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Abstract Details
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Activity Number:
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628
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Type:
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Contributed
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Date/Time:
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Thursday, August 2, 2012 : 8:30 AM to 10:20 AM
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Sponsor:
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Biometrics Section
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| Abstract - #306694 |
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Title:
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Analytical Methods for RRBS Methylation Data
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Author(s):
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Michelle Lacey*+
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Companies:
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Tulane University
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Address:
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6823 St. Charles Ave, New Orleans, LA, 70118-5665, United States
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Keywords:
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epigenomics ;
methylation ;
bisulfite sequencing
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Abstract:
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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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The address information is for the authors that have a + after their name.
Authors who are presenting talks have a * after their name.
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