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DTSTAMP:20250920T195614Z
DESCRIPTION:Irene Vrbik\, PhD\n\nPost doctoral Fellow\, Department of Mathe
 matics and Statistics\, ºÚÁϲ»´òìÈ University\n\nCluster analysis of genetic s
 equence data via the Gap Procedure\n\nALL ARE WELCOME\n\nAbstract:\n\nPhyl
 ogenetic clustering typically involves estimating a phylogenetic tree and 
 identifying groups of sequences having small genetic pairwise distances an
 d sufficiently high clade support (either bootstrap or posterior probabili
 ties). In this talk\, we explore a simple distance-based clustering algori
 thm\, called the Gap Procedure\, which uses gaps in sorted pairwise distan
 ces to suggest a natural divide between group members and non-members. We 
 show that the clusters found using the Gap Procedure agree closely with co
 mputationally expensive gold standard techniques on well separated groups 
 of HIV DNA sequence data. Simulation studies are also presented to illustr
 ate the scenarios in which this fast and easy to implement algorithm may b
 e employed\, and more importantly\, when more sophisticated methods are re
 quired.\n\nBio:\n\nhttp://www.math.mcgill.ca/ivrbik/\n
DTSTART:20160216T203000Z
DTEND:20160216T213000Z
LOCATION:Room 24\, Purvis Hall\, CA\, QC\, Montreal\, H3A 1A2\, 1020 avenue
  des Pins Ouest
SUMMARY:Biostatistics Seminar - 'Cluster analysis of genetic sequence data 
 via the Gap Procedure'
URL:/epi-biostat-occh/channels/event/biostatistics-sem
 inar-cluster-analysis-genetic-sequence-data-gap-procedure-258352
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