Abstract Details
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Activity Number:
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527
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Type:
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Topic Contributed
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Date/Time:
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Wednesday, August 7, 2013 : 10:30 AM to 12:20 PM
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Sponsor:
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Biometrics Section
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| Abstract - #309904 |
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Title:
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Statistical Analysis of RNA-Seq and Methylation-Seq Data
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Author(s):
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Fei Zou*+
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Companies:
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The University of North Carolina at Chapel Hill
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Keywords:
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RNA-seq ;
Methylation ;
ASE
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Abstract:
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In this talk, we discuss a statistical framework for dissecting the source of allele-specific expression using mouse reciprocal crosses. Our method jointly models the total read count (TReC) and the number of allele-specific reads per gene. It tests for both strain and parent-of-origin effects, plus the interaction between them. Other non-genetic factors, such as sex can be easily incorporated into the model. How to extend the model to allele-specific DNA methylation data will be discussed as well. We demonstrate the advantages of the proposed method via simulation and real data analysis
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Authors who are presenting talks have a * after their name.
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