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Towards Reproducible Bioinformatics: The OpenBio-C Scientific Workflow Environment
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Towards Reproducible Bioinformatics: The OpenBio-C Scientific Workflow Environment (2019)Towards Reproducible Bioinformatics: The …From Big Data to Precision Medicine (2019)From Big Data to Precision Me…Modelling science trustworthiness under publish or perish pressure (2018)Modelling science trustworthi…Nextflow enables reproducible computational workflows (2017)Nextflow enables reproducible…A manifesto for reproducible science (2017)A manifesto for reproducible …A review of bioinformatic pipeline frameworks (2016)A review of bioinformatic pip…Growth rates of modern science: A bibliometric analysis based on the number of publications and cited references (2015)Growth rates of modern scienc…Big Data: Astronomical or Genomical? (2015)Big Data: Astronomical or Gen…An introduction to Docker for reproducible research (2015)An introduction to Docker for…The Taverna workflow suite: designing and executing workflows of Web Services on the desktop, web or in the cloud (2013)The Taverna workflow suite: d…The big challenges of big data (2013)The big challenges of big dataFundamentals of Argumentation Theory (2013)Fundamentals of Argumentation…Snakemake—a scalable bioinformatics workflow engine (2012)Snakemake—a scalable bioinfor…Believe it or not: how much can we rely on published data on potential drug targets? (2011)Believe it or not: how much c…myExperiment: a repository and social network for the sharing of bioinformatics workflows (2010)myExperiment: a repository an…Galaxy: A platform for interactive large-scale genome analysis (2005)Galaxy: A platform for intera…Fundamentals of Argumentation Theory: A Handbook of Historical Backgrounds and Contemporary Developments (1997)Fundamentals of Argumentation…Reproducible Research in Computational Science (2011)Computational Reproducibility in Archaeological Research: Basic Principles and a Case Study of Their Implementation (2016)Scientific workflows for computational reproducibility in the life sciences: Status, challenges and opportunities (2017)Automated assessment of psychiatric disorders using speech: A systematic review (2020)Networks of Scientific Papers (1965)Scientific peer review (2011)The natural selection of bad science (2016)An open source machine learning framework for efficient and transparent systematic reviews (2021)Papers and patents are becoming less disruptive over time (2023)Why Most Published Research Findings Are False (2005)Increasing value and reducing waste in research design, conduct, and analysis (2014)The Mass Production of Redundant, Misleading, and Conflicted Systematic Reviews and Meta‐analyses (2016)Evaluating the replicability of social science experiments in Nature and Science between 2010 and 2015 (2018)Galaxy: a comprehensive approach for supporting accessible, reproducible, and transparent computational research in the life sciences (2010)Bioconda: sustainable and comprehensive software distribution for the life sciences (2018)Sustainable data analysis with Snakemake (2021)The PRISMA Statement for Reporting Systematic Reviews and Meta-Analyses of Studies That Evaluate Health Care Interventions: Explanation and Elaboration (2009)CONSORT 2010 Statement: updated guidelines for reporting parallel group randomised trials (2010)Preferred reporting items for systematic review and meta-analysis protocols (PRISMA-P) 2015: elaboration and explanation (2015)The preregistration revolution (2018)Reproducibility: A tragedy of errors (2016)The nf-core framework for community-curated bioinformatics pipelines (2020)The EMBL-EBI Job Dispatcher sequence analysis tools framework in 2024 (2024)?Doing the lesson? or ?doing science?: Argument in high school genetics (2000)Supporting and Promoting Argumentation Discourse in Science Education (2002)A systematic theory of argumentation : the pragma-dialectical approach. (2004)Visualizing and interacting with large-volume biodiversity data using client–server web-mapping applications: The design and implementation of antmaps.org (2016)Next-Generation Big Data Analytics: State of the Art, Challenges, and Future Research Topics (2017)From conventional group decision making to large-scale group decision making: What are the challenges and how to meet them in big data era? A state-of-the-art survey (2019)Situating Ecology as a Big-Data Science: Current Advances, Challenges, and Solutions (2018)A Roadmap for HEP Software and Computing R&D for the 2020s (2019)Reproducible, scalable, and shareable analysis pipelines with bioinformatics workflow managers (2021)The Galaxy platform for accessible, reproducible and collaborative biomedical analyses: 2016 update (2016)The Galaxy platform for accessible, reproducible and collaborative biomedical analyses: 2018 update (2018)The Galaxy platform for accessible, reproducible and collaborative biomedical analyses: 2022 update (2022)
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References

  • 2017Nextflow enables reproducible computational workflows3,985 cited
  • 2017A manifesto for reproducible science3,368 cited
  • 2012Snakemake—a scalable bioinformatics workflow engine2,775 cited
  • 2005Galaxy: A platform for interactive large-scale genome analysis2,027 cited
  • 2011Believe it or not: how much can we rely on published data on potential drug targets?1,885 cited
  • 2015Growth rates of modern science: A bibliometric analysis based on the number of publications and cited references1,570 cited
  • 2015Big Data: Astronomical or Genomical?1,340 cited
  • 2013The big challenges of big data1,232 cited
  • 2015An introduction to Docker for reproducible research1,058 cited
  • 2013Fundamentals of Argumentation Theory807 cited
  • 2013The Taverna workflow suite: designing and executing workflows of Web Services on the desktop, web or in the cloud678 cited
  • 1997Fundamentals of Argumentation Theory: A Handbook of Historical Backgrounds and Contemporary Developments553 cited
  • 2019From Big Data to Precision Medicine465 cited
  • 2010myExperiment: a repository and social network for the sharing of bioinformatics workflows299 cited
  • 2016A review of bioinformatic pipeline frameworks

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  • 2018Modelling science trustworthiness under publish or perish pressure225 cited
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