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SUMMARY:Eric Stone (ANU)
DTSTART:20220510T060000Z
DTEND:20220510T070000Z
DTSTAMP:20260423T022841Z
UID:anumacs/1
DESCRIPTION:Title: <a href="https://researchseminars.org/talk/anumacs/1/">
 Stories of mathematics and computational science in genetic mapping</a>\nb
 y Eric Stone (ANU) as part of ANU Mathematics and Computational Sciences S
 eminar\n\nLecture held in Room 1.33\, Hanna Neumann Building #145.\n\nAbst
 ract\nTraits of interest often vary within a population\, leading biologis
 ts to investigate the genetic basis of that observed variation. This can b
 e done directly via an association study\, in which one of many methods is
  used to identify correlational patterns that link genetic variation to tr
 ait variation. Alternatively\, in experimental systems\, individuals can b
 e selectively bred to create a “genetic mapping population” with a mor
 e desirable signal-to-noise ratio. In this talk\, I will share my experien
 ce creating mapping populations as a vehicle to introducing some of the ma
 thematical and computational challenges that have ensued. I will discuss c
 ombinational and probabilistic issues that arise in ideal populations\, co
 ntrasted by some algorithmic concerns that arise in natural populations. M
 y goal is to provide a sampling of accessible problems in mathematics and 
 computational science encountered in a practical biological context.\n
LOCATION:https://researchseminars.org/talk/anumacs/1/
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