- ⸻ 2026-03-02
Interactive visualization of multimodal and spatial data with Vitessce
The open-source tool Vitessce and Lamin now work together to manage & visualize multimodal and spatial single-cell data. It’s simple: define a Vitessce config in code, save it as an artifact, and share the interactive visualization along with your datasets on LaminHub.
- ⸻ 2026-02-27
Symbolic memory for biological R&D
What should the shared memory layer for agents and humans look like? Will it live in embeddings or in records? A high-level note.
- ⸻ 2024-04-03
MappedCollection: Weighted random sampling from large collections of scRNA-seq datasets
A few labs and companies now train models on large-scale scRNA-seq count matrices and related data modalities. But unlike for many other data types, there isn’t yet a playbook for data scales that don’t fit into memory.
- ⸻ 2022-08-29
nbproject: Manage Jupyter notebooks
nbproject is an open-source Python tool to help manage Jupyter notebooks with metadata, dependency, and integrity tracking. A draft-to-publish workflow creates more reproducible notebooks with context.
- ⸻ 2022-08-27
readfcs: Read FCS files
readfcs is a lightweight open-source Python package that loads data and metadata from Flow Cytometry Standard (FCS) files into DataFrame and AnnData objects, allowing users to flexibly use downstream analytical tools.
- ⸻ 2022-07-31
Key problems of data-heavy R&D
The complexity of modern R&D data often blocks realizing the scientific progress it promises.
- ⸻ 2022-05-04
Hello world!
We just launched lamin.ai as a place for sharing prototypes with our beta customers and collaborators. Over time, we’ll add public releases and use this blog to explain our work.