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.

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.

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.

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.

Key problems of data-heavy R&D

The complexity of modern R&D data often blocks realizing the scientific progress it promises.

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.