Evidence map›Paper›PMID 25348035›Full record

ArticleGenome biology2014

Mobster: accurate detection of mobile element insertions in next generation sequencing data.

Djie Tjwan Thung, Joep de Ligt, Lisenka E M Vissers, Marloes Steehouwer, Mark Kroon, Petra de Vries, Eline P Slagboom, Kai Ye, Joris A Veltman, Jayne Y Hehir-Kwa

Abstract readValidation Study
In one paragraph

Article in Genome biology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 64 papers.

0numbers the graph read from it
0cells of the map it votes in
64citing 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

64 citing papers in PubMed.

  1. Trial
  2. Article
  3. Review
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  5. Review
  6. Article
  7. Article
  8. Article
  9. Review
  10. Contribution ofmedRxiv : the preprint server for health sciences · 2024
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  12. Review
  13. Review
  14. Article
  15. Article
  16. WGS Revealed NovelInternational journal of molecular sciences · 2023
    Article
  17. Article
  18. Article
  19. A NovelHuman mutation · 2023
    Article
  20. Review

4 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

10 authors.

Djie Tjwan ThungDepartment of Human Genetics, RadboudUMC, P.O. Box 9101, 6500, HB, Nijmegen, the Netherlands.
Joep de Ligt
Lisenka E M Vissers
Marloes Steehouwer
Mark Kroon
Petra de Vries
Eline P Slagboom
Kai Ye
Joris A Veltman
Jayne Y Hehir-Kwa

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mobile elements are major drivers in changing genomic architecture and can cause disease. The detection of mobile elements is hindered due to the low mappability of their highly repetitive sequences. We have developed an algorithm, called Mobster, to detect non-reference mobile element insertions in next generation sequencing data from both whole genome and whole exome studies. Mobster uses discordant read pairs and clipped reads in combination with consensus sequences of known active mobile elements. Mobster has a low false discovery rateand high recall rate for both L1 and Alu elements. Mobster is available at http://sourceforge.net/projects/mobster.

Indexed as

AlgorithmsDNA Transposable ElementsBenchmarkingGenome, HumanHumansSequence Analysis, DNADNA Transposable Elements

Identifiers

PMID25348035
PMCPMC4228151

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.