Structural variation
Getting started guides
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A guide to targeted sequencing with Oxford Nanopore
This guide provides an introduction to performing targeted nanopore sequencing.
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A guide to human genomics with Oxford Nanopore
This guide introduces how to sequence human genomes with Oxford Nanopore, from the construction of new, highly complete reference assemblies to the comprehensive identification of variants.
Workflow overviews
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Characterising genomic and epigenomic variation between tumour-normal research samples using long nanopore sequencing reads
This end-to-end workflow overview provides a simple solution for detecting a wide range of tumour-specific variation in a single sequencing assay.
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Rapid identification of pathogenic variants and methylation with whole-genome Oxford Nanopore sequencing
This end-to-end workflow introduces how to perform rapid whole-genome human variant and methylation calling from a blood research sample using high-output DNA sequencing on PromethION 24.
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Accelerating clinical research with Oxford Nanopore large cohort sequencing
This end-to-end workflow provides a scalable solution for genome-wide analysis of genomic and epigenomic variants across a large cohort of human research samples with Oxford Nanopore sequencing.
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Comprehensive human genomic variant and methylation analysis with long Oxford Nanopore reads
This end-to-end workflow provides a scalable method to identify previously hidden and potentially pathogenic variants.
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Assessing variants across the human genome with interaction-free sequencing on PromethION
Ideal for those who are new to Oxford Nanopore sequencing or wish to minimise hands-on time, this end-to-end method generates human sequencing data with a read length N50 of ~10 kb.
Most viewed
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Accelerate your epigenetics research with Oxford Nanopore sequencing
In this flyer, find out how Oxford Nanopore sequencing uncovers the complete methylome and provides highly accurate and comprehensive base modification data for analysis.
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Hereditary Cancer Panel: targeted sequencing via adaptive sampling
In this flyer, discover how to utilise the Oxford Nanopore Hereditary Cancer Panel to investigate 258 key genes associated with hereditary cancer risk.
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EPI2ME: data analysis for all levels of expertise
Discover EPI2ME and how it provides data analysis for all levels of expertise
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Comprehensive genomic and epigenomic profiling with the Oxford Nanopore Hereditary Cancer Panel
In this application note, we present the design and performance of the Oxford Nanopore Hereditary Cancer Panel targeting 258 key genes implicated in cancer predisposition.
Featured resources
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Large-cohort cDNA sequencing advances multiomic insights into neurodegenerative disease
In this case study, discover how Kimberley Billingsley and her colleagues at the National Institutes of Health are using Oxford Nanopore large-cohort cDNA sequencing to research the human brain transcriptome, enhancing understanding of the drivers of neurodegenerative diseases.
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From full-length 16S to high-resolution metagenomics: how do I choose the right microbial community workflow for my experiment?
In this masterclass, find the right microbial community sequencing workflow to meet your experimental goals. We’ll cover microbial identification from full-length 16S/ITS sequencing through to comprehensive metagenomic assembly. In this masterclass, discover: • How Oxford Nanopore sequencing deliver
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From speed to scale: how do I choose the right human whole-genome sequencing workflow for my experiment?
In this masterclass, find the right human whole-genome sequencing workflow to meet your experimental goals. We’ll cover whole-genome analysis in just 24 hours through to scaling sequencing for large cohort research. In this masterclass, discover: • How Oxford Nanopore sequencing is advancing human g
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How do I analyse my Oxford Nanopore sequencing data without specialist training?
In this beginner-friendly masterclass, discover how to analyse your Oxford Nanopore sequencing data. Find out how basecalling works, the common file formats you’ll encounter, and how to use MinKNOW to set up and monitor your sequencing run. Then, discover how to analyse your data with EPI2ME — no pr
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Which library prep workflow is right for my experiment?
Whether you’re sequencing DNA, RNA, or cDNA, a single sample or many in multiplex, there’s an Oxford Nanopore library prep kit for you. In this masterclass, discover how to choose the right one for your workflow. In this masterclass, discover: • The range of Oxford Nanopore library prep solutions av
Protocols
Ligation sequencing DNA V14 (SQK-LSK114) [ライゲーションシークエンシングDNA V14 (SQK-LSK114) ]
- このプロトコールではゲノムDNAを使用します。
- 調製時間は約６０分です。
- フラグメンテーションは任意としています。
- PCR無し
- R10.4.1フローセルとの互換性
研究用のみ
この翻訳は英語バージョン「X」をもとに翻訳されています。 新しいバージョンが出ている可能性があるので、この翻訳を使用する前にコミュニティーで今の英語のバージョンをご確認ください。
Analysis workflows
Latest research
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Identification of a novel intergenic EPCAM-MSH2 deletion causing EPCAM-associated Lynch syndrome by long-read nanopore sequencing
Publication: Identification of a novel intergenic EPCAM-MSH2 deletion causing EPCAM-associated Lynch syndrome by long-read nanopore sequencing
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Digital panels enable targeted enrichment of haematological cancer-associated genomic regions during sequencing
Discover how nanopore sequencing with Adaptive Sampling can target cancer-associated genes from blood-derived and bone marrow-derived DNA.
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Oxford Nanopore Adaptive Sampling for tumour-only SNV, SV, and CNV profiling in one assay
Discover how nanopore sequencing with Adaptive Sampling reveals tumour-only SNVs, SVs, and CNVs in one assay.
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Genome sequencing boosts diagnostic yield for the developmental and epileptic encephalopathies
Publication: Genome sequencing boosts diagnostic yield for the developmental and epileptic encephalopathies
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Advancing carrier screening and diagnostic applications research with long-read sequencing
Watch on demand to explore how the AmplideX® Nanopore Carrier Plus Kit, formed by combination of the Asuragen Carrier Screening kit and Oxford Nanopore long-read sequencing, supports comprehensive carrier screening in a streamlined workflow.
