Evidence map›Paper›PMID 32746918›Full record

ArticleGenome biology2020

Long-read-based human genomic structural variation detection with cuteSV.

Tao Jiang, Yongzhuang Liu, Yue Jiang, Junyi Li, Yan Gao, Zhe Cui, Yadong Liu, Bo Liu, Yadong Wang

Abstract readEvaluation Study
In one paragraph

Article in Genome biology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 306 papers.

0numbers the graph read from it
0cells of the map it votes in
306citing 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

306 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article

246 more citing papers are in PubMed but not listed here.

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.

Tao JiangCenter for Bioinformatics, School of Computer Science and Technology, Harbin Institute of Technology, Harbin, 150001, Heilongjiang, China.
Yongzhuang LiuCenter for Bioinformatics, School of Computer Science and Technology, Harbin Institute of Technology, Harbin, 150001, Heilongjiang, China.
Yue JiangNebula Genomics, Harbin, 150030, Heilongjiang, China.
Junyi LiSchool of Computer Science and Technology, Harbin Institute of Technology (Shenzhen), Shenzhen, 518055, Guangdong, China.
Yan GaoCenter for Bioinformatics, School of Computer Science and Technology, Harbin Institute of Technology, Harbin, 150001, Heilongjiang, China.
Zhe CuiCenter for Bioinformatics, School of Computer Science and Technology, Harbin Institute of Technology, Harbin, 150001, Heilongjiang, China.
Yadong LiuCenter for Bioinformatics, School of Computer Science and Technology, Harbin Institute of Technology, Harbin, 150001, Heilongjiang, China.
Bo LiuCenter for Bioinformatics, School of Computer Science and Technology, Harbin Institute of Technology, Harbin, 150001, Heilongjiang, China. bo.liu@hit.edu.cn.
Yadong WangCenter for Bioinformatics, School of Computer Science and Technology, Harbin Institute of Technology, Harbin, 150001, Heilongjiang, China. ydwang@hit.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Long-read sequencing is promising for the comprehensive discovery of structural variations (SVs). However, it is still non-trivial to achieve high yields and performance simultaneously due to the complex SV signatures implied by noisy long reads. We propose cuteSV, a sensitive, fast, and scalable long-read-based SV detection approach. cuteSV uses tailored methods to collect the signatures of various types of SVs and employs a clustering-and-refinement method to implement sensitive SV detection. Benchmarks on simulated and real long-read sequencing datasets demonstrate that cuteSV has higher yields and scaling performance than state-of-the-art tools. cuteSV is available at https://github.com/tjiangHIT/cuteSV .

Indexed as

Genomic Structural VariationSoftwareHumansLong-read sequencingScaling performanceStructural variants detection

Identifiers

PMID32746918
PMCPMC7477834

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.