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Cited by 1,136

The DOI matches its Crossref record; 10 of the 10 references it cites were found in a registry or an index.

Detecting DNA cytosine methylation using nanopore sequencing

Open access
Simpson, Jared T, Workman, Rachael E, Zuzarte, P C, David, Matei, Dursi, L J, Timp, Winston·2017·Nature Methods

Abstract

In nanopore sequencing devices, electrolytic current signals are sensitive to base modifications, such as 5-methylcytosine (5-mC). Here we quantified the strength of this effect for the Oxford Nanopore Technologies MinION sequencer. By using synthetically methylated DNA, we were able to train a hidden Markov model to distinguish 5-mC from unmethylated cytosine. We applied our method to sequence the methylome of human DNA, without requiring special steps for library preparation.

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Crossref · 10.1038/nmeth.4184

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Metadata

Authors
Simpson, J. T., Workman, R. E., Zuzarte, P. C., David, M., Dursi, L. J., & Timp, W.
Venue
Nature Methods
Published
2017-02-20
Volume
14
Issue
4
Pages
407-410
ISSN
  • 1548-7091 (ISSN-L)
  • 1548-7105
OpenAlex
W2591367881
Cited by
1,136
References
10
FWCI
36.66
Type
journal article
Language
en
Open access
green

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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.