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Field of genes: using Apache Kafka as a bioinformatic data repository
4 references·0 citing·20 second hop
Field of genes: using Apache Kafka as a bioinformatic data repository (2018)Field of genes: using Apache Kafka as a b…Big data stream computing in healthcare real-time analytics (2016)Big data stream computing in …Engineering bioinformatics: building reliability, performance and productivity into bioinformatics software (2015)Engineering bioinformatics: b…BioShaDock: a community driven bioinformatics shared Docker-based tools registry (2015)BioShaDock: a community drive…Bioboxes: standardised containers for interchangeable bioinformatics software (2015)Bioboxes: standardised contai…Why Most Published Research Findings Are False (2005)Why Most Published Research Findings Are False (2005)Best Practices for Scientific Computing (2014)Bionitio: demonstrating and facilitating best practices for bioinformatics command-line software (2019)ASpecD: A Modular Framework for the Analysis of Spectroscopic Data Focussing on Reproducibility and Good Scientific Practice** (2022)Improving bioinformatics software quality through incorporation of software engineering practices (2022)Creating a bioinformatics nation (2002)An introduction to Docker for reproducible research (2015)The impact of Docker containers on the performance of genomic pipelines (2015)The Dockstore: enabling modular, community-focused sharing of Docker-based genomics tools and workflows (2017)Building Containerized Workflows Using the BioDepot-Workflow-Builder (2019)Galaxy: a comprehensive approach for supporting accessible, reproducible, and transparent computational research in the life sciences (2010)Open science is a research accelerator (2011)Dissemination of scientific software with Galaxy ToolShed (2014)Use of application containers and workflows for genomic data analysis (2016)Robust Cross-Platform Workflows: How Technical and Scientific Communities Collaborate to Develop, Test and Share Best Practices for Data Analysis (2017)A Survey of Big Data Analytics in Healthcare and Government (2015)Big Data Analytics: A Comparison of Tools and Applications (2018)Knowledge discovery from a more than a decade studies on healthcare Big Data systems: a scientometrics study (2019)Big Data Processing: Batch-based processing and stream-based processing (2020)
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References

  • 2016Big data stream computing in healthcare real-time analytics125 cited
  • 2015Bioboxes: standardised containers for interchangeable bioinformatics software85 cited
  • 2015BioShaDock: a community driven bioinformatics shared Docker-based tools registry37 cited
  • 2015Engineering bioinformatics: building reliability, performance and productivity into bioinformatics software28 cited

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