lamindb
LaminDB
Overview
LaminDB is an open-source data framework for biology designed to make data queryable, traceable, reproducible, and FAIR (Findable, Accessible, Interoperable, Reusable). It provides a unified platform that combines lakehouse architecture, lineage tracking, feature stores, biological ontologies, LIMS (Laboratory Information Management System), and ELN (Electronic Lab Notebook) capabilities through a single Python API.
Core Value Proposition:
- Queryability: Search and filter datasets by metadata, features, and ontology terms
- Traceability: Automatic lineage tracking from raw data through analysis to results
- Reproducibility: Version control for data, code, and environment
- FAIR Compliance: Standardized annotations using biological ontologies
When to Use This Skill
Use this skill when:
- Managing biological datasets: scRNA-seq, bulk RNA-seq, spatial transcriptomics, flow cytometry, multi-modal data, EHR data
- Tracking computational workflows: Notebooks, scripts, pipeline execution (Nextflow, Snakemake, Redun)
- Curating and validating data: Schema validation, standardization, ontology-based annotation
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