TL;DR
This paper demonstrates how GitHub, a platform for software collaboration, can be adapted to improve reproducibility, organization, and collaboration in laboratory research workflows, especially in molecular biology.
Contribution
It introduces a three-step framework for integrating GitHub into laboratory research, enhancing reproducibility and collaboration across research stages.
Findings
GitHub can effectively organize and document laboratory experiments.
The approach improves reproducibility of data analyses and experiments.
Scalable solution suitable for diverse research settings.
Abstract
Laboratory research is a complex, collaborative process that involves several stages, including hypothesis formulation, experimental design, data generation and analysis, and manuscript writing. Although reproducibility and data sharing are increasingly prioritized at the publication stage, integrating these principles at earlier stages of laboratory research has been hampered by the lack of broadly applicable solutions. Here, we propose that the workflow used in modern software development offers a robust framework for enhancing reproducibility and collaboration in laboratory research. In particular, we show that GitHub, a platform widely used for collaborative software projects, can be effectively adapted to organize and document all aspects of a research project's lifecycle in a molecular biology laboratory. We outline a three-step approach for incorporating the GitHub ecosystem into…
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