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DTSTAMP:20260618T093436Z
UID:eebc95f6-dfe0-453a-a73a-7c4f0578d4c9
DTSTART:20161010T090000Z
DTEND:20161014T000000Z
DESCRIPTION:3C-based methods\, such as Hi-C\, produce a huge amount of raw 
 data as pairs of DNA reads that are in close spatial proximity in the cell
  nucleus. Overall\, those interaction matrices have been used to study how
  the genome folds within the nucleus\, which is one of the most fascinatin
 g problems in modern biology. The rigorous analysis of those paired-reads 
 using computational tools has been essential to fully exploit the experime
 ntal technique\, and to study how the genome is folded in the space. Curre
 ntly\, there is a clear expansion on the wealth of data on genome structur
 e with the availability of many datasets of Hi-C experiments down to 1Kb r
 esolution (see for example: http://hic.umassmed.edu/welcome/welcome.php \;
  http://promoter.bx.psu.edu/hi-c/view.php or http://www.aidenlab.org/data.
 html ). In this course\, participants will learn to use TADbit\, a softwar
 e designed and developed to manage all dimensionalities of the Hi-C data:\
 n1D - Map paired-end sequences to generate Hi-C interaction matrices\n2D -
  Normalize matrices and identify constitutive domains (TADs\, compartments
 )\n3D - Generate populations of structures which satisfy the Hi-C interact
 ion matrices\n4D - Compare samples at different time points\nParticipants 
 can bring- specific biological questions and/or their own 3C-based data to
  analyze during the course. At the end of the course\, participants will b
 e familiar with the TADbit software and will be able to fully analyze Hi-C
  data. Note: Although the TADbit software is central in this course\, alte
 rnative software will be discussed for each part of the analysis.
LOCATION:Instituto Gulbenkian de Ciência
SUMMARY:3DAROC16 
URL;VALUE=URI:http://gtpb.igc.gulbenkian.pt/bicourses/3DAROC16/
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