Evidence map›Paper›PMID 26271043›Full record

ArticlePloS one2015

ExScalibur: A High-Performance Cloud-Enabled Suite for Whole Exome Germline and Somatic Mutation Identification.

Riyue Bao, Kyle Hernandez, Lei Huang, Wenjun Kang, Elizabeth Bartom, Kenan Onel, Samuel Volchenboum, Jorge Andrade

Abstract read
In one paragraph

Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Germline Pathogenic DROSHA Variants Are Linked to Pineoblastoma and Wilms Tumor Predisposition.Clinical cancer research : an official journal of the American Association for Cancer Research · 2025
    Article
  2. Resources and tools for rare disease variant interpretation.Frontiers in molecular biosciences · 2023
    Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Informatics for cancer immunotherapy.Annals of oncology : official journal of the European Society for Medical Oncology · 2017
    Review
  8. Challenges in the Setup of Large-scale Next-Generation Sequencing Analysis Workflows.Computational and structural biotechnology journal · 2017
    Review
  9. 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

8 authors.

Riyue BaoCenter for Research Informatics, The University of Chicago, Chicago, Illinois, United States of America.
Kyle HernandezCenter for Research Informatics, The University of Chicago, Chicago, Illinois, United States of America.
Lei HuangCenter for Research Informatics, The University of Chicago, Chicago, Illinois, United States of America.
Wenjun KangCenter for Research Informatics, The University of Chicago, Chicago, Illinois, United States of America.
Elizabeth BartomCenter for Research Informatics, The University of Chicago, Chicago, Illinois, United States of America.
Kenan OnelDepartment of Pediatrics, The University of Chicago, Chicago, Illinois, United States of America.
Samuel VolchenboumCenter for Research Informatics, The University of Chicago, Chicago, Illinois, United States of America; Department of Pediatrics, The University of Chicago, Chicago, Illinois, United States of America; Computation Institute, The University of Chicago, Chicago, Illinois, United States of America.
Jorge AndradeCenter for Research Informatics, The University of Chicago, Chicago, Illinois, United States of America.

Funding

TRANSLATIONAL RESEARCH UNIVERSITY OF CHICAGO: CLINICAL TRIALSUL1RR024999 · NCRR · UNIVERSITY OF CHICAGO · PI SOLWAY, JULIAN · 2007 to 2011
$25.3M
Re-Engineering Translational Research at the University of ChicagoUL1TR000430 · NCATS · UNIVERSITY OF CHICAGO · PI SOLWAY, JULIAN · 2012 to 2016
$20.2M
NCATS NIH HHS UL1 TR000430NCRR NIH HHS UL1 RR024999
6 · The paper itself

Abstract

Whole exome sequencing has facilitated the discovery of causal genetic variants associated with human diseases at deep coverage and low cost. In particular, the detection of somatic mutations from tumor/normal pairs has provided insights into the cancer genome. Although there is an abundance of publicly-available software for the detection of germline and somatic variants, concordance is generally limited among variant callers and alignment algorithms. Successful integration of variants detected by multiple methods requires in-depth knowledge of the software, access to high-performance computing resources, and advanced programming techniques. We present ExScalibur, a set of fully automated, highly scalable and modulated pipelines for whole exome data analysis. The suite integrates multiple alignment and variant calling algorithms for the accurate detection of germline and somatic mutations with close to 99% sensitivity and specificity. ExScalibur implements streamlined execution of analytical modules, real-time monitoring of pipeline progress, robust handling of errors and intuitive documentation that allows for increased reproducibility and sharing of results and workflows. It runs on local computers, high-performance computing clusters and cloud environments. In addition, we provide a data analysis report utility to facilitate visualization of the results that offers interactive exploration of quality control files, read alignment and variant calls, assisting downstream customization of potential disease-causing mutations. ExScalibur is open-source and is also available as a public image on Amazon cloud.

Indexed as

SoftwareAlgorithmsComputational BiologyExomeGerm-Line MutationHumansInternetMutationReproducibility of Results

Identifiers

PMID26271043
PMCPMC4535852

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.