[Faculty] Fwd: [CSRC.COLLOQUIUM] "Fast Algorithms for Estimating Ancestry, Relatedness, and Evolutionary History from Big Population Genomic Data"

[Jose Castillo]

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DATE:
*Friday, November 19, 2021*


TITLE:
*Fast Algorithms for Estimating Ancestry, Relatedness, and Evolutionary
History from Big Population Genomic Data*

TIME:
*3:30-4:30PM*



LOCATION:
*In Person - GMCS 314*
or
Join Zoom Meeting -   https://SDSU.zoom.us/j/86808277973
<https://sdsu.zoom.us/j/86808277973>


SPEAKER/BIO:
*Arun Sethuraman, Biology, San Diego State University *


ABSTRACT:
There is a great need for improved fast and efficient algorithms and
software for parsing and making sense of large scale population genomic
data. My research involves development of new statistical/computational
methods for the estimation of (1) genetic ancestry, (2) relatedness, (3)
evolutionary history from population genomic data. These methods are
applied widely in the fields of human genomics, forensics, conservation,
and agriculture. In this talk, I will use a case study of the evolution of
anatomically modern humans in Africa to discuss (1) a multinomial
clustering method to estimate their genetic ancestry, and (2) a non-linear
programming method to estimate relatedness between individuals.


Host:
*Jose Castillo*

Note: Videos of previous colloquium talks can be seen on the CSRC website
in the colloquium archive section or on the CSRC YouTube page here
<https://www.youtube.com/channel/UCN0ZEztlmyDqG2pm-Rle_Eg/feed>.




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