Evidence map›Paper›PMID 29713081›Full record

ArticleNature methods2018

Picky comprehensively detects high-resolution structural variants in nanopore long reads.

Liang Gong, Chee-Hong Wong, Wei-Chung Cheng, Harianto Tjong, Francesca Menghi, Chew Yee Ngan, Edison T Liu, Chia-Lin Wei

Abstract read
In one paragraph

Article in Nature methods, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 54 papers.

0numbers the graph read from it
0cells of the map it votes in
54citing papers in PubMed
6.6field-weighted citation impact, top 2% 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

54 citing papers in PubMed, 126 citations in OpenAlex.

  1. Review
  2. Review
  3. DNA Replication Errors Drive Genome-Wide Small Inverted Triplication Dynamics.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article
  4. Review
  5. Article
  6. Article
  7. Review
  8. Article
  9. Review
  10. Review
  11. Article
  12. Article
  13. Article
  14. Review
  15. Article
  16. Regulation and function of transposable elements in cancer genomes.Cellular and molecular life sciences : CMLS · 2024
    Review
  17. Article
  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

8 authors at 2 institutions in 2 countries.

Liang GongThe Jackson Laboratory for Genomic Medicine, Farmington, CT, USA.
Chee-Hong WongThe Jackson Laboratory for Genomic Medicine, Farmington, CT, USA.
Wei-Chung ChengChina Medical University, Taichung, Taiwan.
Harianto TjongThe Jackson Laboratory for Genomic Medicine, Farmington, CT, USA.
Francesca MenghiThe Jackson Laboratory for Genomic Medicine, Farmington, CT, USA.
Chew Yee NganThe Jackson Laboratory for Genomic Medicine, Farmington, CT, USA.
Edison T LiuThe Jackson Laboratory for Genomic Medicine, Farmington, CT, USA.
Chia-Lin WeiThe Jackson Laboratory for Genomic Medicine, Farmington, CT, USA. chia-lin.wei@jax.org.
Jackson Laboratory · USChina Medical University · TW

Funding

Shared Resource ManagementP30CA034196 · NCI · JACKSON LABORATORY · PI William Carl Skarnes · 1985 to 2026
$61.9M
NCI NIH HHS P30 CA034196
6 · The paper itself

Abstract

Acquired genomic structural variants (SVs) are major hallmarks of cancer genomes, but they are challenging to reconstruct from short-read sequencing data. Here we exploited the long reads of the nanopore platform using our customized pipeline, Picky ( https://github.com/TheJacksonLaboratory/Picky ), to reveal SVs of diverse architecture in a breast cancer model. We identified the full spectrum of SVs with superior specificity and sensitivity relative to short-read analyses, and uncovered repetitive DNA as the major source of variation. Examination of genome-wide breakpoints at nucleotide resolution uncovered micro-insertions as the common structural features associated with SVs. Breakpoint density across the genome is associated with the propensity for interchromosomal connectivity and was found to be enriched in promoters and transcribed regions of the genome. Furthermore, we observed an over-representation of reciprocal translocations from chromosomal double-crossovers through phased SVs. We demonstrate that Picky analysis is an effective tool for comprehensive detection of SVs in cancer genomes from long-read data.

Indexed as

Gene Expression Regulation, NeoplasticGenomic Structural VariationNanoporesCell Line, TumorDNA Mutational AnalysisGenomeHigh-Throughput Nucleotide SequencingHumans

Identifiers

PMID29713081
PMCPMC5990454
OpenAlexW2800441838

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.