Open data framework for biology. Context and memory for datasets and models at scale.
Lamin
Existing data infrastructure can't make sparse measurements across millions of features queryable. Warehouses are too rigid, data lakes can't be queried, tabular lakehouses don't understand the formats. Biology needs a data lakehouse with support for bio-formats and registries.
Two years ago we partnered with Mark Keller from Nils Gehlenborg’s Lab at Harvard to make Vitessce work seamlessly with LaminDB for interactive visualization of multimodal + spatial datasets.
What should the shared memory layer for agents and humans look like?
Will it live in embeddings or in records?
A high-level note.
Lamin
Jesse is both a technical expert — having led data platform work across Google, Verily, Sanofi, Cellarity, and others — and a thoughtful analyst at the interface of biology, AI, and data infrastructure.
We partnered with @jejomath.bsky.social to help us explain the relation between biology’s sparse measurements and the data lakehouse concept.
Alex Wolf
Alex Wolf
Read the full post: blog.lamin.ai/sparse-measu...
LaminR 📦 has been officially announced! This is a project @rcannood.bsky.social and I have worked on to create an R client for @laminlabs.bsky.social.
📦 Repo github.com/laminlabs/la...
Announcement blog blog.lamin.ai/intro-to-lam...
DI blog www.data-intuitive.com/insights/blo...
Lamin
Lamin
An R package for working with LaminDB instances. Contribute to laminlabs/laminr development by creating an account on GitHub.
