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DTSTART:19700329T010000
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CATEGORIES:Computational and Systems Biology Seminar Series 2
 023 - 24
SUMMARY:Research in the Goldman group: pandemic-scale phyl
 ogenetics\, and optimizing new sequencing technolo
 gies - Nick Goldman and Nicola De Maio\, EMBL-Euro
 pean Bioinformatics Institute
DTSTART;TZID=Europe/London:20230208T140000
DTEND;TZID=Europe/London:20230208T150000
UID:TALK192041AThttp://talks.cam.ac.uk
URL:http://talks.cam.ac.uk/talk/index/192041
DESCRIPTION:We will give a summary of the ongoing research in 
 the Goldman group at EMBL-EBI\, and of possible pr
 ojects for the students. \nFirst\, we will describ
 e our work in large-scale phylogenetics\, and in p
 articular the development of a new algorithm for f
 ast and accurate phylogenetic analysis of millions
  of SARS-CoV-2 genomes. \nPhylogenetic methods are
  essential in studying evolution\, as exemplified 
 by their use during the SARS-CoV-2 pandemic to ide
 ntify new variants\, reconstruct the origin of the
  virus\, and trace transmission\, among many other
  applications. Phylogenetic analyses have however 
 been hindered by their elevated computational dema
 nd and low reliability\, issues that we address wi
 th a new algorithm specifically developed for scen
 arios of low divergence between genomes. Secondly\
 , we are working on optimizing the genome-sequenci
 ng data gathering capabilities of third-generation
  technologies.  Nanopore sequencing devices now ha
 ve the ability to 'reject' DNA fragments they have
  started to read\, and we have been working on met
 hods that enable good strategies for which fragmen
 ts to read in their entirety and which to reject. 
  We will describe two experimental contexts in whi
 ch our methods can be useful\, one of which is wor
 king and recently published and one of which is st
 ill work-in-progress.\n
LOCATION:CMS\, Meeting Room 15
CONTACT:Samantha Noel
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