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DagOn*: Executing Direct Acyclic Graphs as Parallel Jobs on Anything
9 references·1 citing·35 second hop
DagOn*: Executing Direct Acyclic Graphs as Parallel Jobs on Anything (2018)DagOn*: Executing Direct Acyclic Graphs a…Integrating Containers into Workflows (2015)Integrating Containers into W…FireWorks: a dynamic workflow system designed for high‐throughput applications (2015)FireWorks: a dynamic workflow…An introduction to Docker for reproducible research (2015)An introduction to Docker for…Experiences building Globus Genomics: a next‐generation sequencing analysis service using Galaxy, Globus, and Amazon Web Services (2014)Experiences building Globus G…The Taverna workflow suite: designing and executing workflows of Web Services on the desktop, web or in the cloud (2013)The Taverna workflow suite: d…BioBlend: automating pipeline analyses within Galaxy and CloudMan (2013)BioBlend: automating pipeline…Galaxy: a comprehensive approach for supporting accessible, reproducible, and transparent computational research in the life sciences (2010)Galaxy: a comprehensive appro…Scientific Workflow: A Survey and Research Directions (2008)Scientific Workflow: A Survey…The Triana Workflow Environment: Architecture and Applications (2007)The Triana Workflow Environme…A Microservice-Based Building Block Approach for Scientific Workflow Engines: Processing Large Data Volumes with DagOnStar (2019)A Microservice-Based Building…Taverna: a tool for the composition and enactment of bioinformatics workflows (2004)YAWL: yet another workflow language (2004)Scientific workflow management and the Kepler system (2005)Neuroimaging Study Designs, Computational Analyses and Data Provenance Using the LONI Pipeline (2010)Elastic Business Process Management: State of the art and open challenges for BPM in the cloud (2014)A characterization of workflow management systems for extreme-scale applications (2017)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)Harnessing cloud computing with Galaxy Cloud (2011)Data Lakes, Clouds, and Commons: A Review of Platforms for Analyzing and Sharing Genomic Data (2019)Reproducible big data science: A case study in continuous FAIRness (2019)An efficient pattern-based approach for workflow supporting large-scale science: The DagOnStar experience (2021)Kepler: An Extensible System for Design and Execution of Scientific Workflows (2004)Galaxy: A platform for interactive large-scale genome analysis (2005)Asterism: Pegasus and Dispel4py Hybrid Workflows for Data-Intensive Science (2016)Taverna: a tool for building and running workflows of services (2006)AiiDA: automated interactive infrastructure and database for computational science (2015)A review of bioinformatic pipeline frameworks (2016)BioContainers: an open-source and community-driven framework for software standardization (2017)Design Patterns: Elements of Reusable Object-Oriented Software (1994)Bioconductor: open software development for computational biology and bioinformatics (2004)Snakemake—a scalable bioinformatics workflow engine (2012)The Galaxy platform for accessible, reproducible and collaborative biomedical analyses: 2016 update (2016)Nextflow enables reproducible computational workflows (2017)Next-generation sequencing data interpretation: enhancing reproducibility and accessibility (2012)Towards agile large-scale predictive modelling in drug discovery with flow-based programming design principles (2016)Jupyter and Galaxy: Easing entry barriers into complex data analyses for biomedical researchers (2017)Scientific workflow design for mere mortals (2008)Taverna, Reloaded (2010)Efficient lineage tracking for scientific workflows (2008)pyiron: An integrated development environment for computational materials science (2019)AiiDA 1.0, a scalable computational infrastructure for automated reproducible workflows and data provenance (2020)Workflows in AiiDA: Engineering a high-throughput, event-based engine for robust and modular computational workflows (2020)
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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
  • 2013The Taverna workflow suite: designing and executing workflows of Web Services on the desktop, web or in the cloud678 cited
  • 2015FireWorks: a dynamic workflow system designed for high‐throughput applications548 cited
  • 2008Scientific Workflow: A Survey and Research Directions243 cited
  • 2007The Triana Workflow Environment: Architecture and Applications240 cited
  • 2013BioBlend: automating pipeline analyses within Galaxy and CloudMan96 cited
  • 2015Integrating Containers into Workflows76 cited
  • 2014Experiences building Globus Genomics: a next‐generation sequencing analysis service using Galaxy, Globus, and Amazon Web Services73 cited

Cited by

  • 2019A Microservice-Based Building Block Approach for Scientific Workflow Engines: Processing Large Data Volumes with DagOnStar17 cited

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