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NucleoFinder: a statistical approach for the detection of nucleosome positions

Abstract:

Motivation: The identification of nucleosomes along the chromatin is key to understanding their role in the regulation of gene expression and other DNA-related processes. However, current experimental methods (MNase-ChIP, MNase-Seq) sample nucleosome positions from a cell population and contain biases, making thus the precise identification of individual nucleosomes not straightforward. Recent works have only focused on the first point, where noise reduction approaches hav...

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Publication status:
Published
Peer review status:
Peer reviewed
Version:
Publisher's version

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Publisher copy:
10.1093/bioinformatics/bts719

Authors


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Institution:
University of Oxford
Department:
Mathematical,Physical & Life Sciences Division - Statistics
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Institution:
University of Oxford
Department:
Mathematical,Physical & Life Sciences Division - Statistics
More by this author
Institution:
Medical Research Council
Department:
Harwell Science and Innovation Campus
More by this author
Institution:
University of Oxford
Department:
Mathematical,Physical & Life Sciences Division - Statistics

Contributors

Role:
Editor
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Funding agency for:
Jeremie Becker
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Funding agency for:
Christopher Yau
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Funding agency for:
Christopher C. Holmes
Publisher:
Oxford University Press Publisher's website
Journal:
Bioinformatics Journal website
Volume:
29
Issue:
6
Pages:
711-716
Publication date:
2013-03-05
DOI:
EISSN:
1460-2059
ISSN:
1367-4803
URN:
uuid:ea7f1d02-4aab-4787-aa85-abe4c48cc254
Local pid:
ora:7774

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