Evidence map›Paper›PMID 30192941›Full record

ArticleGigaScience2018

Ximmer: a system for improving accuracy and consistency of CNV calling from exome data.

Simon P Sadedin, Justine A Ellis, Seth L Masters, Alicia Oshlack

Abstract read
In one paragraph

Article in GigaScience, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing 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

27 citing papers in PubMed.

  1. Article
  2. Article
  3. <italic>WT1</italic> Deletion in 46,XY DSD: The Importance of Copy Number Variant Analysis.Sexual development : genetics, molecular biology, evolution, endocrinology, embryology, and pathology of sex determination and differentiation · 2026
    Article
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  5. Article
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  7. Article
  8. Article
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  11. PathogenicNeurology · 2023
    Article
  12. Article
  13. Genetic Basis of Early Onset Atrial Fibrillation in Patients without Risk Factors.Journal of cardiovascular development and disease · 2023
    Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Ethylmalonic encephalopathy masquerading as meningococcemia.Cold Spring Harbor molecular case studies · 2022
    Article
  20. Biallelic Variants inInternational journal of molecular sciences · 2022
    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

4 authors.

Simon P SadedinBioinformatics, Murdoch Children's Research Institute, Royal Children's Hospital, Flemington Road, Parkville, Victoria 3052 Australia.
Justine A EllisGenes Environment & Complex Disease, Murdoch Children's Research Institute, Royal Children's Hospital Flemington Road, Parkville, Victoria 3052 Australia.
Seth L MastersInflammation Division, The Walter and Eliza Hall Institute of Medical Research, 1G Royal Parade, Parkville, Victoria 3052, Australia.
Alicia OshlackBioinformatics, Murdoch Children's Research Institute, Royal Children's Hospital, Flemington Road, Parkville, Victoria 3052 Australia.

Funding

Joint Center for Mendelian GenomicsUM1HG008900 · NHGRI · BROAD INSTITUTE, INC. · PI O'DONNELL-LURIA, ANNE, REHM, HEIDI L · 2016 to 2020
$16.5M
NHGRI NIH HHS UM1 HG008900
6 · The paper itself

Abstract

Background: While exome and targeted next-generation DNA sequencing are primarily used for detecting single nucleotide changes and small indels, detection of copy number variants (CNVs) can provide highly valuable additional information from the data. Although there are dozens of exome CNV detection methods available, these are often difficult to use, and accuracy varies unpredictably between and within datasets. Findings: We present Ximmer, a tool that supports an end-to-end process for evaluating, tuning, and running analysis methods for detection of CNVs in germline samples. Ximmer includes a simulation framework, implementations of several commonly used CNV detection methods, and a visualization and curation tool that together enable interactive exploration and quality control of CNV results. Using Ximmer, we comprehensively evaluate CNV detection on four datasets using five different detection methods. We show that application of Ximmer can improve accuracy and aid in quality control of CNV detection results. In addition, Ximmer can be used to run analyses and explore CNV results in exome data. Conclusions: Ximmer offers a comprehensive tool and method for applying and improving accuracy of CNV detection methods for exome data.

Indexed as

DNA Copy Number VariationsExomeHigh-Throughput Nucleotide SequencingSoftwareAlgorithmsComputational BiologyComputer SimulationHumansReproducibility of ResultsROC CurveSensitivity and Specificity

Identifiers

PMID30192941
PMCPMC6177737

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.