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Big Data: Astronomical or Genomical?
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Big Data: Astronomical or Genomical? (2015)Big Data: Astronomical or Genomical?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…Reproducible, scalable, and shareable analysis pipelines with bioinformatics workflow managers (2021)Reproducible, scalable, and s…Design considerations for workflow management systems use in production genomics research and the clinic (2021)Design considerations for wor…ELIXIR-IT HPC@CINECA: high performance computing resources for the bioinformatics community (2020)ELIXIR-IT HPC@CINECA: high pe…A review of big data and medical research (2020)A review of big data and medi…Sharing interoperable workflow provenance: A review of best practices and their practical application in CWLProv (2019)Sharing interoperable workflo…SciPipe: A workflow library for agile development of complex and dynamic bioinformatics pipelines (2019)SciPipe: A workflow library f…Genomics and data science: an application within an umbrella (2019)Genomics and data science: an…Challenges and recommendations to improve the installability and archival stability of omics computational tools (2019)Challenges and recommendation…A Roadmap for HEP Software and Computing R&D for the 2020s (2019)A Roadmap for HEP Software an…Situating Ecology as a Big-Data Science: Current Advances, Challenges, and Solutions (2018)Situating Ecology as a Big-Da…A study of big data evolution and research challenges (2018)A study of big data evolution…Unmet needs for analyzing biological big data: A survey of 704 NSF principal investigators (2017)Unmet needs for analyzing bio…Data Canopy (2017)Data Canopy“Strictly Biomedical? Sketching the Ethics of the Big Data Ecosystem in Biomedicine” (2016)“Strictly Biomedical? Sketchi…The European Bioinformatics Institute in 2016: Data growth and integration (2015)The European Bioinformatics I…Analysis Tool Web Services from the EMBL-EBI (2013)The light and shade of knowledge recombination: Insights from a general-purpose technology (2017)The European Bioinformatics Institute in 2018: tools, infrastructure and training (2018)Validity of machine learning in biology and medicine increased through collaborations across fields of expertise (2020)ROOT — An object oriented data analysis framework (1997)Open is not enough (2018)A Roadmap for HEP Software and Computing R&D for the 2020s (2019)A Comprehensive Overview of BIG DATA Technologies (2020)Big data: The next frontier for innovation, competition, and productivity (2011)Big Data: A Survey (2014)Jupyter Notebooks – a publishing format for reproducible computational workflows (2016)MoveApps: a serverless no-code analysis platform for animal tracking data (2022)‘Small Data’ for big insights in ecology (2023)Big data applications: overview, challenges and future (2024)Big data: a revolution that will transform how we live, work, and think (2013)Big Data: New Tricks for Econometrics (2014)State-of-the-Art of Artificial Intelligence and Big Data Analytics Reviews in Five Different Domains: A Bibliometric Summary (2023)A State-of-the-Art Review in Big Data Management Engineering: Real-Life Case Studies, Challenges, and Future Research Directions (2024)The AI-Powered Evolution of Big Data (2024)Bioconductor: open software development for computational biology and bioinformatics (2004)The big challenges of big data (2013)Bioconda: sustainable and comprehensive software distribution for the life sciences (2018)Successes and Struggles with Computational Reproducibility: Lessons from the Fragile Families Challenge (2019)A Practical Guide to Metabolomics Software Development (2021)The five pillars of computational reproducibility: bioinformatics and beyond (2023)Assessment of Course-Based Undergraduate Research Experiences: A Meeting Report (2014)The State of Software for Evolutionary Biology (2018)Reproducible image handling and analysis (2021)Streamlining data-intensive biology with workflow systems (2021)Investigating reproducibility and tracking provenance – A genomic workflow case study (2017)Nextflow enables reproducible computational workflows (2017)Singularity: Scientific containers for mobility of compute (2017)Containers for computational reproducibility (2023)Applying the FAIR Principles to computational workflows (2025)The World’s Technological Capacity to Store, Communicate, and Compute Information (2011)A formal definition of Big Data based on its essential features (2016)A Delphi study to build consensus on the definition and use of big data in obesity research (2019)Trends in the Use of Promotional Language (Hype) in Abstracts of Successful National Institutes of Health Grant Applications, 1985-2020 (2022)Appraising Unmet Needs and Misinformation Spread About Polycystic Ovary Syndrome in 85,872 YouTube Comments Over 12 Years: Big Data Infodemiology Study (2023)Digital Biobanking and Big Data as a New Research Tool: A Position Paper (2023)The Galaxy platform for accessible, reproducible and collaborative biomedical analyses: 2018 update (2018)The nf-core framework for community-curated bioinformatics pipelines (2020)Spatial machine learning: new opportunities for regional science (2021)An AI Agent for Fully Automated Multi‐Omic Analyses (2024)Empowering bioinformatics communities with Nextflow and nf-core (2025)Galaxy: a comprehensive approach for supporting accessible, reproducible, and transparent computational research in the life sciences (2010)CanDIG: Federated network across Canada for multi-omic and health data discovery and analysis (2021)From biomedical cloud platforms to microservices: next steps in FAIR data and analysis (2022)Galaxy for accessible, reproducible, and collaborative data analyses: 2026 update (2026)
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  • 2018Situating Ecology as a Big-Data Science: Current Advances, Challenges, and Solutions331 cited
  • 2019A Roadmap for HEP Software and Computing R&D for the 2020s235 cited
  • 2021Reproducible, scalable, and shareable analysis pipelines with bioinformatics workflow managers228 cited
  • 2017Unmet needs for analyzing biological big data: A survey of 704 NSF principal investigators156 cited
  • 2015The European Bioinformatics Institute in 2016: Data growth and integration147 cited
  • 2022Inverting the model of genomics data sharing with the NHGRI Genomic Data Science Analysis, Visualization, and Informatics Lab-space143 cited
  • 2018A study of big data evolution and research challenges129 cited
  • 2020A review of big data and medical research95 cited
  • 2019Challenges and recommendations to improve the installability and archival stability of omics computational tools90 cited
  • 2019Sharing interoperable workflow provenance: A review of best practices and their practical application in CWLProv81 cited
  • 2016“Strictly Biomedical? Sketching the Ethics of the Big Data Ecosystem in Biomedicine”67 cited
  • 2019Genomics and data science: an application within an umbrella62 cited
  • 2020ELIXIR-IT HPC@CINECA: high performance computing resources for the bioinformatics community57 cited

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  • 2017Data Canopy45 cited
  • 2021Design considerations for workflow management systems use in production genomics research and the clinic43 cited
  • 2019SciPipe: A workflow library for agile development of complex and dynamic bioinformatics pipelines43 cited