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DTSTART:20130310T020000
RDATE:20130310T020000
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CREATED;VALUE=DATE-TIME:20130307T165338Z
DTEND;TZID=America/Los_Angeles;VALUE=DATE-TIME:20130312T113000
DTSTART;TZID=America/Los_Angeles;VALUE=DATE-TIME:20130312T103000
DTSTAMP;VALUE=DATE-TIME:20130307T165338Z
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UID:http://calagator.org/events/1250463783
DESCRIPTION:Presented by Erlend Hamberg.&#13\;\n&#13\;\nAn important prob
 lem in genetics is phylogenetic inference: Coming up with good hypothese
 s for the evolutionary relationship between species – usually represente
 d as a “family tree”. As the amount of molecular data (e.g. DNA sequence
 s) quickly grows\, efficient algorithms become increasingly important to
  analyze this data. A maximum-likelihood approach with models for nucleo
 tide evolution allows us to use all the sequence data\, but is a computa
 tionally expensive approach. The number of possible trees also grows rap
 idly as we include more species. It is therefore necessary to use heuris
 tic search methods to find good hypotheses for the “true” tree. Evolutio
 nary algorithms (EA) is a class of such search/optimization algorithms t
 hat has been shown to perform well in other areas where the search space
  is large and irregular. I will explain my approach and my findings from
  using an evolutionary algorithm for inferring phylogenies from molecula
 r data.\n\nTags: galois\, tech talk\, algorithms\, classification\n\nImp
 orted from: http://calagator.org/events/1250463783
URL:https://corp.galois.com/blog/2013/3/7/tech-talk-inferring-phylogenies
 -using-evolutionary-algorithm.html
SUMMARY:Galois Tech Talk: Inferring Phylogenies Using Evolutionary Algori
 thms
LOCATION:Galois\, Inc: 421 SW 6th Ave. Suite 300\, Portland OR 97204 US
SEQUENCE:1
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