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3DAROC21 3C-based data analysis and 3D reconstruction of chromatin folding |
IMPORTANT DATES for this Course Deadline for applications:
Sep 24th 2021
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Instructors: |
Affiliation: Centro Nacional de Análisis Genómico (CNAG) and Center for Genomic Regulation (CRG), Barcelona, ES |
Affiliation: Institute of Human Genetics (IGH), Centre National de la Recherche Scientifique (CNRS), University of Montpellier, Montpellier, FR. |
Affiliation: Centro Nacional de Análisis Genómico (CNAG) and Center for Genomic Regulation (CRG), Barcelona, ES |
Course 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 fascinating problems in modern biology. The rigorous analysis of those paired-reads using computational tools has been essential to fully exploit the experimental technique, and to study how the genome is
folded in space. Currently, there is a clear expansion on the wealth of data on genome structure with the availability of many datasets of Hi-C experiments down to 1Kb resolution (see for example: In this course, participants will learn to use TADbit, a software designed and developed to manage all dimensionalities of the Hi-C data:
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Target AudienceThe course design is oriented towards experimental researchers and bioinformaticians at the graduate and post-graduate levels. The last edition of this course was attended by people with different backgrounds and interested in the genome organization. It is likely that the participants to this course aim at getting involved in generating Hi-C data for chromosome structure determination or that they just want to be able to correctly interpret and analyse publicly available data. |
Course Pre-requisitesRecommended Linux skills, graduate level in Life Sciences. |
Applications |
Detailed Program |
Support
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The Oeiras Valley support allows us to waive 50% of the course fee to accepted candidates that reside or work in the Oeiras council. |
Instituto Gulbenkian de Ciência, Apartado 14, 2781-901 Oeiras, Portugal Last updated: September 9th 2021 |