Evidence map›Paper›PMID 26421241›Full record

ArticlePeerJ2015

The impact of Docker containers on the performance of genomic pipelines.

Paolo Di Tommaso, Emilio Palumbo, Maria Chatzou, Pablo Prieto, Michael L Heuer, Cedric Notredame

Abstract read
In one paragraph

Article in PeerJ, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers.

0numbers the graph read from it
0cells of the map it votes in
44citing 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

44 citing papers in PubMed.

  1. Article
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  4. Churros: a Docker-based pipeline for large-scale epigenomic analysis.DNA research : an international journal for rapid publication of reports on genes and genomes · 2024
    Article
  5. Article
  6. Review
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  9. Article
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  12. Cloud Computing Enabled Big Multi-Omics Data Analytics.Bioinformatics and biology insights · 2021
    Review
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  15. Article
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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

6 authors.

Paolo Di TommasoBioinformatics and Genomics Program, Centre for Genomic Regulation (CRG) , Barcelona , Spain ; Universitat Pompeu Fabra (UPF) , Barcelona , Spain.
Emilio PalumboBioinformatics and Genomics Program, Centre for Genomic Regulation (CRG) , Barcelona , Spain ; Universitat Pompeu Fabra (UPF) , Barcelona , Spain.
Maria ChatzouBioinformatics and Genomics Program, Centre for Genomic Regulation (CRG) , Barcelona , Spain ; Universitat Pompeu Fabra (UPF) , Barcelona , Spain.
Pablo PrietoBioinformatics and Genomics Program, Centre for Genomic Regulation (CRG) , Barcelona , Spain ; Universitat Pompeu Fabra (UPF) , Barcelona , Spain.
Michael L HeuerDepartment of Bioinformatics Research, National Marrow Donor Program , Minneapolis, MN , United States.
Cedric NotredameBioinformatics and Genomics Program, Centre for Genomic Regulation (CRG) , Barcelona , Spain ; Universitat Pompeu Fabra (UPF) , Barcelona , Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Genomic pipelines consist of several pieces of third party software and, because of their experimental nature, frequent changes and updates are commonly necessary thus raising serious deployment and reproducibility issues. Docker containers are emerging as a possible solution for many of these problems, as they allow the packaging of pipelines in an isolated and self-contained manner. This makes it easy to distribute and execute pipelines in a portable manner across a wide range of computing platforms. Thus, the question that arises is to what extent the use of Docker containers might affect the performance of these pipelines. Here we address this question and conclude that Docker containers have only a minor impact on the performance of common genomic pipelines, which is negligible when the executed jobs are long in terms of computational time.

Indexed as

BioinformaticsDockerPipelinesVirtualisationWorkflow

Identifiers

PMID26421241
PMCPMC4586803

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.