BioVis 2012: 2nd IEEE Symposium on Biological Data Visualization
15 - 16 October 2012
Seattle, United States of AmericaBioVis 2012: 2nd IEEE Symposium on Biological Data Visualization http://www.biovis.net/about/ https://tess.elixir-europe.org/events/biovis-2012-2nd-ieee-symposium-on-biological-data-visualization 2012-10-15 09:00:00 UTC 2012-10-16 00:00:00 UTC IEEE Visweek Sheraton Seattle, Seattle, United States of America Sheraton Seattle Seattle United States of America Bioinformatics    meetings_and_conferences  ISCBCo-SponsoredorAffiliatedEventISCB
18th Annual International Conference on Research in Computational Molecular Biology
2 - 5 April 2014
Pittsburgh, United States of America18th Annual International Conference on Research in Computational Molecular Biology http://www.compbio.cmu.edu/recomb/ https://tess.elixir-europe.org/events/18th-annual-international-conference-on-research-in-computational-molecular-biology 2014-04-02 01:00:00 UTC 2014-04-05 01:00:00 UTC Carnegie Mellon University - University of Pittsburgh Pittsburgh, United States of America Pittsburgh United States of America Statistics and probability Bioinformatics    meetings_and_conferences  ISCBISCBCo-SponsoredorAffiliatedEvent
10 - 14 October 2016
Oeiras, Portugal3DAROC16 http://gtpb.igc.gulbenkian.pt/bicourses/3DAROC16/ https://tess.elixir-europe.org/events/3daroc16 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 the 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: 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 software designed and developed to manage all dimensionalities of the Hi-C data: 1D - Map paired-end sequences to generate Hi-C interaction matrices 2D - Normalize matrices and identify constitutive domains (TADs, compartments) 3D - Generate populations of structures which satisfy the Hi-C interaction matrices 4D - Compare samples at different time points Participants 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 be 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, alternative software will be discussed for each part of the analysis. 2016-10-10 09:00:00 UTC 2016-10-14 00:00:00 UTC Instituto Gulbenkian de Ciência Instituto Gulbenkian de Ciência, Oeiras, Portugal Instituto Gulbenkian de Ciência Oeiras Portugal 901 Sequencing    workshops_and_courses  Hi-Cdata
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