Evidence map›Paper›PMID 36351772›Full record

ArticleGenome research

Sequencing Illumina libraries at high accuracy on the ONT MinION using R2C2.

Alexander Zee, Dori Z Q Deng, Matthew Adams, Kayla D Schimke, Russell Corbett-Detig, Shelbi L Russell, Xuan Zhang, Robert J Schmitz, Christopher Vollmers

Open access · bronzeAbstract read
In one paragraph

Article in Genome research. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
–field-weighted citation impact
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

13 citing papers in PubMed, 25 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Laboratory and In-Field Metagenomics for Environmental Monitoring.Methods in molecular biology (Clifton, N.J.) · 2025
    Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Review
  12. Exploring Anticancer Potential ofBiologics : targets & therapy · 2024
    Article
  13. Review
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

9 authors at 2 institutions in 1 country.

Alexander Zee *Department of Biomolecular Engineering, University of California Santa Cruz, Santa Cruz, California 95064, USA.
Dori Z Q Deng *Department of Molecular, Cellular, and Developmental Biology, University of California Santa Cruz, Santa Cruz, California 95064, USA.
Matthew Adams *Department of Molecular, Cellular, and Developmental Biology, University of California Santa Cruz, Santa Cruz, California 95064, USA.
Kayla D Schimke *Department of Biomolecular Engineering, University of California Santa Cruz, Santa Cruz, California 95064, USA.
Russell Corbett-DetigDepartment of Biomolecular Engineering, University of California Santa Cruz, Santa Cruz, California 95064, USA.
Shelbi L RussellDepartment of Molecular, Cellular, and Developmental Biology, University of California Santa Cruz, Santa Cruz, California 95064, USA.
Xuan ZhangDepartment of Genetics, University of Georgia, Athens, Georgia 30602, USA.
Robert J SchmitzDepartment of Genetics, University of Georgia, Athens, Georgia 30602, USA.
Christopher VollmersDepartment of Biomolecular Engineering, University of California Santa Cruz, Santa Cruz, California 95064, USA.
University of California, Santa Cruz · USUniversity of Georgia · US

Funding

Realizing the potential of long-read sequencing technologyR35GM133569 · NIGMS · UNIVERSITY OF CALIFORNIA SANTA CRUZ · PI Christopher Vollmers · 2019 to 2026
$3.4M
Origins, Functional, and Evolutionary Consequences of Genomic VariationR35GM128932 · NIGMS · UNIVERSITY OF CALIFORNIA SANTA CRUZ · PI Russell Corbett-Detig · 2018 to 2026
$3.2M
Cellular mechanisms of endosymbiont transmission between host generationsR00GM135583 · NIGMS · UNIVERSITY OF CALIFORNIA SANTA CRUZ · PI RUSSELL, SHELBI LIANNE · 2022 to 2024
$747k
Cellular mechanisms of endosymbiont transmission between host generationsK99GM135583 · NIGMS · UNIVERSITY OF CALIFORNIA SANTA CRUZ · PI RUSSELL, SHELBI LIANNE · 2020 to 2021
$172k
NIGMS NIH HHS K99 GM135583NIGMS NIH HHS R00 GM135583NIGMS NIH HHS R35 GM128932NIGMS NIH HHS R35 GM133569
6 · The paper itself

Abstract

High-throughput short-read sequencing has taken on a central role in research and diagnostics. Hundreds of different assays take advantage of Illumina short-read sequencers, the predominant short-read sequencing technology available today. Although other short-read sequencing technologies exist, the ubiquity of Illumina sequencers in sequencing core facilities and the high capital costs of these technologies have limited their adoption. Among a new generation of sequencing technologies, Oxford Nanopore Technologies (ONT) holds a unique position because the ONT MinION, an error-prone long-read sequencer, is associated with little to no capital cost. Here we show that we can make short-read Illumina libraries compatible with the ONT MinION by using the rolling circle to concatemeric consensus (R2C2) method to circularize and amplify the short library molecules. This results in longer DNA molecules containing tandem repeats of the original short library molecules. This longer DNA is ideally suited for the ONT MinION, and after sequencing, the tandem repeats in the resulting raw reads can be converted into high-accuracy consensus reads with similar error rates to that of the Illumina MiSeq. We highlight this capability by producing and benchmarking RNA-seq, ChIP-seq, and regular and target-enriched Tn5 libraries. We also explore the use of this approach for rapid evaluation of sequencing library metrics by implementing a real-time analysis workflow.

Indexed as

NanoporesChromatin Immunoprecipitation SequencingGene LibraryHigh-Throughput Nucleotide SequencingSequence Analysis, DNA

Identifiers

PMID36351772
PMCPMC9808628
OpenAlexW4308654983

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.