Manages biological datasets with full lineage tracking, ontology-based validation, and FAIR compliance.
LaminDB is a specialized skill for managing complex biological data within a queryable lakehouse architecture. It streamlines the creation of reproducible research by providing automated data lineage, versioning for code and data, and seamless integration with biological ontologies through Bionty. This skill is essential for researchers and bioinformaticians who need to ensure their datasets are Findable, Accessible, Interoperable, and Reusable (FAIR) while maintaining strict computational provenance across single-cell, spatial, and multi-modal workflows.
주요 기능
011 GitHub stars
02Seamless integration with workflow managers like Nextflow and MLOps platforms
03Biological ontology integration for standardized annotation (genes, cell types, diseases)
04Unified query interface for multi-modal biological datasets and lakehouses
05Automated data lineage and provenance tracking for computational workflows
06Data validation and curation using flexible or strict schemas
사용 사례
01Validating and annotating single-cell RNA-seq datasets with standardized cell type ontologies
02Building a searchable data lakehouse for cross-study biological data exploration
03Ensuring computational reproducibility in ML-driven drug discovery pipelines
