Please use this identifier to cite or link to this item: https://doi.org/10.1186/s13059-016-0951-y
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dc.titleOPERA-LG: Efficient and exact scaffolding of large, repeat-rich eukaryotic genomes with performance guarantees
dc.contributor.authorGao, S
dc.contributor.authorBertrand, D
dc.contributor.authorChia, B.K.H
dc.contributor.authorNagarajan, N
dc.date.accessioned2020-10-27T10:43:05Z
dc.date.available2020-10-27T10:43:05Z
dc.date.issued2016
dc.identifier.citationGao, S, Bertrand, D, Chia, B.K.H, Nagarajan, N (2016). OPERA-LG: Efficient and exact scaffolding of large, repeat-rich eukaryotic genomes with performance guarantees. Genome Biology 17 (1) : 102. ScholarBank@NUS Repository. https://doi.org/10.1186/s13059-016-0951-y
dc.identifier.issn14747596
dc.identifier.urihttps://scholarbank.nus.edu.sg/handle/10635/181369
dc.description.abstractThe assembly of large, repeat-rich eukaryotic genomes represents a significant challenge in genomics. While long-read technologies have made the high-quality assembly of small, microbial genomes increasingly feasible, data generation can be expensive for larger genomes. OPERA-LG is a scalable, exact algorithm for the scaffold assembly of large, repeat-rich genomes, out-performing state-of-the-art programs for scaffold correctness and contiguity. It provides a rigorous framework for scaffolding of repetitive sequences and a systematic approach for combining data from different second-generation and third-generation sequencing technologies. OPERA-LG provides an avenue for systematic augmentation and improvement of thousands of existing draft eukaryotic genome assemblies. © 2016 Gao et al.
dc.rightsAttribution 4.0 International
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.sourceUnpaywall 20201031
dc.subjecteukaryote
dc.subjectgenomics
dc.subjectmicrobial genome
dc.subjectanimal
dc.subjectcontig mapping
dc.subjectDNA sequence
dc.subjectgenome size
dc.subjectnucleotide repeat
dc.subjectprocedures
dc.subjectsoftware
dc.subjectAnimals
dc.subjectContig Mapping
dc.subjectGenome Size
dc.subjectRepetitive Sequences, Nucleic Acid
dc.subjectSequence Analysis, DNA
dc.subjectSoftware
dc.typeArticle
dc.contributor.departmentMEDICINE
dc.description.doi10.1186/s13059-016-0951-y
dc.description.sourcetitleGenome Biology
dc.description.volume17
dc.description.issue1
dc.description.page102
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