Evidence map›Paper›PMID 25503062›Full record

ArticlePloS one2014

ViVar: a comprehensive platform for the analysis and visualization of structural genomic variation.

Tom Sante, Sarah Vergult, Pieter-Jan Volders, Wigard P Kloosterman, Geert Trooskens, Katleen De Preter, Annelies Dheedene, Frank Speleman, Tim De Meyer, Björn Menten

Abstract read
In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.

0numbers the graph read from it
0cells of the map it votes in
34citing 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

34 citing papers in PubMed.

  1. Article
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  8. Retained chromosomal integrity following CRISPR-Cas9-based mutational correction in human embryos.Molecular therapy : the journal of the American Society of Gene Therapy · 2023
    Article
  9. Article
  10. Article
  11. Article
  12. Luminescent Human iPSC-Derived Neurospheroids Enable Modeling of Neurotoxicity After Oxygen-glucose Deprivation.Neurotherapeutics : the journal of the American Society for Experimental NeuroTherapeutics · 2022
    Article
  13. Article
  14. Article
  15. Long-Read Sequencing to Unravel Complex Structural Variants ofFrontiers in cell and developmental biology · 2021
    Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. A clinical scoring system for congenital contractural arachnodactyly.Genetics in medicine : official journal of the American College of Medical Genetics · 2020
    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

10 authors.

Tom SanteCenter for Medical Genetics, Faculty of Medicine and Health Sciences, Ghent University, Gent, Belgium.
Sarah VergultCenter for Medical Genetics, Faculty of Medicine and Health Sciences, Ghent University, Gent, Belgium.
Pieter-Jan VoldersCenter for Medical Genetics, Faculty of Medicine and Health Sciences, Ghent University, Gent, Belgium.
Wigard P KloostermanDepartment of Medical Genetics, University Medical Center Utrecht, Utrecht, The Netherlands.
Geert TrooskensBioBix, Faculty of Bioscience Engineering, Ghent University, Gent, Belgium.
Katleen De PreterCenter for Medical Genetics, Faculty of Medicine and Health Sciences, Ghent University, Gent, Belgium.
Annelies DheedeneCenter for Medical Genetics, Faculty of Medicine and Health Sciences, Ghent University, Gent, Belgium.
Frank SpelemanCenter for Medical Genetics, Faculty of Medicine and Health Sciences, Ghent University, Gent, Belgium.
Tim De MeyerBioBix, Faculty of Bioscience Engineering, Ghent University, Gent, Belgium.
Björn MentenCenter for Medical Genetics, Faculty of Medicine and Health Sciences, Ghent University, Gent, Belgium.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Structural genomic variations play an important role in human disease and phenotypic diversity. With the rise of high-throughput sequencing tools, mate-pair/paired-end/single-read sequencing has become an important technique for the detection and exploration of structural variation. Several analysis tools exist to handle different parts and aspects of such sequencing based structural variation analyses pipelines. A comprehensive analysis platform to handle all steps, from processing the sequencing data, to the discovery and visualization of structural variants, is missing. The ViVar platform is built to handle the discovery of structural variants, from Depth Of Coverage analysis, aberrant read pair clustering to split read analysis. ViVar provides you with powerful visualization options, enables easy reporting of results and better usability and data management. The platform facilitates the processing, analysis and visualization, of structural variation based on massive parallel sequencing data, enabling the rapid identification of disease loci or genes. ViVar allows you to scale your analysis with your work load over multiple (cloud) servers, has user access control to keep your data safe and is easy expandable as analysis techniques advance. URL: https://www.cmgg.be/vivar/

Indexed as

Genomic Structural VariationComputational BiologyGenome, HumanHumansInternetKaryotype

Identifiers

PMID25503062
PMCPMC4264741

What OpenQuestion holds

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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.