lamindb

Use this skill when working with LaminDB, an open-source data framework for biology that makes data queryable, traceable, reproducible, and FAIR. Apply it when managing biological datasets (scRNA-seq, spatial transcriptomics, flow cytometry, bulk RNA-seq, etc.), tracking computational workflows, curating and validating data with biological ontologies, building data lakehouses, or ensuring data lineage and reproducibility in biological research. Topics covered include data management, annotation, ontologies (genes, cell types, diseases, tissues), schema validation, integrations with workflow managers (Nextflow, Snakemake) and MLOps platforms (Weights & Biases, MLflow), and deployment strategies.