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SUMMARY:A new perspective from Information Theory on genetic sequences - O
 mri Tal\, Max Planck Institute for Mathematics in the Sciences
DTSTART:20170113T140000Z
DTEND:20170113T150000Z
UID:TALK69723@talks.cam.ac.uk
CONTACT:Rachel Furner
DESCRIPTION:I demonstrate conceptual links between features of population 
 genetic samples and a core information-theoretic property. In essence\, lo
 ng stretches of genetic variants may be captured as ‘typical sequences
 ’ of a nonstationary source modelled on the source population. I will in
 troduce the concepts of typical genotypes\, population entropy rate and mu
 tual typicality\, and their relation to the asymptotic equipartition prope
 rty. The interplay of typical genotypes from differing populations and the
 ir geometric properties in high dimensional space will provide motivation 
 for constructing simple typicality-based population assignment schemes\, w
 here the communication channel can be likened to an inferential channel. W
 e then highlight a surprising resilience to allele frequency estimation no
 ise of such schemes. Finally\, I will discuss the prospects of further app
 lications of ideas from information theory for interpreting population gen
 etic data. 
LOCATION:MR14  Centre for Mathematical Sciences
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