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GeneRHi-C: 3D GENomE Reconstruction from Hi-C data
University of Saskatchewan, Canada.
RISE - Research Institutes of Sweden, ICT, SICS.
University of Saskatchewan, Canada.
2019 (English)Conference paper, Published paper (Refereed)
Abstract [en]

Background: Many computational methods have been developedthat leverage the results from biological experiments (such as Hi-C)to infer the 3D organization of the genome. Formally, this is referredto as the 3D genome reconstruction problem (3D-GRP). Hi-C datais now being generated at increasingly high resolutions. As thisresolution increases, it has become computationally infeasible topredict a 3D genome organization with the majority of existingmethods. None of the existing solution methods have utilized a nonproceduralprogramming approach (such as integer programming)despite the established advantages and successful applications ofsuch approaches for predicting high-resolution 3D structures ofother biomolecules. Our objective was to develop a new solution tothe 3D-GRP that utilizes non-procedural programming to realizethe same advantages.

Place, publisher, year, edition, pages
2019.
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:ri:diva-42457ISBN: 978-1-4503-7215-2 (print)OAI: oai:DiVA.org:ri-42457DiVA, id: diva2:1383612
Conference
10th International Conference on Computational Systems-Biology and Bioinformatics (CSBio 2019)
Available from: 2020-01-08 Created: 2020-01-08 Last updated: 2020-01-08

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CiteExportLink to record
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