Hybrid error correction and de novo assembly of single-molecule sequencing reads.
dc.contributor.author | Koren, Sergey | |
dc.contributor.author | Schatz, Michael C | |
dc.contributor.author | Walenz, Brian P | |
dc.contributor.author | Martin, Jeffrey | |
dc.contributor.author | Howard, Jason T | |
dc.contributor.author | Ganapathy, Ganeshkumar | |
dc.contributor.author | Wang, Zhong | |
dc.contributor.author | Rasko, David A | |
dc.contributor.author | McCombie, W Richard | |
dc.contributor.author | Jarvis, Erich D | |
dc.contributor.author | Adam M Phillippy | |
dc.coverage.spatial | United States | |
dc.date.accessioned | 2014-12-15T16:41:34Z | |
dc.date.issued | 2012-07-01 | |
dc.description.abstract | Single-molecule sequencing instruments can generate multikilobase sequences with the potential to greatly improve genome and transcriptome assembly. However, the error rates of single-molecule reads are high, which has limited their use thus far to resequencing bacteria. To address this limitation, we introduce a correction algorithm and assembly strategy that uses short, high-fidelity sequences to correct the error in single-molecule sequences. We demonstrate the utility of this approach on reads generated by a PacBio RS instrument from phage, prokaryotic and eukaryotic whole genomes, including the previously unsequenced genome of the parrot Melopsittacus undulatus, as well as for RNA-Seq reads of the corn (Zea mays) transcriptome. Our long-read correction achieves >99.9% base-call accuracy, leading to substantially better assemblies than current sequencing strategies: in the best example, the median contig size was quintupled relative to high-coverage, second-generation assemblies. Greater gains are predicted if read lengths continue to increase, including the prospect of single-contig bacterial chromosome assembly. | |
dc.identifier | ||
dc.identifier | nbt.2280 | |
dc.identifier.eissn | 1546-1696 | |
dc.identifier.uri | ||
dc.language | eng | |
dc.publisher | Springer Science and Business Media LLC | |
dc.relation.ispartof | Nat Biotechnol | |
dc.relation.isversionof | 10.1038/nbt.2280 | |
dc.subject | Algorithms | |
dc.subject | Bacteria | |
dc.subject | Bacteriophages | |
dc.subject | Computational Biology | |
dc.subject | RNA | |
dc.subject | Sequence Analysis, RNA | |
dc.subject | Transcriptome | |
dc.subject | Zea mays | |
dc.title | Hybrid error correction and de novo assembly of single-molecule sequencing reads. | |
dc.type | Journal article | |
pubs.author-url | ||
pubs.begin-page | 693 | |
pubs.end-page | 700 | |
pubs.issue | 7 | |
pubs.organisational-group | Basic Science Departments | |
pubs.organisational-group | Duke | |
pubs.organisational-group | Duke Institute for Brain Sciences | |
pubs.organisational-group | Institutes and Provost's Academic Units | |
pubs.organisational-group | Neurobiology | |
pubs.organisational-group | School of Medicine | |
pubs.organisational-group | University Institutes and Centers | |
pubs.publication-status | Published online | |
pubs.volume | 30 |
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