The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Fast DNA Sequencing via Transverse Electronic Transport
Open accessAbstract
A rapid and low-cost method to sequence DNA would usher in a revolution in medicine. We propose and theoretically show the feasibility of a protocol for sequencing based on the distributions of transverse electrical currents of single-stranded DNA while it translocates through a nanopore. Our estimates, based on the statistics of these distributions, reveal that sequencing of an entire human genome could be done with very high accuracy in a matter of hours without parallelization, that is, orders of magnitude faster than present techniques. The practical implementation of our approach would represent a substantial advancement in our ability to study, predict, and cure diseases from the perspective of the genetic makeup of each individual.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
A vision for the future of genomics research
Collins, F. S., Green, E. D., Guttmacher, A. E., Guyer, M. S., & on behalf of the US National Human Genome Research Institute (2003) · Nature · doi:10.1038/nature01626 · Cited by 1,752
Cited by
Nanopore sensors for nucleic acid analysis
Venkatesan, B. M., & Bashir, R. (2011) · Nature Nanotechnology · doi:10.1038/nnano.2011.129 · Cited by 1,302
Identification of single nucleotides in MoS2 nanopores
Feng, J., Liu, K., Bulushev, R. D., Khlybov, S., Dumcenco, D., Kis, A., & Radenovic, A. (2015) · Nature Nanotechnology · doi:10.1038/nnano.2015.219 · Cited by 512
Colloquium: Physical approaches to DNA sequencing and detection
Zwolak, M., & Di Ventra, M. (2008) · Reviews of Modern Physics · doi:10.1103/revmodphys.80.141 · Cited by 457
Self-citationRapid Sequencing of Individual DNA Molecules in Graphene Nanogaps
Postma, H. W. C. (2010) · Nano Letters · doi:10.1021/nl9029237 · Cited by 375
Interface chemistry of two-dimensional heterostructures – fundamentals to applications
Gbadamasi, S., Mohiuddin, M., Krishnamurthi, V., Verma, R., Khan, M. W., Pathak, S., Kalantar-Zadeh, K., & Mahmood, N. (2021) · Chemical Society Reviews · doi:10.1039/d0cs01070g · Cited by 304
(2007) · Cited by 33
Metadata
- Authors
- Lagerqvist, J., Zwolak, M., & Di Ventra, M.
- Venue
- Nano Letters
- Publisher
- American Chemical Society (ACS)
- Published
- 2006-03-11
- Volume
- 6
- Issue
- 4
- Pages
- 779-782
- ISSN
- 1530-6984 (ISSN-L)
- 1530-6992
- OpenAlex
- W1990968510
- Cited by
- 404
- References
- 1
- FWCI
- 21.45
- Type
- journal article
- Language
- en
- Open access
- green
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
Data sources
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.
