Evidence map›Paper›PMID 28163975›Full record

ArticleJournal of pathology informatics2016

Use of application containers and workflows for genomic data analysis.

Wade L Schulz, Thomas J S Durant, Alexa J Siddon, Richard Torres

Abstract read
In one paragraph

Article in Journal of pathology informatics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. nf-rnaSeqCount: A Nextflow pipeline for obtaining raw read counts from RNA-seq data.South African computer journal = Suid-Afrikaanse rekenaartydskrif · 2021
    Article
  5. Article
  6. Article
  7. Container-based bioinformatics with Pachyderm.Bioinformatics (Oxford, England) · 2019
    Article
  8. Article
  9. Article
  10. Article
  11. Reproducible Bioconductor workflows using browser-based interactive notebooks and containers.Journal of the American Medical Informatics Association : JAMIA · 2018
    Article
  12. Article
  13. 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.

Wade L SchulzDepartment of Laboratory Medicine, Yale University School of Medicine, New Haven, CT, USA.
Thomas J S DurantDepartment of Laboratory Medicine, Yale University School of Medicine, New Haven, CT, USA.
Alexa J SiddonDepartment of Laboratory Medicine, Yale University School of Medicine, New Haven, CT, USA; Pathology and Laboratory Medicine Service, VA Connecticut Healthcare System, West Haven, CT, USA.
Richard TorresDepartment of Laboratory Medicine, Yale University School of Medicine, New Haven, CT, USA.

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
NCATS NIH HHS UL1 TR001863
6 · The paper itself

Abstract

backgroundThe rapid acquisition of biological data and development of computationally intensive analyses has led to a need for novel approaches to software deployment. In particular, the complexity of common analytic tools for genomics makes them difficult to deploy and decreases the reproducibility of computational experiments.

methodsRecent technologies that allow for application virtualization, such as Docker, allow developers and bioinformaticians to isolate these applications and deploy secure, scalable platforms that have the potential to dramatically increase the efficiency of big data processing.

resultsWhile limitations exist, this study demonstrates a successful implementation of a pipeline with several discrete software applications for the analysis of next-generation sequencing (NGS) data.

conclusionsWith this approach, we significantly reduced the amount of time needed to perform clonal analysis from NGS data in acute myeloid leukemia.

Indexed as

Big databioinformatics workflowcontainerizationgenomics

Identifiers

PMID28163975
PMCPMC5248400

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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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.