What problem does it solve?
LaminDB removes the manual overhead of making biological datasets, models, and analysis runs traceable, queryable, and reproducible. It helps you keep provenance, validation, and annotations connected so experiments do not become disconnected files and notebooks.
Core Features & Use Cases
- Lineage tracking: Record inputs, outputs, parameters, code, and environments for notebooks, scripts, functions, and pipelines.
- Data validation and annotation: Validate DataFrame, AnnData, MuData, SpatialData, and TileDB-SOMA objects with schemas and ontology-backed metadata.
- Queryable storage: Register artifacts, search by features, browse collections, and manage local or cloud-backed storage with versioning.
- Use case: A researcher curates single-cell RNA-seq data, standardizes cell types with Bionty, saves a validated artifact, and later retrieves all datasets linked to the same workflow or ontology term.
Quick Start
Ask the assistant to help you set up LaminDB for a biological data workflow, validate a dataset, and register it with lineage and ontology annotations.