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Oxford Nanopore sequencing, hybrid error correction, and de novo assembly of a eukaryotic genome
- Source :
- Genome research. 25(11)
- Publication Year :
- 2015
-
Abstract
- Monitoring the progress of DNA molecules through a membrane pore has been postulated as a method for sequencing DNA for several decades. Recently, a nanopore-based sequencing instrument, the Oxford Nanopore MinION, has become available, and we used this for sequencing the Saccharomyces cerevisiae genome. To make use of these data, we developed a novel open-source hybrid error correction algorithm Nanocorr specifically for Oxford Nanopore reads, because existing packages were incapable of assembling the long read lengths (5–50 kbp) at such high error rates (between ∼5% and 40% error). With this new method, we were able to perform a hybrid error correction of the nanopore reads using complementary MiSeq data and produce a de novo assembly that is highly contiguous and accurate: The contig N50 length is more than ten times greater than an Illumina-only assembly (678 kb versus 59.9 kbp) and has >99.88% consensus identity when compared to the reference. Furthermore, the assembly with the long nanopore reads presents a much more complete representation of the features of the genome and correctly assembles gene cassettes, rRNAs, transposable elements, and other genomic features that were almost entirely absent in the Illumina-only assembly.
- Subjects :
- Transposable element
Computer science
Sequence assembly
Method
Hybrid genome assembly
Computational biology
Saccharomyces cerevisiae
Biology
Genome
DNA sequencing
chemistry.chemical_compound
03 medical and health sciences
Nanopores
0302 clinical medicine
Eukaryotic genome
Genetics
Escherichia coli
DNA, Fungal
Gene
Genetics (clinical)
Paired-end tag
030304 developmental biology
0303 health sciences
Contig
Shotgun sequencing
Genomics
Sequence Analysis, DNA
Nanopore
DNA sequencer
chemistry
Minion
DNA Transposable Elements
Nanopore sequencing
Sequence Alignment
DNA
030217 neurology & neurosurgery
Subjects
Details
- ISSN :
- 15495469
- Volume :
- 25
- Issue :
- 11
- Database :
- OpenAIRE
- Journal :
- Genome research
- Accession number :
- edsair.doi.dedup.....6f33521fc67e80e004b4e7f2058b333d