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DTSTAMP:20260716T094351Z
UID:e2399605-5ebc-405f-bd7b-6cdeaec28149
DTSTART:20211004T080000Z
DTEND:20211006T160000Z
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 cel
 l nucleus. Overall\, those interaction matrices have been used to study ho
 w the genome folds within the nucleus\, which is one of the most fascinati
 ng problems in modern biology. The rigorous analysis of those paired-reads
  using computational tools has been essential to fully exploit the experim
 ental technique\, and to study how the genome is folded in space. Currentl
 y\, there is a clear expansion on the wealth of data on genome structure w
 ith the availability of many datasets of Hi-C experiments down to 1Kb reso
 lution (see for example:\nhttp://hic.umassmed.edu/welcome/welcome.php or h
 ttp://www.aidenlab.org/data.html).\n\nIn this course\, participants will l
 earn to use TADbit\, a software designed and developed to manage all dimen
 sionalities of the Hi-C data:\n\n    1D - Map paired-end sequences to gene
 rate Hi-C interaction matrices\n    2D - Normalize matrices and identify c
 onstitutive domains (TADs\, compartments)\n    3D - Generate populations o
 f structures which satisfy the Hi-C interaction matrices\n    4D - Compare
  samples at different time points\n\nParticipants can bring specific biolo
 gical questions and/or their own 3C-based data to analyze during the cours
 e. At the end of the course\, participants will be familiar with the TADbi
 t software and will be able to fully analyze Hi-C data. Although the TADbi
 t software is central in this course\, alternative software will be discus
 sed for each part of the analysis. 
SUMMARY:3DAROC21 3C-based data analysis and 3D reconstruction of chromatin 
 folding 
URL;VALUE=URI:http://gtpb.igc.gulbenkian.pt/bicourses/2021/3DAROC21/
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