Genomic Sequence is Highly Predictive of Local Nucleosome Depletion

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Genomic Sequence is Highly Predictive of Local Nucleosome Depletion

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Title: Genomic Sequence is Highly Predictive of Local Nucleosome Depletion
Author: Yuan, Guo-Cheng; Liu, Jun

Note: Order does not necessarily reflect citation order of authors.

Citation: Yuan, Guo-Cheng, and Jun S. Liu. 2008. Genomic sequence is highly predictive of local nucleosome depletion. PLoS Computational Biology 4(1): e13.
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Abstract: The regulation of DNA accessibility through nucleosome positioning is important for transcription control. Computational models have been developed to predict genome-wide nucleosome positions from DNA sequences, but these models consider only nucleosome sequences, which may have limited their power. We developed a statistical multi-resolution approach to identify a sequence signature, called the N-score, that distinguishes nucleosome binding DNA from non-nucleosome DNA. This new approach has significantly improved the prediction accuracy. The sequence information is highly predictive for local nucleosome enrichment or depletion, whereas predictions of the exact positions are only modestly more accurate than a null model, suggesting the importance of other regulatory factors in fine-tuning the nucleosome positions. The N-score in promoter regions is negatively correlated with gene expression levels. Regulatory elements are enriched in low N-score regions. While our model is derived from yeast data, the N-score pattern computed from this model agrees well with recent high-resolution protein-binding data in human.
Published Version: doi:10.1371/journal.pcbi.0040013
Other Sources: http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2211532/pdf/
Terms of Use: This article is made available under the terms and conditions applicable to Other Posted Material, as set forth at http://nrs.harvard.edu/urn-3:HUL.InstRepos:dash.current.terms-of-use#LAA
Citable link to this page: http://nrs.harvard.edu/urn-3:HUL.InstRepos:4454676

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  • FAS Scholarly Articles [7470]
    Peer reviewed scholarly articles from the Faculty of Arts and Sciences of Harvard University
 
 

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