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Activity Number:
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130
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Type:
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Topic Contributed
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Date/Time:
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Monday, August 4, 2008 : 10:30 AM to 12:20 PM
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Sponsor:
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Section on Bayesian Statistical Science
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| Abstract - #302188 |
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Title:
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Analyzing Phylogenetic Recombination Data with Ancestral Recombination Graphs
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Author(s):
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Erik W. Bloomquist*+ and Marc A. Suchard
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Companies:
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University of California, Los Angeles and University of California, Los Angeles
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Address:
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UCLA School of Public Health, Los Angeles, CA, 90095,
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Keywords:
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Phylogenetics ; Recombination ; Ancestral Recombination Graph ; Coalescent ; HIV
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Abstract:
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In the past ten years, advances in computing technology and Bayesian statistics have revolutionized the field of statistical phylogenetics. By allowing for more complex and realistic models, statistical phylogenetics can now more adequately model and analyze genetic datasets. In particular, Bayesian phylogenetic models have better handled the problem of putative recombination inference and detection. In this talk, I will review some of our group's research on Bayesian phylogenetic models for recombination. Afterward, I will discuss and present some of our current work regarding Ancestral Recombination Graphs.
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