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Combinatorial Algorithms for Tree-Based Haplotype Inference
Algebra & Discrete Mathematics| Speaker: | Prof. Dan Gusfield, Dept. of CS UC Davis |
| Location: | 693 Kerr |
| Start time: | Thu, Oct 24 2002, 12:10PM |
Description
The next high-priority phase of human genomics will involve
the development of a full Haplotype Map of the human genome. It will
be used in large-scale screens of populations to associate specific
haplotypes with specific complex genetic-influenced diseases. However,
most studies will collect genotype data rather than haplotype data,
requiring the deduction of haplotype information from genotype data.
How to deduce haplotype information from genotype data was
a nice quite research problem, but with the Haplotype Map Project,
it has recently become "hot".
Over the last several years, I have developed several distinct
combinatorial algorithms for the haplotyping problem.
I will talk about my most recent approach,
based on viewing the haplotyping problem in the context of the
perfect phylogeny problem.
I will fully explain any needed biology in this talk, so no background in
biology
(or matroids) is needed.
