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Cited by 363

The DOI matches its Crossref record; 50 of the 50 references it cites were found in a registry or an index.

Long reads: their purpose and place

Open access
Pollard, Martin O, Gurdasani, Deepti, Mentzer, Alexander J, Porter, Tarryn, Sandhu, Manjinder S·2018·Human Molecular Genetics

Abstract

In recent years long-read technologies have moved from being a niche and specialist field to a point of relative maturity likely to feature frequently in the genomic landscape. Analogous to next generation sequencing, the cost of sequencing using long-read technologies has materially dropped whilst the instrument throughput continues to increase. Together these changes present the prospect of sequencing large numbers of individuals with the aim of fully characterizing genomes at high resolution. In this article, we will endeavour to present an introduction to long-read technologies showing: what long reads are; how they are distinct from short reads; why long reads are useful and how they are being used. We will highlight the recent developments in this field, and the applications and potential of these technologies in medical research, and clinical diagnostics and therapeutics.

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Metadata

Authors
Pollard, M. O., Gurdasani, D., Mentzer, A. J., Porter, T., & Sandhu, M. S.
Venue
Human Molecular Genetics
Published
2018-05-14
Volume
27
Issue
R2
Pages
R234-R241
ISSN
  • 0964-6906 (ISSN-L)
  • 1460-2083
OpenAlex
W2807773783
Cited by
363
References
50
FWCI
12.79
Type
journal article
Language
en
Open access
hybrid

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CoChat. (2026). Citation check: Long reads: their purpose and place. https://app.cochat.ai/papers/10.1093/hmg/ddy177
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Pollard, M. O., Gurdasani, D., Mentzer, A. J., Porter, T., & Sandhu, M. S. (2018). Long reads: their purpose and place. Human Molecular Genetics. https://doi.org/10.1093/hmg/ddy177

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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.