OPERA-LG: efficient and exact scaffolding of large, repeat-rich eukaryotic genomes with performance guarantees. Issue 1 (December 2016)
- Record Type:
- Journal Article
- Title:
- OPERA-LG: efficient and exact scaffolding of large, repeat-rich eukaryotic genomes with performance guarantees. Issue 1 (December 2016)
- Main Title:
- OPERA-LG: efficient and exact scaffolding of large, repeat-rich eukaryotic genomes with performance guarantees
- Authors:
- Gao, Song
Bertrand, Denis
Chia, Burton
Nagarajan, Niranjan - Abstract:
- Abstract The 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.
- Is Part Of:
- Genome biology. Volume 17:Issue 1(2016)
- Journal:
- Genome biology
- Issue:
- Volume 17:Issue 1(2016)
- Issue Display:
- Volume 17, Issue 1 (2016)
- Year:
- 2016
- Volume:
- 17
- Issue:
- 1
- Issue Sort Value:
- 2016-0017-0001-0000
- Page Start:
- 1
- Page End:
- 16
- Publication Date:
- 2016-12
- Subjects:
- Genomes -- Periodicals
Biology -- Periodicals
Molecular biology -- Periodicals
572.8633 - Journal URLs:
- http://www.genomebiology.com ↗
http://link.springer.com/ ↗ - DOI:
- 10.1186/s13059-016-0951-y ↗
- Languages:
- English
- ISSNs:
- 1474-760X
- 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:
- 9822.xml