Improving draft genome contiguity with reference-derived in silico mate-pair libraries. Issue 5 (21st April 2018)
- Record Type:
- Journal Article
- Title:
- Improving draft genome contiguity with reference-derived in silico mate-pair libraries. Issue 5 (21st April 2018)
- Main Title:
- Improving draft genome contiguity with reference-derived in silico mate-pair libraries
- Authors:
- Grau, José Horacio
Hackl, Thomas
Koepfli, Klaus-Peter
Hofreiter, Michael - Abstract:
- Abstract: Background: Contiguous genome assemblies are a highly valued biological resource because of the higher number of completely annotated genes and genomic elements that are usable compared to fragmented draft genomes. Nonetheless, contiguity is difficult to obtain if only low coverage data and/or only distantly related reference genome assemblies are available. Findings: In order to improve genome contiguity, we have developed Cross-Species Scaffolding—a new pipeline that imports long-range distance information directly into the de novo assembly process by constructing mate-pair libraries in silico . Conclusions: We show how genome assembly metrics and gene prediction dramatically improve with our pipeline by assembling two primate genomes solely based on ∼30x coverage of shotgun sequencing data.
- Is Part Of:
- GigaScience. Volume 7:Issue 5(2018)
- Journal:
- GigaScience
- Issue:
- Volume 7:Issue 5(2018)
- Issue Display:
- Volume 7, Issue 5 (2018)
- Year:
- 2018
- Volume:
- 7
- Issue:
- 5
- Issue Sort Value:
- 2018-0007-0005-0000
- Page Start:
- Page End:
- Publication Date:
- 2018-04-21
- Subjects:
- genome assembly -- mate-pairs -- in silico -- scaffolding -- shotgun sequencing
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570.285 - Journal URLs:
- http://www.gigasciencejournal.com/ ↗
http://www.oxfordjournals.org/ ↗ - DOI:
- 10.1093/gigascience/giy029 ↗
- Languages:
- English
- ISSNs:
- 2047-217X
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 12361.xml