Estimating Enrichment of Repetitive Elements from High-throughput Sequence Data
Citation
Day, Daniel S., Lovelace J. Luquette, Peter J. Park, and Peter V. Kharchenko. 2010. Estimating enrichment of repetitive elements from high-throughput sequence data. Genome Biology 11(6): R69.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.Other Sources
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2911117/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#LAACitable link to this page
http://nrs.harvard.edu/urn-3:HUL.InstRepos:4725502
Collections
- HMS Scholarly Articles [17875]
Contact administrator regarding this item (to report mistakes or request changes)