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- Publisher Website: 10.1016/j.csbj.2017.10.002
- Scopus: eid_2-s2.0-85034987190
- WOS: WOS:000425900600038
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Article: LRSim: A Linked-Reads Simulator Generating Insights for Better Genome Partitioning
Title | LRSim: A Linked-Reads Simulator Generating Insights for Better Genome Partitioning |
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Authors | |
Keywords | Molecular barcoding 10X Genomics Reads simulation Reads partitioning Genome assembly Linked-read Phasing |
Issue Date | 2017 |
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 Identifier | http://hdl.handle.net/10722/250889 |
ISI Accession Number ID |
DC Field | Value | Language |
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dc.contributor.author | Luo, Ruibang | - |
dc.contributor.author | Sedlazeck, Fritz J. | - |
dc.contributor.author | Darby, Charlotte A. | - |
dc.contributor.author | Kelly, Stephen M. | - |
dc.contributor.author | Schatz, Michael C. | - |
dc.date.accessioned | 2018-02-01T01:54:00Z | - |
dc.date.available | 2018-02-01T01:54:00Z | - |
dc.date.issued | 2017 | - |
dc.identifier.citation | Computational and Structural Biotechnology Journal, 2017, v. 15, p. 478-484 | - |
dc.identifier.uri | http://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.language | eng | - |
dc.relation.ispartof | Computational and Structural Biotechnology Journal | - |
dc.rights | This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License. | - |
dc.subject | Molecular barcoding | - |
dc.subject | 10X Genomics | - |
dc.subject | Reads simulation | - |
dc.subject | Reads partitioning | - |
dc.subject | Genome assembly | - |
dc.subject | Linked-read | - |
dc.subject | Phasing | - |
dc.title | LRSim: A Linked-Reads Simulator Generating Insights for Better Genome Partitioning | - |
dc.type | Article | - |
dc.description.nature | published_or_final_version | - |
dc.identifier.doi | 10.1016/j.csbj.2017.10.002 | - |
dc.identifier.scopus | eid_2-s2.0-85034987190 | - |
dc.identifier.hkuros | 310906 | - |
dc.identifier.volume | 15 | - |
dc.identifier.spage | 478 | - |
dc.identifier.epage | 484 | - |
dc.identifier.eissn | 2001-0370 | - |
dc.identifier.isi | WOS:000425900600038 | - |
dc.identifier.issnl | 2001-0370 | - |