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From biomedical cloud platforms to microservices: next steps in FAIR data and analysis
7 references·2 citing·26 second hop
From biomedical cloud platforms to microservices: next steps in FAIR data and analysis (2022)From biomedical cloud platforms to micros…Inverting the model of genomics data sharing with the NHGRI Genomic Data Science Analysis, Visualization, and Informatics Lab-space (2022)Inverting the model of genomi…CanDIG: Federated network across Canada for multi-omic and health data discovery and analysis (2021)CanDIG: Federated network acr…Towards FAIR principles for research software (2019)Towards FAIR principles for r…Interoperable and scalable data analysis with microservices: applications in metabolomics (2019)Interoperable and scalable da…Data Lakes, Clouds, and Commons: A Review of Platforms for Analyzing and Sharing Genomic Data (2019)Data Lakes, Clouds, and Commo…PhenoMeNal: processing and analysis of metabolomics data in the cloud (2018)PhenoMeNal: processing and an…BioContainers: an open-source and community-driven framework for software standardization (2017)BioContainers: an open-source…Federated and reusable processing of Earth observation data (2025)Federated and reusable proces…Nextflow in Bioinformatics: Executors Performance Comparison Using Genomics Data (2023)Nextflow in Bioinformatics: E…The Taverna workflow suite: designing and executing workflows of Web Services on the desktop, web or in the cloud (2013)The Galaxy platform for accessible, reproducible and collaborative biomedical analyses: 2016 update (2016)Towards reproducible computational drug discovery (2020)Framing the Frameworks: A Review of IT Governance Research (2005)An introduction to Docker for reproducible research (2015)A review of bioinformatic pipeline frameworks (2016)FAIRSCAPE: a Framework for FAIR and Reproducible Biomedical Analytics (2021)A Survey of Biological Data in a Big Data Perspective (2022)Challenges to Using Big Data in Cancer (2023)Galaxy: a comprehensive approach for supporting accessible, reproducible, and transparent computational research in the life sciences (2010)Jupyter Notebooks – a publishing format for reproducible computational workflows (2016)Nextflow enables reproducible computational workflows (2017)Scientific workflow managers in metabolomics: an overview (2020)Bioconductor: open software development for computational biology and bioinformatics (2004)Bioconda: sustainable and comprehensive software distribution for the life sciences (2018)WDL Analysis Research Pipelines: Cloud-Optimized Workflows for Biological Data Processing and Reproducible Analysis (2024)Galaxy for accessible, reproducible, and collaborative data analyses: 2026 update (2026)Reproducible, scalable, and shareable analysis pipelines with bioinformatics workflow managers (2021)Using prototyping to choose a bioinformatics workflow management system (2021)The openEO API–Harmonising the Use of Earth Observation Cloud Services Using Virtual Data Cube Functionalities (2021)Conceptualizing the analysis-readiness for the next-generation SDI through the Open Geospatial Engine (OGE) (2026)Scalable Data Analysis in Proteomics and Metabolomics Using BioContainers and Workflows Engines (2019)Toward collaborative open data science in metabolomics using Jupyter Notebooks and cloud computing (2019)A Practical Guide to Metabolomics Software Development (2021)Bayesian Analysis Reporting Guidelines (2021)A large-scale study on research code quality and execution (2022)
this work references cited by second hop

References

  • 2017BioContainers: an open-source and community-driven framework for software standardization798 cited
  • 2019Towards FAIR principles for research software322 cited
  • 2018PhenoMeNal: processing and analysis of metabolomics data in the cloud150 cited
  • 2022Inverting the model of genomics data sharing with the NHGRI Genomic Data Science Analysis, Visualization, and Informatics Lab-space143 cited
  • 2019Data Lakes, Clouds, and Commons: A Review of Platforms for Analyzing and Sharing Genomic Data66 cited
  • 2021CanDIG: Federated network across Canada for multi-omic and health data discovery and analysis31 cited
  • 2019Interoperable and scalable data analysis with microservices: applications in metabolomics30 cited

Cited by

  • 2025Federated and reusable processing of Earth observation data18 cited
  • 2023Nextflow in Bioinformatics: Executors Performance Comparison Using Genomics Data9 cited

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