Reproducible analysis pipelines with targets

Join Us for a Special Event with Olivia Angelin-Bonnet!

We are thrilled to welcome Olivia Angelin-Bonnet, a statistical scientist at The New Zealand Institute for Plant and Food Research Limited.
She is a real-world practitioner focusing on data analysis and a professional plot-maker. She is passionate about Systems Biology, ‘omics data analysis and integration, and the study of biological networks from a statistical and computational perspective.

Topic:

Data science projects typically consist of complex, multi-step analyses, which leads to the development of multiple interdependent scripts, often involving intensive computations, and requiring manual execution. Ensuring reproducibility is crucial, not only for transparency and collaboration, but also for adapting to changes in input data and stakeholder feedback. In this talk, Olivia will show how to use the targets R package to turn analysis scripts into reproducible pipelines. By automatically tracking dependencies between the analysis steps, caching intermediate results, and detecting changes in data or code, targets streamlines code execution and ensures consistency between inputs, computations, and outputs. Attendees will learn how to integrate targets into their projects to improve the efficiency, reproducibility, and maintainability of their code.

We look forward to seeing you online or in-person :)

R-Ladies Sydney organisers
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