Comprehensive evaluation of non-hybrid genome assembly tools for third-generation PacBio long-read sequence data. (3rd November 2017)
- Record Type:
- Journal Article
- Title:
- Comprehensive evaluation of non-hybrid genome assembly tools for third-generation PacBio long-read sequence data. (3rd November 2017)
- Main Title:
- Comprehensive evaluation of non-hybrid genome assembly tools for third-generation PacBio long-read sequence data
- Authors:
- Jayakumar, Vasanthan
Sakakibara, Yasubumi - Abstract:
- Abstract: Long reads obtained from third-generation sequencing platforms can help overcome the long-standing challenge of the de novo assembly of sequences for the genomic analysis of non-model eukaryotic organisms. Numerous long-read-aided de novo assemblies have been published recently, which exhibited superior quality of the assembled genomes in comparison with those achieved using earlier second-generation sequencing technologies. Evaluating assemblies is important in guiding the appropriate choice for specific research needs. In this study, we evaluated 10 long-read assemblers using a variety of metrics on Pacific Biosciences (PacBio) data sets from different taxonomic categories with considerable differences in genome size. The results allowed us to narrow down the list to a few assemblers that can be effectively applied to eukaryotic assembly projects. Moreover, we highlight how best to use limited genomic resources for effectively evaluating the genome assemblies of non-model organisms.
- Is Part Of:
- Briefings in bioinformatics. Volume 20:Number 3(2019)
- Journal:
- Briefings in bioinformatics
- Issue:
- Volume 20:Number 3(2019)
- Issue Display:
- Volume 20, Issue 3 (2019)
- Year:
- 2019
- Volume:
- 20
- Issue:
- 3
- Issue Sort Value:
- 2019-0020-0003-0000
- Page Start:
- 866
- Page End:
- 876
- Publication Date:
- 2017-11-03
- Subjects:
- de novo assembly -- third-generation sequencing -- single-molecule sequencing -- PacBio SMRT -- assembly evaluation
Genetics -- Data processing -- Periodicals
Molecular biology -- Data processing -- Periodicals
Genomes -- Data processing -- Periodicals
572.80285 - Journal URLs:
- http://bib.oxfordjournals.org ↗
http://www.oxfordjournals.org/content?genre=journal&issn=1477-4054 ↗
http://ukcatalogue.oup.com/ ↗
http://firstsearch.oclc.org ↗ - DOI:
- 10.1093/bib/bbx147 ↗
- Languages:
- English
- ISSNs:
- 1467-5463
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 2283.958363
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 11984.xml