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Duet: SNP-assisted structural variant calling and phasing using Oxford nanopore sequencing
by
Zhou, Yekai
, Luo, Ruibang
, Leung, Amy Wing-Sze
, Ahmed, Syed Shakeel
, Lam, Tak-Wah
in
Accuracy
/ Algorithms
/ Analysis
/ Bioinformatics
/ Biomedical and Life Sciences
/ Computational biology
/ Computational Biology/Bioinformatics
/ Computer Appl. in Life Sciences
/ DNA sequencing
/ Gene polymorphism
/ Gene sequencing
/ Genomes
/ Genotype & phenotype
/ Genotyping
/ Haplotypes
/ High-Throughput Nucleotide Sequencing
/ Life Sciences
/ Methods
/ Microarrays
/ Nanopore Sequencing
/ Nucleotide sequencing
/ Nucleotides
/ Oxford Nanopore Sequencing
/ Polymorphism
/ Polymorphism, Single Nucleotide
/ Quality control
/ Sequence Analysis, DNA
/ Signatures
/ Single nucleotide polymorphisms
/ Single-nucleotide polymorphism
/ SNP calling
/ Software
/ Structural variant (SV) calling
/ SV genotyping
/ SV phasing
/ Therapeutic applications
/ Whole Genome Sequencing
2022
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Duet: SNP-assisted structural variant calling and phasing using Oxford nanopore sequencing
by
Zhou, Yekai
, Luo, Ruibang
, Leung, Amy Wing-Sze
, Ahmed, Syed Shakeel
, Lam, Tak-Wah
in
Accuracy
/ Algorithms
/ Analysis
/ Bioinformatics
/ Biomedical and Life Sciences
/ Computational biology
/ Computational Biology/Bioinformatics
/ Computer Appl. in Life Sciences
/ DNA sequencing
/ Gene polymorphism
/ Gene sequencing
/ Genomes
/ Genotype & phenotype
/ Genotyping
/ Haplotypes
/ High-Throughput Nucleotide Sequencing
/ Life Sciences
/ Methods
/ Microarrays
/ Nanopore Sequencing
/ Nucleotide sequencing
/ Nucleotides
/ Oxford Nanopore Sequencing
/ Polymorphism
/ Polymorphism, Single Nucleotide
/ Quality control
/ Sequence Analysis, DNA
/ Signatures
/ Single nucleotide polymorphisms
/ Single-nucleotide polymorphism
/ SNP calling
/ Software
/ Structural variant (SV) calling
/ SV genotyping
/ SV phasing
/ Therapeutic applications
/ Whole Genome Sequencing
2022
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Duet: SNP-assisted structural variant calling and phasing using Oxford nanopore sequencing
by
Zhou, Yekai
, Luo, Ruibang
, Leung, Amy Wing-Sze
, Ahmed, Syed Shakeel
, Lam, Tak-Wah
in
Accuracy
/ Algorithms
/ Analysis
/ Bioinformatics
/ Biomedical and Life Sciences
/ Computational biology
/ Computational Biology/Bioinformatics
/ Computer Appl. in Life Sciences
/ DNA sequencing
/ Gene polymorphism
/ Gene sequencing
/ Genomes
/ Genotype & phenotype
/ Genotyping
/ Haplotypes
/ High-Throughput Nucleotide Sequencing
/ Life Sciences
/ Methods
/ Microarrays
/ Nanopore Sequencing
/ Nucleotide sequencing
/ Nucleotides
/ Oxford Nanopore Sequencing
/ Polymorphism
/ Polymorphism, Single Nucleotide
/ Quality control
/ Sequence Analysis, DNA
/ Signatures
/ Single nucleotide polymorphisms
/ Single-nucleotide polymorphism
/ SNP calling
/ Software
/ Structural variant (SV) calling
/ SV genotyping
/ SV phasing
/ Therapeutic applications
/ Whole Genome Sequencing
2022
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Duet: SNP-assisted structural variant calling and phasing using Oxford nanopore sequencing
Journal Article
Duet: SNP-assisted structural variant calling and phasing using Oxford nanopore sequencing
2022
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Overview
Background
Whole genome sequencing using the long-read Oxford Nanopore Technologies (ONT) MinION sequencer provides a cost-effective option for structural variant (SV) detection in clinical applications. Despite the advantage of using long reads, however, accurate SV calling and phasing are still challenging.
Results
We introduce Duet, an SV detection tool optimized for SV calling and phasing using ONT data. The tool uses novel features integrated from both SV signatures and single-nucleotide polymorphism signatures, which can accurately distinguish SV haplotype from a false signal. Duet was benchmarked against state-of-the-art tools on multiple ONT sequencing datasets of sequencing coverage ranging from 8× to 40×. At low sequencing coverage of 8×, Duet performs better than all other tools in SV calling, SV genotyping and SV phasing. When the sequencing coverage is higher (20× to 40×), the F1-score for SV phasing is further improved in comparison to the performance of other tools, while its performance of SV genotyping and SV calling remains higher than other tools.
Conclusion
Duet can perform accurate SV calling, SV genotyping and SV phasing using low-coverage ONT data, making it very useful for low-coverage genomes. It has great performance when scaled to high-coverage genomes, which is adaptable to various clinical applications. Duet is open source and is available at
https://github.com/yekaizhou/duet
.
Publisher
BioMed Central,BioMed Central Ltd,Springer Nature B.V,BMC
Subject
/ Analysis
/ Biomedical and Life Sciences
/ Computational Biology/Bioinformatics
/ Computer Appl. in Life Sciences
/ Genomes
/ High-Throughput Nucleotide Sequencing
/ Methods
/ Polymorphism, Single Nucleotide
/ Single nucleotide polymorphisms
/ Single-nucleotide polymorphism
/ Software
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