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WorkWays: Interacting with Scientific Workflows
1 references·8 citing·27 second hop
WorkWays: Interacting with Scientific Workflows (2014)WorkWays: Interacting with Scientific Wor…Galaxy: a comprehensive approach for supporting accessible, reproducible, and transparent computational research in the life sciences (2010)Galaxy: a comprehensive appro…Keeping track of user steering actions in dynamic workflows (2019)Keeping track of user steerin…Provenance of Dynamic Adaptations in User-Steered Dataflows (2018)Provenance of Dynamic Adaptat…JobPruner: A machine learning assistant for exploring parameter spaces in HPC applications (2018)JobPruner: A machine learning…Adding domain data to code profiling tools to debug workflow parallel execution (2018)Adding domain data to code pr…Data reduction in scientific workflows using provenance monitoring and user steering (2017)Data reduction in scientific …Kepler WebView: A Lightweight, Portable Framework for Constructing Real-time Web Interfaces of Scientific Workflows (2016)Kepler WebView: A Lightweight…Integrating Domain-Data Steering with Code-Profiling Tools to Debug Data-Intensive Workflows. (2016)Integrating Domain-Data Steer…WorkWays : interacting with scientific workflows (2015)WorkWays : interacting with s…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)Kepler: An Extensible System for Design and Execution of Scientific Workflows (2004)Galaxy: A Web‐Based Genome Analysis Tool for Experimentalists (2010)The Taverna workflow suite: designing and executing workflows of Web Services on the desktop, web or in the cloud (2013)A demonstration of modularity, reuse, reproducibility, portability and scalability for modeling and simulation of cardiac electrophysiology using Kepler Workflows (2019)Toward a Methodology and Framework for Workflow-Driven Team Science (2019)Online workflow management and performance analysis with Stampede (2011)Analyzing related raw data files through dataflows (2015)FireWorks: a dynamic workflow system designed for high‐throughput applications (2015)Scientific workflow management and the Kepler system (2005)Examining the Challenges of Scientific Workflows (2007)Science gateway workshops 2014 special issue conference publications (2015)Workflows and e-Science: An overview of workflow system features and capabilities (2008)Characterizing and profiling scientific workflows (2012)State-of-the-Art Review: A User’s Guide to the Brave New World of Designing Simulation Experiments (2005)Distributed Bayesian optimization of deep reinforcement learning algorithms (2020)Workflows For E-Science: Scientific Workflows For Grids (2007)Provenance and scientific workflows (2008)Big data and its technical challenges (2014)SCIRun (1995)Wings: Intelligent Workflow-Based Design of Computational Experiments (2010)ProvLight: Efficient Workflow Provenance Capture on the Edge-to-Cloud Continuum (2023)Workflow Provenance in the Computing Continuum for Responsible, Trustworthy, and Energy-Efficient AI (2024)
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References

  • 2010Galaxy: a comprehensive approach for supporting accessible, reproducible, and transparent computational research in the life sciences3,455 cited

Cited by

  • 2019Keeping track of user steering actions in dynamic workflows14 cited
  • 2017Data reduction in scientific workflows using provenance monitoring and user steering13 cited
  • 2016Kepler WebView: A Lightweight, Portable Framework for Constructing Real-time Web Interfaces of Scientific Workflows12 cited
  • 2018Adding domain data to code profiling tools to debug workflow parallel execution10 cited
  • 2018Provenance of Dynamic Adaptations in User-Steered Dataflows10 cited
  • 2015WorkWays : interacting with scientific workflows10 cited
  • 2016Integrating Domain-Data Steering with Code-Profiling Tools to Debug Data-Intensive Workflows.9 cited
  • 2018JobPruner: A machine learning assistant for exploring parameter spaces in HPC applications9 cited

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