Evidence map›Paper›PMID 37161088›Full record

ReviewNature reviews. Genetics2023

Beyond assembly: the increasing flexibility of single-molecule sequencing technology.

Paul W Hook, Winston Timp

Open access · bronzeAbstract readReview
In one paragraph

Review in Nature reviews. Genetics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed
9.5field-weighted citation impact, top 1% 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

35 citing papers in PubMed, 62 citations in OpenAlex.

  1. Decoding chromosome organization using proximity labeling and long-read sequencing.Journal of genetics and genomics = Yi chuan xue bao · 2026
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  14. A prevalent huge phage clade in human and animal gut microbiomes.bioRxiv : the preprint server for biology · 2025
    Article
  15. Review
  16. Article
  17. Transgene Mapping in Animals: What to Choose?International journal of molecular sciences · 2025
    Review
  18. Article
  19. Review
  20. 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

2 authors at 1 institution in 1 country.

Paul W HookDepartment of Biomedical Engineering, Molecular Biology and Genetics, and Genetic Medicine, Johns Hopkins University, Baltimore, MD, USA.ORCID 0000-0002-3912-1999
Winston TimpDepartment of Biomedical Engineering, Molecular Biology and Genetics, and Genetic Medicine, Johns Hopkins University, Baltimore, MD, USA. wtimp@jhu.edu.ORCID 0000-0003-2083-6027
Johns Hopkins University · US

Funding

Nanopore based profiling of epigenetic stateR01HG009190 · NHGRI · JOHNS HOPKINS UNIVERSITY · PI TIMP, WINSTON GEORGE · 2017 to 2024
$4.8M
NHGRI NIH HHS R01 HG009190
6 · The paper itself

Abstract

The maturation of high-throughput short-read sequencing technology over the past two decades has shaped the way genomes are studied. Recently, single-molecule, long-read sequencing has emerged as an essential tool in deciphering genome structure and function, including filling gaps in the human reference genome, measuring the epigenome and characterizing splicing variants in the transcriptome. With recent technological developments, these single-molecule technologies have moved beyond genome assembly and are being used in a variety of ways, including to selectively sequence specific loci with long reads, measure chromatin state and protein-DNA binding in order to investigate the dynamics of gene regulation, and rapidly determine copy number variation. These increasingly flexible uses of single-molecule technologies highlight a young and fast-moving part of the field that is leading to a more accessible era of nucleic acid sequencing.

Indexed as

DNA Copy Number VariationsHigh-Throughput Nucleotide SequencingGenome, HumanHumansSequence Analysis, DNATechnology

Identifiers

PMID37161088
PMCPMC10169143
OpenAlexW4376114781

What OpenQuestion holds

Textmetadata
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.