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Exploring Molecular Evolution Reconstruction Using a Parallel Cloud Based Scientific Workflow
5 references·3 citing·25 second hop
Exploring Molecular Evolution Reconstruction Using a Parallel Cloud Based Scientific Workflow (2012)Exploring Molecular Evolution Reconstruct…The Fourth Paradigm: Data-Intensive Scientific Discovery [Point of View] (2011)The Fourth Paradigm: Data-Int…SciPhy: A Cloud-Based Workflow for Phylogenetic Analysis of Drug Targets in Protozoan Genomes (2011)SciPhy: A Cloud-Based Workflo…Towards optimising distributed data streaming graphs using parallel streams (2010)Towards optimising distribute…Provenance for Computational Tasks: A Survey (2008)Provenance for Computational …Workflows For E-Science: Scientific Workflows For Grids (2007)Workflows For E-Science: Scie…Challenges of Provenance in Scientific Workflow Management Systems (2022)Challenges of Provenance in S…User-steering of HPC workflows (2013)User-steering of HPC workflowsDiscovering drug targets for neglected diseases using a pharmacophylogenomic cloud workflow (2012)Discovering drug targets for …A survey of data provenance in e-science (2005)Taverna: lessons in creating a workflow environment for the life sciences (2005)Provenance and scientific workflows (2008)A survey on provenance: What for? What form? What from? (2017)A Large-Scale Study About Quality and Reproducibility of Jupyter Notebooks (2019)Examining the Challenges of Scientific Workflows (2007)Workflows and e-Science: An overview of workflow system features and capabilities (2008)Using Active Data to Provide Smart Data Surveillance to E-Science Users (2015)Data reduction in scientific workflows using provenance monitoring and user steering (2017)Key factors in the rising cost of new drug discovery and development (2004)Taverna: a tool for building and running workflows of services (2006)Galaxy: a comprehensive approach for supporting accessible, reproducible, and transparent computational research in the life sciences (2010)Taverna: a tool for the composition and enactment of bioinformatics workflows (2004)The Fourth Paradigm: Data-Intensive Scientific Discovery (2009)Performance database: capturing data for optimizing distributed streaming workflows (2011)Towards Reliable, Performant Workflows for Streaming-Applications on Cloud Platforms (2011)Towards Reliable, Performant Workflows for Streaming-Applications on Cloud Platforms (2011)Dynamic steering of HPC scientific workflows: A survey (2014)Parallel computing in genomic research: advances and applications (2015)An efficient pattern-based approach for workflow supporting large-scale science: The DagOnStar experience (2021)The design and realisation of the Virtual Research Environment for social sharing of workflows (2008)A characterization of workflow management systems for extreme-scale applications (2017)Exascale computing and big data (2015)Towards felicitous decision making: An overview on challenges and trends of Big Data (2016)How Data Science Workers Work with Data (2019)
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References

  • 2011The Fourth Paradigm: Data-Intensive Scientific Discovery [Point of View]528 cited
  • 2007Workflows For E-Science: Scientific Workflows For Grids514 cited
  • 2008Provenance for Computational Tasks: A Survey511 cited
  • 2011SciPhy: A Cloud-Based Workflow for Phylogenetic Analysis of Drug Targets in Protozoan Genomes86 cited
  • 2010Towards optimising distributed data streaming graphs using parallel streams55 cited

Cited by

  • 2013User-steering of HPC workflows18 cited
  • 2012Discovering drug targets for neglected diseases using a pharmacophylogenomic cloud workflow13 cited
  • 2022Challenges of Provenance in Scientific Workflow Management Systems9 cited

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