SZodixStudyAcademic Library
ShelvesOpen access
Study · an open academic library·Metadata from OpenAlex (CC0)·Shelves·OpenAlex metadata, de-duplicated
Can reproducibility be improved in clinical natural language processing? A study of 7 clinical NLP suites
16 references·1 citing·29 second hop
Can reproducibility be improved in clinical natural language processing? A study of 7 clinical NLP suites (2020)Can reproducibility be improved in clinic…The nf-core framework for community-curated bioinformatics pipelines (2020)The nf-core framework for com…Sharing interoperable workflow provenance: A review of best practices and their practical application in CWLProv (2019)Sharing interoperable workflo…Re-run, Repeat, Reproduce, Reuse, Replicate: Transforming Code into Scientific Contributions (2018)Re-run, Repeat, Reproduce, Re…PRISMA Extension for Scoping Reviews (PRISMA-ScR): Checklist and Explanation (2018)PRISMA Extension for Scoping …PhenoMeNal: processing and analysis of metabolomics data in the cloud (2018)PhenoMeNal: processing and an…Ten simple rules for making research software more robust (2017)Ten simple rules for making r…Singularity: Scientific containers for mobility of compute (2017)Singularity: Scientific conta…Scientific workflows for computational reproducibility in the life sciences: Status, challenges and opportunities (2017)Scientific workflows for comp…Nextflow enables reproducible computational workflows (2017)Nextflow enables reproducible…BioContainers: an open-source and community-driven framework for software standardization (2017)BioContainers: an open-source…The Galaxy platform for accessible, reproducible and collaborative biomedical analyses: 2016 update (2016)The Galaxy platform for acces…Repeatability in computer systems research (2016)Repeatability in computer sys…1,500 scientists lift the lid on reproducibility (2016)1,500 scientists lift the lid…Ten Simple Rules for Reproducible Computational Research (2013)Ten Simple Rules for Reproduc…Snakemake—a scalable bioinformatics workflow engine (2012)Snakemake—a scalable bioinfor…A Quick Guide to Organizing Computational Biology Projects (2009)A Quick Guide to Organizing C…Building Domain-Specific Machine Learning Workflows: A Conceptual Framework for the State of the Practice (2023)Building Domain-Specific Mach…Taverna: a tool for the composition and enactment of bioinformatics workflows (2004)Galaxy: A platform for interactive large-scale genome analysis (2005)Galaxy: a comprehensive approach for supporting accessible, reproducible, and transparent computational research in the life sciences (2010)Reproducibility in Science (2014)Good enough practices in scientific computing. (2017)Preferred reporting items for systematic reviews and meta‐analyses in ecology and evolutionary biology: a PRISMA extension (2021)Reproducible research in signal processing (2009)Sustainable computational science: the ReScience initiative (2017)Reproducible research and GIScience: an evaluation using AGILE conference papers (2018)Threats of a replication crisis in empirical computer science (2020)The Taverna workflow suite: designing and executing workflows of Web Services on the desktop, web or in the cloud (2013)Towards FAIR principles for research software (2019)Towards reproducible computational drug discovery (2020)Reproducible, scalable, and shareable analysis pipelines with bioinformatics workflow managers (2021)Reproducibility: A tragedy of errors (2016)The EMBL-EBI Job Dispatcher sequence analysis tools framework in 2024 (2024)Scoping studies: towards a methodological framework (2005)Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement (2009)Scoping studies: advancing the methodology (2010)The PRISMA 2020 statement: an updated guideline for reporting systematic reviews (2021)The PRISMA 2020 statement: an updated guideline for reporting systematic reviews (2021)The PRISMA 2020 statement: An updated guideline for reporting systematic reviews (2021)The Galaxy platform for accessible, reproducible and collaborative biomedical analyses: 2018 update (2018)DolphinNext: a distributed data processing platform for high throughput genomics (2020)An AI Agent for Fully Automated Multi‐Omic Analyses (2024)Bioconda: sustainable and comprehensive software distribution for the life sciences (2018)Sustainable data analysis with Snakemake (2021)What does research reproducibility mean? (2016)A manifesto for reproducible science (2017)
this work references cited by second hop

References

  • 2018PRISMA Extension for Scoping Reviews (PRISMA-ScR): Checklist and Explanation43,318 cited
  • 20161,500 scientists lift the lid on reproducibility4,200 cited
  • 2020The nf-core framework for community-curated bioinformatics pipelines4,089 cited
  • 2017Nextflow enables reproducible computational workflows3,985 cited
  • 2012Snakemake—a scalable bioinformatics workflow engine2,775 cited
  • 2017Singularity: Scientific containers for mobility of compute2,734 cited
  • 2016The Galaxy platform for accessible, reproducible and collaborative biomedical analyses: 2016 update2,149 cited
  • 2013Ten Simple Rules for Reproducible Computational Research875 cited
  • 2017BioContainers: an open-source and community-driven framework for software standardization798 cited
  • 2016Repeatability in computer systems research243 cited
  • 2017Scientific workflows for computational reproducibility in the life sciences: Status, challenges and opportunities181 cited
  • 2018PhenoMeNal: processing and analysis of metabolomics data in the cloud150 cited
  • 2017Ten simple rules for making research software more robust111 cited
  • 2009A Quick Guide to Organizing Computational Biology Projects95 cited
  • 2018Re-run, Repeat, Reproduce, Reuse, Replicate: Transforming Code into Scientific Contributions

Only edges whose both ends are imported exist here. Widen the year window, or show the whole map. Back to the work

93 cited
  • 2019Sharing interoperable workflow provenance: A review of best practices and their practical application in CWLProv81 cited
  • Cited by

    • 2023Building Domain-Specific Machine Learning Workflows: A Conceptual Framework for the State of the Practice10 cited