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Ten simple rules for quick and dirty scientific programming
16 references·1 citing·37 second hop
Ten simple rules for quick and dirty scientific programming (2021)Ten simple rules for quick and dirty scie…Ten simple rules for making research software more robust (2017)Ten simple rules for making r…Ten Simple Rules for Developing Usable Software in Computational Biology (2017)Ten Simple Rules for Developi…Nextflow enables reproducible computational workflows (2017)Nextflow enables reproducible…Good enough practices in scientific computing. (2017)Good enough practices in scie…Ten Simple Rules for Taking Advantage of Git and GitHub (2016)Ten Simple Rules for Taking A…Jupyter Notebooks – a publishing format for reproducible computational workflows (2016)Jupyter Notebooks – a publish…Best Practices for Scientific Computing (2014)Best Practices for Scientific…Ten Simple Rules for Reproducible Computational Research (2013)Ten Simple Rules for Reproduc…Ten Simple Rules for the Open Development of Scientific Software (2012)Ten Simple Rules for the Open…Snakemake—a scalable bioinformatics workflow engine (2012)Snakemake—a scalable bioinfor…Galaxy: A Web‐Based Genome Analysis Tool for Experimentalists (2010)Galaxy: A Web‐Based Genome An…A Scientist's Nightmare: Software Problem Leads to Five Retractions (2006)A Scientist's Nightmare: Soft…Head First Design Patterns (2004)Head First Design PatternsDesign Patterns: Elements of Reusable Object-Oriented Software (1994)Design Patterns: Elements of …The psychology of sunk cost (1985)The psychology of sunk costInvestigating the Not Invented Here (NIH) syndrome: A look at the performance, tenure, and communication patterns of 50 R & D Project Groups (1982)Investigating the Not Invente…A how-to guide for code sharing in biology (2024)A how-to guide for code shari…A Pattern Language (1977)The Anatomy of a Design Theory (2007)Socio-technical systems: From design methods to systems engineering (2010)Judgment under Uncertainty: Heuristics and Biases (1975)Prospect Theory: An Analysis of Decision under Risk (1979)Prospect theory: An analysis of decision under risk (1988)Individual differences in reasoning: Implications for the rationality debate? (2000)Heuristics and Biases: The Psychology of Intuitive Judgment (2004)Instructional manipulation checks: Detecting satisficing to increase statistical power (2009)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)Preferred reporting items for systematic reviews and meta‐analyses in ecology and evolutionary biology: a PRISMA extension (2021)The social psychology of organizing (1969)The Social Psychology of Organizations. (1979)Research in Organizational Behavior. (1986)Cultural influences on national rates of innovation (1993)MAXIMIZING CROSS-FUNCTIONAL NEW PRODUCT TEAMS' INNOVATIVENESS AND CONSTRAINT ADHERENCE: A CONFLICT COMMUNICATIONS PERSPECTIVE. (2001)Three‐dozen knowledge‐sharing barriers managers must consider (2005)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)The magical number seven, plus or minus two: Some limits on our capacity for processing information. (1956)The magical number seven, plus or minus two: Some limits on our capacity for processing information. (1994)Exploration and Explanation in Computational Notebooks (2018)Identifying and Overcoming Threats to Reproducibility, Replicability, Robustness, and Generalizability in Microbiome Research (2018)Launching genomics into the cloud: deployment of Mercury, a next generation sequence analysis pipeline (2014)Managing, Analysing, and Integrating Big Data in Medical Bioinformatics: Open Problems and Future Perspectives (2014)Towards reproducible computational drug discovery (2020)Bioconda: sustainable and comprehensive software distribution for the life sciences (2018)Sustainable data analysis with Snakemake (2021)Our path to better science in less time using open data science tools (2017)A Large-Scale Study About Quality and Reproducibility of Jupyter Notebooks (2019)Open science challenges, benefits and tips in early career and beyond (2019)The Galaxy platform for accessible, reproducible and collaborative biomedical analyses: 2020 update (2020)NeuroKit2: A Python toolbox for neurophysiological signal processing (2021)
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References

  • 1994Design Patterns: Elements of Reusable Object-Oriented Software21,704 cited
  • 2017Nextflow enables reproducible computational workflows3,985 cited
  • 2016Jupyter Notebooks – a publishing format for reproducible computational workflows3,069 cited
  • 2012Snakemake—a scalable bioinformatics workflow engine2,775 cited
  • 1985The psychology of sunk cost2,579 cited
  • 2010Galaxy: A Web‐Based Genome Analysis Tool for Experimentalists1,430 cited
  • 1982Investigating the Not Invented Here (NIH) syndrome: A look at the performance, tenure, and communication patterns of 50 R & D Project Groups1,410 cited
  • 2013Ten Simple Rules for Reproducible Computational Research875 cited
  • 2014Best Practices for Scientific Computing715 cited
  • 2017Good enough practices in scientific computing.452 cited
  • 2004Head First Design Patterns306 cited
  • 2016Ten Simple Rules for Taking Advantage of Git and GitHub231 cited
  • 2006A Scientist's Nightmare: Software Problem Leads to Five Retractions201 cited
  • 2012Ten Simple Rules for the Open Development of Scientific Software143 cited
  • 2017Ten simple rules for making research software more robust111 cited

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  • 2017Ten Simple Rules for Developing Usable Software in Computational Biology84 cited
  • Cited by

    • 2024A how-to guide for code sharing in biology9 cited