Q-Nuc: a bioinformatics pipeline for the quantitative analysis of nucleosomal profiles-Reference-Cited by-同舟云学术

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Q-Nuc: a bioinformatics pipeline for the quantitative analysis of nucleosomal profiles

Published:2019-12-16 Issue:1 Volume:12 Page:69-81
ISSN:1913-2751
Container-title:Interdisciplinary Sciences: Computational Life Sciences
language:en
Short-container-title:Interdiscip Sci Comput Life Sci

Author:

Wang Yuan,Sun Qiu,Liang Jie,Li Hua^ORCID,Czajkowsky Daniel M.,Shao Zhifeng

Funder

National Basic Research Program of China

National Natural Science Foundation of China

Foundation for the National Institutes of Health

Publisher

Springer Science and Business Media LLC

Subject

Health Informatics,Computer Science Applications,General Biochemistry, Genetics and Molecular Biology

Link

http://link.springer.com/content/pdf/10.1007/s12539-019-00354-7.pdf

Reference42 articles.

1. Jiang C, Pugh BF (2009) Nucleosome positioning and gene regulation: advances through genomics. Nat Rev Genet 10(3):161–172. https://doi.org/10.1038/nrg2522

2. Radman-Livaja M, Rando OJ (2010) Nucleosome positioning: How is it established, and why does it matter? Dev Biol 339(2):258–266. https://doi.org/10.1016/j.ydbio.2009.06.012

3. Luger K, Dechassa ML, Tremethick DJ (2012) New insights into nucleosome and chromatin structure: an ordered state or a disordered affair? Nat Rev Mol Cell Biol 13(7):436–447. https://doi.org/10.1038/nrm3382

4. Struhl K, Segal E (2013) Determinants of nucleosome positioning. Nat Struct Mol Biol 20(3):267–273. https://doi.org/10.1038/nsmb.2506

5. Sekinger EA, Moqtaderi Z, Struhl K (2005) Intrinsic histone-DNA interactions and low nucleosome density are important for preferential accessibility of promoter regions in yeast. Mol Cell 18(6):735–748. https://doi.org/10.1016/j.molcel.2005.05.003

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