Evidence map›Paper›PMID 39567237›Full record

ReviewGenome research2024

Leveraging the power of long reads for targeted sequencing.

Shruti V Iyer, Sara Goodwin, William Richard McCombie

Abstract readReview
In one paragraph

Review in Genome research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

20 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Long-read sequencing for neurological disorders: opportunities, challenges, and future directions.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2026
    Review
  6. Article
  7. Review
  8. Article
  9. Review
  10. Enrichment techniques for clinical metagenomics.Frontiers in cellular and infection microbiology · 2026
    Review
  11. Article
  12. Review
  13. Article
  14. Review
  15. Article
  16. Review
  17. Review
  18. Review
  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

3 authors.

Shruti V IyerCold Spring Harbor Laboratory, Cold Spring Harbor, New York 11724, USA.ORCID 0000-0002-4351-9975
Sara GoodwinCold Spring Harbor Laboratory, Cold Spring Harbor, New York 11724, USA.ORCID 0000-0002-6110-7296
William Richard McCombieCold Spring Harbor Laboratory, Cold Spring Harbor, New York 11724, USA mccombie@cshl.edu.ORCID 0000-0003-1899-0682

Funding

Single-Cell Biology Shared ResourceP30CA045508 · NCI · COLD SPRING HARBOR LABORATORY · PI David A Tuveson · 1987 to 2026
$118.9M
The Development and Optimization of Long-Read Sequencing Applications to Cancer Genomics in a Core SettingR50CA243890 · NCI · COLD SPRING HARBOR LABORATORY · PI GOODWIN, SARA · 2019 to 2025
$920k
NCI NIH HHS P30 CA045508NCI NIH HHS R50 CA243890
6 · The paper itself

Abstract

Long-read sequencing technologies have improved the contiguity and, as a result, the quality of genome assemblies by generating reads long enough to span and resolve complex or repetitive regions of the genome. Several groups have shown the power of long reads in detecting thousands of genomic and epigenomic features that were previously missed by short-read sequencing approaches. While these studies demonstrate how long reads can help resolve repetitive and complex regions of the genome, they also highlight the throughput and coverage requirements needed to accurately resolve variant alleles across large populations using these platforms. At the time of this review, whole-genome long-read sequencing is more expensive than short-read sequencing on the highest throughput short-read instruments; thus, achieving sufficient coverage to detect low-frequency variants (such as somatic variation) in heterogenous samples remains challenging. Targeted sequencing, on the other hand, provides the depth necessary to detect these low-frequency variants in heterogeneous populations. Here, we review currently used and recently developed targeted sequencing strategies that leverage existing long-read technologies to increase the resolution with which we can look at nucleic acids in a variety of biological contexts.

Indexed as

High-Throughput Nucleotide SequencingSequence Analysis, DNAAnimalsGenome, HumanGenomicsHumans

Identifiers

PMID39567237
PMCPMC11610587

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.