Abstract Details
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Activity Number:
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466
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Type:
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Invited
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Date/Time:
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Wednesday, August 7, 2013 : 8:30 AM to 10:20 AM
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Sponsor:
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International Society for Bayesian Analysis (ISBA)
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| Abstract - #307080 |
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Title:
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What Sequencing and Bayesian Modeling Tell Us About the Three-Dimensional Organization of Mammalian Genomes
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Author(s):
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Zhaohui Steve Qin*+
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Companies:
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Emory University
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Keywords:
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DNA 3D structure ;
high-throughput technology
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Abstract:
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Understanding how chromosomes fold provides insights into transcription regulation hence functional state of the cell. Recently, chromosomal conformation capture (3C)-related technologies have been developed to provide a genome-wide view of chromatin organization. However, analyzing data obtained from these new assays is a grand challenge. We propose a series of Bayesian probabilistic models to better understand and interpret Hi-C data. We also discuss the observations we made when applying our models to real Hi-C datasets.
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Authors who are presenting talks have a * after their name.
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