- ⸻ 2026-04-02
An introduction to LaminR
Any data scientist will tell you that a key to a successful project is strong data management. If your data are disorganized, you don’t know who did what, or you can’t reproduce results, it will come back to bite you and your team. Thus, teams should carefully plan how they handle, store, modify, and track data throughout a project. Here, we’ll be using an example from single-cell analysis to illustrate how the open-source LaminR package helps with traceability and reproducibility of data analyses in R.