Estimating enrichment of repetitive elements from high-throughput sequence data
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Day-2010-Estimating enrichment of repetitive elements.pdf
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900.84 KB
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Author(s)
Luquette, Lovelace J.
Kharchenko, Peter V.
Day, Daniel Sindt
Park, Peter J.
Date Issued
June 2010
Journal
Genome Biology
Publisher
Springer (Biomed Central Ltd.)
Citation
Day, Daniel S et al. “Estimating Enrichment of Repetitive Elements from High-throughput Sequence Data.” Genome Biology 11.6 (2010): R69. Web. 1 Mar. 2012.
Version
Final published version
Abstract
We describe computational methods for analysis of repetitive elements from short-read sequencing data, and apply them to study histone modifications associated with the repetitive elements in human and mouse cells. Our results demonstrate that while accurate enrichment estimates can be obtained for individual repeat types and small sets of repeat instances, there are distinct combinatorial patterns of chromatin marks associated with major annotated repeat families, including H3K27me3/H3K9me3 differences among the endogenous retroviral element classes.
MIT Department
Harvard University--MIT Division of Health Sciences and Technology
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Creative Commons Attribution
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1186/gb-2010-11-6-r69
