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BioContainers Registry: Searching Bioinformatics and Proteomics Tools, Packages, and Containers
14 references·3 citing·32 second hop
BioContainers Registry: Searching Bioinformatics and Proteomics Tools, Packages, and Containers (2021)BioContainers Registry: Searching Bioinfo…Ten simple rules for writing Dockerfiles for reproducible data science (2020)Ten simple rules for writing …The bio.tools registry of software tools and data resources for the life sciences (2019)The bio.tools registry of sof…Scalable Data Analysis in Proteomics and Metabolomics Using BioContainers and Workflows Engines (2019)Scalable Data Analysis in Pro…Recommendations for the packaging and containerizing of bioinformatics software (2019)Recommendations for the packa…The Galaxy platform for accessible, reproducible and collaborative biomedical analyses: 2018 update (2018)The Galaxy platform for acces…Snakemake—a scalable bioinformatics workflow engine (2018)Snakemake—a scalable bioinfor…Recommendations for the packaging and containerizing of bioinformatics software (2018)Recommendations for the packa…Bioconda: sustainable and comprehensive software distribution for the life sciences (2018)Bioconda: sustainable and com…The Dockstore: enabling modular, community-focused sharing of Docker-based genomics tools and workflows (2017)The Dockstore: enabling modul…Singularity: Scientific containers for mobility of compute (2017)Singularity: Scientific conta…Nextflow enables reproducible computational workflows (2017)Nextflow enables reproducible…Four simple recommendations to encourage best practices in research software (2017)Four simple recommendations t…BioContainers: an open-source and community-driven framework for software standardization (2017)BioContainers: an open-source…Snakemake—a scalable bioinformatics workflow engine (2012)Snakemake—a scalable bioinfor…Accelerating bioinformatics implementation in public health (2023)Accelerating bioinformatics i…Perspectives on automated composition of workflows in the life sciences (2021)Perspectives on automated com…Cloudy with a Chance of Peptides: Accessibility, Scalability, and Reproducibility with Cloud-Hosted Environments (2021)Cloudy with a Chance of Pepti…Galaxy: a comprehensive approach for supporting accessible, reproducible, and transparent computational research in the life sciences (2010)Sustainable data analysis with Snakemake (2021)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 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 nf-core framework for community-curated bioinformatics pipelines (2020)The EMBL-EBI Job Dispatcher sequence analysis tools framework in 2024 (2024)Best Practices for Scientific Computing (2014)Promoting an open research culture (2015)How open science helps researchers succeed (2016)Challenges and recommendations to improve the installability and archival stability of omics computational tools (2019)A large-scale study on research code quality and execution (2022)1,500 scientists lift the lid on reproducibility (2016)A manifesto for reproducible science (2017)The Galaxy platform for accessible, reproducible, and collaborative data analyses: 2024 update (2024)Galaxy: A platform for interactive large-scale genome analysis (2005)Sustainable data analysis with Snakemake (2021)Tools and data services registry: a community effort to document bioinformatics resources (2015)Developing and reusing bioinformatics data analysis pipelines using scientific workflow systems (2023)Ten quick tips for building FAIR workflows (2023)WorkflowHub: a registry for computational workflows (2025)Ten Simple Rules for Reproducible Computational Research (2013)An introduction to Docker for reproducible research (2015)Consensus-based guidance for conducting and reporting multi-analyst studies (2021)Containers for computational reproducibility (2023)The five pillars of computational reproducibility: bioinformatics and beyond (2023)Bioinformatics software development: Principles and future directions (2024)Validity constraints for data analysis workflows (2024)Empowering bioinformatics communities with Nextflow and nf-core (2025)
this work references cited by second hop

References

  • 2017Nextflow enables reproducible computational workflows3,985 cited
  • 2018The Galaxy platform for accessible, reproducible and collaborative biomedical analyses: 2018 update3,659 cited
  • 2012Snakemake—a scalable bioinformatics workflow engine2,775 cited
  • 2017Singularity: Scientific containers for mobility of compute2,734 cited
  • 2018Bioconda: sustainable and comprehensive software distribution for the life sciences1,652 cited
  • 2017BioContainers: an open-source and community-driven framework for software standardization798 cited
  • 2018Snakemake—a scalable bioinformatics workflow engine310 cited
  • 2017Four simple recommendations to encourage best practices in research software140 cited
  • 2020Ten simple rules for writing Dockerfiles for reproducible data science107 cited
  • 2019The bio.tools registry of software tools and data resources for the life sciences88 cited
  • 2017The Dockstore: enabling modular, community-focused sharing of Docker-based genomics tools and workflows83 cited
  • 2019Recommendations for the packaging and containerizing of bioinformatics software50 cited
  • 2019Scalable Data Analysis in Proteomics and Metabolomics Using BioContainers and Workflows Engines39 cited
  • 2018Recommendations for the packaging and containerizing of bioinformatics software38 cited

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Cited by

  • 2023Accelerating bioinformatics implementation in public health26 cited
  • 2021Perspectives on automated composition of workflows in the life sciences18 cited
  • 2021Cloudy with a Chance of Peptides: Accessibility, Scalability, and Reproducibility with Cloud-Hosted Environments10 cited