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Updated: Sep 13, 2025

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Ultra-long Read Sequencing for Whole Genomic DNA Analysis
Published on: March 15, 2019
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Interlaboratory evaluation of high molecular weight DNA extraction methods for long-read sequencing and structural
Alison S Devonshire1, Jordi Morata2,3, Claire Jubin4
1National Measurement Laboratory (hosted at LGC), The Priestley Centre, 10 Priestley Road, Guildford, Surrey, GU2 7XY, UK. alison.devonshire@lgcgroup.com.
BMC Genomics
|July 29, 2025
Summary
Four DNA extraction methods were evaluated for long-read sequencing. Fire Monkey, Nanobind, Puregene, and Genomic-tip showed varying performance in yield and read length, impacting structural variant analysis.
Area of Science:
- Genomics
- Molecular Biology
- Bioinformatics
Background:
- Long-read sequencing requires high molecular weight (HMW) DNA for optimal structural variant (SV) resolution and genome assembly.
- Existing DNA extraction methods need assessment for routine diagnostic use.
- Four common methods (Fire Monkey, Nanobind, Puregene, Genomic-tip) were compared using a reference cell line.
Purpose of the Study:
- To evaluate the performance of four DNA extraction methods for long-read sequencing.
- To assess the impact of extraction method on structural variant calling.
- To identify robust quality control (QC) metrics for HMW DNA.
Main Methods:
- Interlaboratory study comparing Fire Monkey, Nanobind, Puregene, and Genomic-tip DNA extraction methods.
- Assessment of DNA purity and integrity using standard assays and digital PCR (dPCR).
- Evaluation of library preparation, sequencing performance, and structural variant calling accuracy.
Main Results:
- All methods yielded acceptable DNA purity, but yields varied significantly.
- Fire Monkey achieved the highest N50 values; Genomic Tip had the highest sequencing yields; Nanobind produced the most ultra-long reads (>100 kb).
- dPCR predicted ultra-long reads, outperforming PFGE; coverage was crucial for SV calling, with megabase-scale SVs proving challenging.
Conclusions:
- HMW DNA extraction presents challenges, necessitating robust QC metrics for optimal sequencing and SV analysis.
- dPCR shows promise for DNA integrity assessment but requires further development.
- Cellular reference samples with well-characterized SVs are recommended for routine long-read sequencing workflows.

