Evidence map›Paper›PMID 31934500›Full record

ArticlePeerJ2020

sv-callers: a highly portable parallel workflow for structural variant detection in whole-genome sequence data.

Arnold Kuzniar, Jason Maassen, Stefan Verhoeven, Luca Santuari, Carl Shneider, Wigard P Kloosterman, Jeroen de Ridder

Abstract read
In one paragraph

Article in PeerJ, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
–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

12 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  3. Review
  4. Manipulating alternative end-joining alters carbon-ion beam-induced genome mutation profiles in Arabidopsis thaliana.DNA research : an international journal for rapid publication of reports on genes and genomes · 2025
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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

7 authors.

Arnold KuzniarNetherlands eScience Center, Amsterdam, Netherlands.ORCID 0000-0003-1711-7961
Jason MaassenNetherlands eScience Center, Amsterdam, Netherlands.ORCID 0000-0002-8172-4865
Stefan VerhoevenNetherlands eScience Center, Amsterdam, Netherlands.ORCID 0000-0002-5821-2060
Luca SantuariCenter for Molecular Medicine, University Medical Center Utrecht, Utrecht, Netherlands.ORCID 0000-0001-8784-2507
Carl ShneiderCenter for Molecular Medicine, University Medical Center Utrecht, Utrecht, Netherlands.
Wigard P KloostermanCenter for Molecular Medicine, University Medical Center Utrecht, Utrecht, Netherlands.ORCID 0000-0003-3357-4580
Jeroen de RidderCenter for Molecular Medicine, University Medical Center Utrecht, Utrecht, Netherlands.ORCID 0000-0002-0828-3477

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Structural variants (SVs) are an important class of genetic variation implicated in a wide array of genetic diseases including cancer. Despite the advances in whole genome sequencing, comprehensive and accurate detection of SVs in short-read data still poses some practical and computational challenges. We present

Indexed as

Cancer genomicsCloud computingHigh-performance computingOpen scienceResearch softwareScientific workflowSnakemakeStructural variantsVariant callingXenon

Identifiers

PMID31934500
PMCPMC6951283

What OpenQuestion holds

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LicenceCC BY
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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.