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Enhanced reproducibility of SADI web service workflows with Galaxy and Docker
5 references·3 citing·25 second hop
Enhanced reproducibility of SADI web service workflows with Galaxy and Docker (2015)Enhanced reproducibility of SADI web serv…An introduction to Docker for reproducible research (2015)An introduction to Docker for…Ten Simple Rules for Reproducible Computational Research (2013)Ten Simple Rules for Reproduc…Quantifying Reproducibility in Computational Biology: The Case of the Tuberculosis Drugome (2013)Quantifying Reproducibility i…Galaxy: a comprehensive approach for supporting accessible, reproducible, and transparent computational research in the life sciences (2010)Galaxy: a comprehensive appro…Infrastructure for the life sciences: design and implementation of the UniProt website (2009)Infrastructure for the life s…Using Docker Compose for the Simple Deployment of an Integrated Drug Target Screening Platform (2017)Using Docker Compose for the …BGDMdocker: a Docker workflow for data mining and visualization of bacterial pan-genomes and biosynthetic gene clusters (2017)BGDMdocker: a Docker workflow…An architecture for genomics analysis in a clinical setting using Galaxy and Docker (2017)An architecture for genomics …Reproducible Research in Computational Science (2011)Computational Reproducibility in Archaeological Research: Basic Principles and a Case Study of Their Implementation (2016)Scientific workflows for computational reproducibility in the life sciences: Status, challenges and opportunities (2017)Automated assessment of psychiatric disorders using speech: A systematic review (2020)Taverna: a tool for the composition and enactment of bioinformatics workflows (2004)Galaxy: A platform for interactive large-scale genome analysis (2005)Reproducibility in Science (2014)Good enough practices in scientific computing. (2017)Preferred reporting items for systematic reviews and meta‐analyses in ecology and evolutionary biology: a PRISMA extension (2021)Examining the Challenges of Scientific Workflows (2007)The Open Provenance Model core specification (v1.1) (2010)On Reproducible AI: Towards Reproducible Research, Open Science, and Digital Scholarship in AI Publications (2018)Sharing interoperable workflow provenance: A review of best practices and their practical application in CWLProv (2019)The five pillars of computational reproducibility: bioinformatics and beyond (2023)Design Patterns: Elements of Reusable Object-Oriented Software (1994)Bioconductor: open software development for computational biology and bioinformatics (2004)Nextflow enables reproducible computational workflows (2017)The Taverna workflow suite: designing and executing workflows of Web Services on the desktop, web or in the cloud (2013)The impact of Docker containers on the performance of genomic pipelines (2015)The Galaxy platform for accessible, reproducible and collaborative biomedical analyses: 2016 update (2016)Bioboxes: standardised containers for interchangeable bioinformatics software (2015)Snakemake—a scalable bioinformatics workflow engine (2012)Executing SADI services in Galaxy (2014)Toward Reproducibility in Online Social Network Research (2015)Improving data workflow systems with cloud services and use of open data for bioinformatics research (2017)
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References

  • 2010Galaxy: a comprehensive approach for supporting accessible, reproducible, and transparent computational research in the life sciences3,455 cited
  • 2015An introduction to Docker for reproducible research1,058 cited
  • 2013Ten Simple Rules for Reproducible Computational Research875 cited
  • 2009Infrastructure for the life sciences: design and implementation of the UniProt website484 cited
  • 2013Quantifying Reproducibility in Computational Biology: The Case of the Tuberculosis Drugome116 cited

Cited by

  • 2017An architecture for genomics analysis in a clinical setting using Galaxy and Docker12 cited
  • 2017BGDMdocker: a Docker workflow for data mining and visualization of bacterial pan-genomes and biosynthetic gene clusters8 cited
  • 2017Using Docker Compose for the Simple Deployment of an Integrated Drug Target Screening Platform7 cited

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