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Cited by 1,338

The DOI matches its Crossref record; 38 of the 38 references it cites were found in a registry or an index.

High-Throughput Sequencing Technologies

Open access
Reuter, Jason A., Spacek, Damek V., Snyder, Michael P.·2015·Molecular Cell

Abstract

Summary The human genome sequence has profoundly altered our understanding of biology, human diversity and disease. The path from the first draft sequence to our nascent era of personal genomes and genomic medicine has been made possible only because of the extraordinary advancements in DNA sequencing technologies over the past ten years. Here, we discuss commonly used high-throughput sequencing platforms, the growing array of sequencing assays developed around them as well as the challenges facing current sequencing platforms and their clinical application.

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Crossref · 10.1016/j.molcel.2015.05.004

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Metadata

Authors
Reuter, J. A., Spacek, D. V., & Snyder, M. P.
Venue
Molecular Cell
Publisher
Elsevier BV
Published
2015-05
Volume
58
Issue
4
Pages
586-597
ISSN
1097-2765 (ISSN-L)
OpenAlex
W1577822803
Cited by
1,338
References
38
FWCI
34.22
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: High-Throughput Sequencing Technologies. https://app.cochat.ai/papers/10.1016/j.molcel.2015.05.004
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Reuter, J. A., Spacek, D. V., & Snyder, M. P. (2015). High-Throughput Sequencing Technologies. Molecular Cell. https://doi.org/10.1016/j.molcel.2015.05.004

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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.