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Cited by 313

The DOI matches its Crossref record; 8 of the 8 references it cites were found in a registry or an index.

Nanopore sequencing: Review of potential applications in functional genomics

Kono, Nobuaki, Arakawa, Kazuharu·2019·Development, Growth & Differentiation

Abstract

Molecular biology has been led by various measurement technologies, and increased throughput has developed omics analysis. The development of massively parallel sequencing technology has enabled access to fundamental molecular data and revealed genomic and transcriptomic signatures. Nanopore sequencers have driven such evolution to the next stage. Oxford Nanopore Technologies Inc. provides a new type of single molecule sequencer using protein nanopore that realizes direct sequencing without DNA synthesizing or amplification. This nanopore sequencer can sequence an ultra‐long read limited by the input nucleotide length, or can determine DNA/RNA modifications. Recently, many fields such as medicine, epidemiology, ecology, and education have benefited from this technology. In this review, we explain the features and functions of the nanopore sequencer, introduce various situations where it has been used as a critical technology, and expected future applications.

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Metadata

Authors
Kono, N., & Arakawa, K.
Venue
Development, Growth & Differentiation
Publisher
Wiley
Published
2019-04-29
Volume
61
Issue
5
Pages
316-326
ISSN
  • 0012-1592 (ISSN-L)
  • 1440-169X
OpenAlex
W2942826041
Cited by
313
References
8
FWCI
16.17
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Nanopore sequencing: Review of potential applications in functional genomics. https://app.cochat.ai/papers/10.1111/dgd.12608
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Kono, N., & Arakawa, K. (2019). Nanopore sequencing: Review of potential applications in functional genomics. Development, Growth & Differentiation. https://doi.org/10.1111/dgd.12608

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.