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Article: LRSim: A Linked-Reads Simulator Generating Insights for Better Genome Partitioning

TitleLRSim: A Linked-Reads Simulator Generating Insights for Better Genome Partitioning
Authors
KeywordsMolecular barcoding
10X Genomics
Reads simulation
Reads partitioning
Genome assembly
Linked-read
Phasing
Issue Date2017
Citation
Computational and Structural Biotechnology Journal, 2017, v. 15, p. 478-484 How to Cite?
Abstract© 2017 The Authors Linked-read sequencing, using highly-multiplexed genome partitioning and barcoding, can span hundreds of kilobases to improve de novo a ssembly, haplotype phasing, and other applications. Based on our analysis of 14 datasets, we introduce LRSim that simulates linked-reads by emulating the library preparation and sequencing process with fine control over variants, linked-read characteristics, and the short-read profile. We conclude from the phasing and assembly of multiple datasets, recommendations on coverage, fragment length, and partitioning when sequencing genomes of different sizes and complexities. These optimizations improve results by orders of magnitude, and enable the development of novel methods. LRSim is available at https://github.com/aquaskyline/LRSIM.
Persistent Identifierhttp://hdl.handle.net/10722/250889
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorLuo, Ruibang-
dc.contributor.authorSedlazeck, Fritz J.-
dc.contributor.authorDarby, Charlotte A.-
dc.contributor.authorKelly, Stephen M.-
dc.contributor.authorSchatz, Michael C.-
dc.date.accessioned2018-02-01T01:54:00Z-
dc.date.available2018-02-01T01:54:00Z-
dc.date.issued2017-
dc.identifier.citationComputational and Structural Biotechnology Journal, 2017, v. 15, p. 478-484-
dc.identifier.urihttp://hdl.handle.net/10722/250889-
dc.description.abstract© 2017 The Authors Linked-read sequencing, using highly-multiplexed genome partitioning and barcoding, can span hundreds of kilobases to improve de novo a ssembly, haplotype phasing, and other applications. Based on our analysis of 14 datasets, we introduce LRSim that simulates linked-reads by emulating the library preparation and sequencing process with fine control over variants, linked-read characteristics, and the short-read profile. We conclude from the phasing and assembly of multiple datasets, recommendations on coverage, fragment length, and partitioning when sequencing genomes of different sizes and complexities. These optimizations improve results by orders of magnitude, and enable the development of novel methods. LRSim is available at https://github.com/aquaskyline/LRSIM.-
dc.languageeng-
dc.relation.ispartofComputational and Structural Biotechnology Journal-
dc.rightsThis work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.-
dc.subjectMolecular barcoding-
dc.subject10X Genomics-
dc.subjectReads simulation-
dc.subjectReads partitioning-
dc.subjectGenome assembly-
dc.subjectLinked-read-
dc.subjectPhasing-
dc.titleLRSim: A Linked-Reads Simulator Generating Insights for Better Genome Partitioning-
dc.typeArticle-
dc.description.naturepublished_or_final_version-
dc.identifier.doi10.1016/j.csbj.2017.10.002-
dc.identifier.scopuseid_2-s2.0-85034987190-
dc.identifier.hkuros310906-
dc.identifier.volume15-
dc.identifier.spage478-
dc.identifier.epage484-
dc.identifier.eissn2001-0370-
dc.identifier.isiWOS:000425900600038-
dc.identifier.issnl2001-0370-

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