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Abstract Details

Activity Number: 628
Type: Contributed
Date/Time: Thursday, August 2, 2012 : 8:30 AM to 10:20 AM
Sponsor: Biometrics Section
Abstract - #306694
Title: Analytical Methods for RRBS Methylation Data
Author(s): Michelle Lacey*+
Companies: Tulane University
Address: 6823 St. Charles Ave, New Orleans, LA, 70118-5665, United States
Keywords: epigenomics ; methylation ; bisulfite sequencing

Reduced representation bisulfite sequencing (RRBS) provides measurements of DNA methylation in sequencing experiments, thereby enabling single-nucleotide analyses on a genomic scale. Datasets consist of counts of methylated and unmethylated reads at millions of measured sites, and the detection of differentially methylated regions (DMRs) between sets of samples is a popular application of this technology. However, existing methods for the statistical analysis of RRBS datasets require that regions of interest be specified a priori and do not appropriately account for the considerable variation in read coverage that is observed when sets of samples are analyzed jointly. Through a study of methylation associated with myogenesis in both normal tissues and in FSHD patients, a new approach is presented to analyze RRBS data at the chromosomal level.

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