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A case study for cloud based high throughput analysis of NGS data using the globus genomics system
2 references·1 citing·12 second hop
A case study for cloud based high throughput analysis of NGS data using the globus genomics system (2014)A case study for cloud based high through…Launching genomics into the cloud: deployment of Mercury, a next generation sequence analysis pipeline (2014)Launching genomics into the c…Experiences building Globus Genomics: a next‐generation sequencing analysis service using Galaxy, Globus, and Amazon Web Services (2014)Experiences building Globus G…Big omics data experience (2015)Big omics data experienceGalaxy: a comprehensive approach for supporting accessible, reproducible, and transparent computational research in the life sciences (2010)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)Galaxy: A Web‐Based Genome Analysis Tool for Experimentalists (2010)Characterizing and profiling scientific workflows (2012)Dynamic steering of HPC scientific workflows: A survey (2014)Galaxy: A platform for interactive large-scale genome analysis (2005)Parallel computing in genomic research: advances and applications (2015)Scalable and cost-effective NGS genotyping in the cloud (2015)systemPipeR: NGS workflow and report generation environment (2016)
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References

  • 2014Launching genomics into the cloud: deployment of Mercury, a next generation sequence analysis pipeline221 cited
  • 2014Experiences building Globus Genomics: a next‐generation sequencing analysis service using Galaxy, Globus, and Amazon Web Services73 cited

Cited by

  • 2015Big omics data experience10 cited

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