Uploaded August 2024 | Updated September 2026, 1 week ago
Shiny Gatherings session hosted by Aga Rasińska (Bioinformatician, Delivery Manager at Appsilon).
In this recording, we explore data analysis pipelines, advantages and limitations of {targets} and Nextflow in the life sciences, focusing on a real-world example: a single-cell transcriptomics pipeline.
The agenda includes:
- Introduction to data analysis pipelines (10 min)
- Coding session (30 min)
- Q&A (20 min): Time for all your questions and discussion.
Don't miss this opportunity to improve your data analysis pipelines in life science projects!
Shiny Gatherings session hosted by Aga Rasińska (Bioinformatician, Delivery Manager at Appsilon).
In this recording, we explore data analysis pipelines, advantages and limitations of {targets} and Nextflow in the life sciences, focusing on a real-world example: a single-cell transcriptomics pipeline.
The agenda includes:
- Introduction to data analysis pipelines (10 min)
- Coding session (30 min)
- Q&A (20 min): Time for all your questions and discussion.
Don't miss this opportunity to improve your data analysis pipelines in life science projects!


 and [ffverse](https://ffverse.com), maintain [nflverse](https://github.com/nflverse) data and packages, and mentor at [R4DS Slack Community](https://r4ds.io). Away from my keyboard, I enjoy skiing ⛷, lifting weights 🏋️, rowing 🚣️, and hanging out with my dog Jasper 🐶 Tan Ho: DIY Pest Control: Effectively Debugging Shiny Apps](https://i.ytimg.com/vi/x764Y1qz_iQ/mqdefault.jpg)






