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DTSTAMP:20260808T230102Z
UID:d0e61277-b3b7-41b8-b612-8626a504c926
DTSTART:20190909T093000Z
DTEND:20190913T170000Z
DESCRIPTION:Reference genomes have become central to bioinformatics approac
 hes\, and form the core of standard analyses using contemporary sequencing
  data. However\, the use of linear reference genomes\, which provide the s
 equence of one representative genome for a species\, is increasingly becom
 ing a limitation as the number of sequenced genomes grows. In particular\,
  they tend to bias us away from the observation of variation in the genome
 s we study. \n\nA general solution to this problem is to use a pangenome t
 hat incorporates both sequence and variation from many individuals as our 
 reference system. This pangenome is naturally modelled as a graph with ann
 otations and can provide all the functionality traditionally provided by l
 inear reference genomes. Unlike linear reference genomes\, a pangenome rea
 dily incorporates both small and large variation\, allowing bias-free geno
 typing at known alleles.\n\nIn this course\, we will explore the use of mo
 dern bioinformatic tools that allow researchers to use pangenomes as their
  reference system when engaging in studies of organisms of all types. Such
  techniques will aid any researcher working on organisms of high genetic d
 iversity or on organisms lacking a high-quality reference genome. This cou
 rse targets all researchers interested in learning about an exciting parad
 igm shift in computational genomics.
LOCATION:Instituto Gulbenkian de Ciência (IGC)\, 6\, Rua Quinta Grande
SUMMARY:Computational PANGenomics
URL;VALUE=URI:http://gtpb.igc.gulbenkian.pt/bicourses/2019/CPANG19/index.ht
 ml
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