Please use this identifier to cite or link to this item: doi:10.22028/D291-28710
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Title: A graph-based approach to diploid genome assembly
Author(s): Garg, Shilpa
Rautiainen, Mikko
Novak, Adam M.
Garrison, Erik
Durbin, Richard
Marschall, Tobias
Language: English
Title: Bioinformatics
Volume: 34
Issue: 13
Startpage: 105
Endpage: 114
Publisher/Platform: Oxford University Press
Year of Publication: 2018
Publikation type: Journal Article
Abstract: Constructing high-quality haplotype-resolved de novo assemblies of diploid genomes is important for revealing the full extent of structural variation and its role in health and disease. Current assembly approaches often collapse the two sequences into one haploid consensus sequence and, therefore, fail to capture the diploid nature of the organism under study. Thus, building an assembler capable of producing accurate and complete diploid assemblies, while being resource-efficient with respect to sequencing costs, is a key challenge to be addressed by the bioinformatics community.
DOI of the first publication: 10.1093/bioinformatics/bty279
Link to this record: hdl:20.500.11880/27710
http://dx.doi.org/10.22028/D291-28710
ISSN: 1367-4803
1460-2059
Date of registration: 7-Sep-2019
Faculty: MI - Fakultät für Mathematik und Informatik
Department: MI - Informatik
Professorship: MI - Prof. Dr. Tobias Marschall
Collections:UniBib – Die Universitätsbibliographie

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