lamindb

What problem does it solve?

This Skill addresses the challenge of managing complex biological datasets, ensuring they are queryable, traceable, reproducible, and FAIR (Findable, Accessible, Interoperable, Reusable).

Core Features & Use Cases

• Data Management: Organize, version, and query diverse biological data types (scRNA-seq, spatial, etc.).
• Lineage Tracking: Automatically track computational workflows and data provenance.
• Ontology Integration: Standardize annotations using biological ontologies (genes, cell types, diseases).
• Use Case: A researcher needs to analyze scRNA-seq data, track the analysis pipeline, and ensure all metadata is standardized using gene and cell type ontologies for reproducibility. This Skill provides the framework to achieve this.

Quick Start

Use the lamindb skill to initialize a new LaminDB instance with S3 storage and PostgreSQL.