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Continuous base identification for single-molecule nanopore DNA sequencing
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Citations
Cited by
Coming of age: ten years of next-generation sequencing technologies
Goodwin, S., McPherson, J. D., & McCombie, W. R. (2016) · Nature Reviews Genetics · doi:10.1038/nrg.2016.49 · Cited by 4,352
Haplotype-based variant detection from short-read sequencing
Garrison, E., & Marth, G. (2012) · arXiv · doi:10.48550/arxiv.1207.3907 · Cited by 3,700
Direct detection of DNA methylation during single-molecule, real-time sequencing
Flusberg, B. A., Webster, D. R., Lee, J. H., Travers, K. J., Olivares, E. C., Clark, T. A., Korlach, J., & Turner, S. W. (2010) · Nature Methods · doi:10.1038/nmeth.1459 · Cited by 1,460
The sequence of sequencers: The history of sequencing DNA
Heather, J. M., & Chain, B. (2016) · Genomics · doi:10.1016/j.ygeno.2015.11.003 · Cited by 1,397
“3b) [89,90], the latter of which is a small, mobile phone sized USB device, which was fi rst released to end users in an early access trial in 2014 [91].”
BackgroundNext-generation sequencing technologies: An overview
Hu, T., Chitnis, N., Monos, D., & Dinh, A. (2021) · Human Immunology · doi:10.1016/j.humimm.2021.02.012 · Cited by 949
Metadata
- Authors
- Clarke, J., Wu, H.-C., Jayasinghe, L., Patel, A., Reid, S., & Bayley, H.
- Venue
- Nature Nanotechnology
- Published
- 2009-02-22
- Volume
- 4
- Issue
- 4
- Pages
- 265-270
- ISSN
- 1748-3387 (ISSN-L)
- 1748-3395
- OpenAlex
- W2108058966
- Cited by
- 1,810
- References
- 0
- FWCI
- 78.42
- Type
- journal article
- Language
- en
- Open access
- green
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- CoChat. (2026). Citation check: Continuous base identification for single-molecule nanopore DNA sequencing. https://app.cochat.ai/papers/10.1038/nnano.2009.12
- The paper
- Clarke, J., Wu, H.-C., Jayasinghe, L., Patel, A., Reid, S., & Bayley, H. (2009). Continuous base identification for single-molecule nanopore DNA sequencing. Nature Nanotechnology. https://doi.org/10.1038/nnano.2009.12
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
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.
