alterlab-lamindb

You can track data lineage for scRNA-seq workflows by capturing artifacts, records, runs, and transforms automatically. This framework ensures provenance and reproducibility for multi-omics analyses.

Manage biological data assets with ontology annotations by integrating Bionty for standardized metadata. This approach provides schema designs and cross-registry traversal for queryable data governance.

Query and validate clinical datasets using registry exploration and feature-based queries. This provides standardized metadata, automatic lineage capture, and FAIR data governance for reproducibility.

You need to install LaminDB to build a queryable data lakehouse, but deployment supports local to cloud environments. Optional modules like bionty extend ontology integration for your specific needs.

You can integrate workflow managers and ML platforms with biological data registries through cross-tool integrations. This supports streaming, cloud storage connections, and cross-registry traversal for complex analyses.