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Enabling biological research from molecular to population scales through efficient algorithms

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Speaker
David Koslicki Oregon State University
When
27 August 2018 from 12:00 PM to 1:00 PM
Where
317 Mueller Lab
Host
Dept of Biology
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Abstract:
This talk will focus on using efficient algorithms to extract insight from biological data. While my main research area is in genomics and metagenomics, the computational techniques I develop span a number of biological scales and application areas. In this talk, I will start at the molecular level, describing optimization-based approaches to classifying DNA sequences. Next, I will detail how related techniques can be used to analyze systems within a single organism (specifically, gene regulatory networks) as well as communities of organisms (via phylogenetic beta-diversity measures). I will end at the population level, highlighting advancements in population ecological as well as human patient populations. The common analytical thread throughout is the usage of probability, optimization, and graph algorithms to enable biological insight.