Evidence map›Paper›PMID 23744714›Full record

ArticleElectrophoresis2013

Error analysis of idealized nanopore sequencing.

Christopher R O'Donnell, Hongyun Wang, William B Dunbar

Open access · greenAbstract read
In one paragraph

Article in Electrophoresis, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
2.0field-weighted citation impact, top 15% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

19 citing papers in PubMed, 40 citations in OpenAlex.

  1. Article
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  8. Randomly primed, strand-switching, MinION-based sequencing for the detection and characterization of cultured RNA viruses.Journal of veterinary diagnostic investigation : official publication of the American Association of Veterinary Laboratory Diagnosticians, Inc · 2021
    Article
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  15. Review
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  18. Fundamental Bounds for Sequence Reconstruction from Nanopore Sequencers.IEEE transactions on molecular, biological, and multi-scale communications · 2016
    Article
  19. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors at 1 institution in 1 country.

Christopher R O'DonnellDepartment of Computer Engineering, Baskin School of Engineering, University of California, Santa Cruz, CA 95064, USA.
Hongyun Wang
William B Dunbar
University of California, Santa Cruz · US

Funding

A Dual-Nanopore Instrument for Single DNA Measurements and ControlR21HG006561 · NHGRI · UNIVERSITY OF CALIFORNIA SANTA CRUZ · PI DUNBAR, WILLIAM BRUCE · 2012 to 2013
$410k
NHGRI NIH HHS 1R21HG006561-01NHGRI NIH HHS R21 HG006561
6 · The paper itself

Abstract

This numerical study provides an error analysis of an idealized nanopore sequencing method in which ionic current measurements are used to sequence intact single-stranded DNA in the pore, while an enzyme controls DNA motion. Examples of systematic channel errors when more than one nucleotide affects the current amplitude are detailed, which if present will persist regardless of coverage. Absent such errors, random errors associated with tracking through homopolymer regions are shown to necessitate reading known sequences (Escherichia coli K-12) at least 140 times to achieve 99.99% accuracy (Q40). By exploiting the ability to reread each strand at each pore in an array, arbitrary positioning on an error rate versus throughput tradeoff curve is possible if systematic errors are absent, with throughput governed by the number of pores in the array and the enzyme turnover rate.

Indexed as

NanoporesAlgorithmsComputer SimulationDNA, Single-StrandedHumansModels, BiologicalReproducibility of ResultsSequence Analysis, DNASignal Processing, Computer-AssistedDNA, Single-StrandedDNA sequencingError ratesNanoporeNucleic acidsSingle-molecule sequencing

Identifiers

PMID23744714
PMCPMC3787829
OpenAlexW1486765897

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.