lamindb-data-management

Name: lamindb-data-management
Availability: InStock
Author: jaechang-hits

Manage, version, and trace biological data artifacts with ontology validation.

298|27|Updated Feb 18, 2026

Search Tags:#ontology #data management #bioinformatics #lineage tracking #reproducibility #FAIR data

Ready to run

npx skills add https://github.com/jaechang-hits/SciAgent-Skills --skill lamindb-data-management

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: lamindb-data-management
Source: https://github.com/jaechang-hits/SciAgent-Skills/tree/main/skills/systems-biology-multiomics/lamindb-data-management
Command: npx skills add https://github.com/jaechang-hits/SciAgent-Skills --skill lamindb-data-management

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires lamindb, bionty, pandas, anndata, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill addresses the challenge of managing, versioning, and tracing biological data, ensuring it is Findable, Accessible, Interoperable, and Reusable (FAIR).

Core Features & Use Cases

Data Versioning: Track changes to datasets (AnnData, DataFrames, etc.) with automatic versioning.
Lineage Tracking: Record the computational steps and code that produced each data artifact.
Ontology Integration: Validate and standardize data using biological ontologies (e.g., cell types, genes).
Use Case: A researcher can use this Skill to manage multiple batches of single-cell RNA sequencing data, ensuring that each version is linked to the specific analysis pipeline and parameters used, making results reproducible.

Quick Start

Use the lamindb-data-management skill to save an AnnData object named 'my_adata' as a versioned artifact with the key 'scrna/batch1.h5ad'.

Frequently Asked Questions about lamindb-data-management

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I track lineage for single-cell RNA sequencing data to ensure reproducibility?▼

Lineage tracking for single-cell RNA sequencing data records the computational steps and code producing each artifact. This framework links specific analysis pipelines and parameters to versioned datasets, ensuring scientific results remain reproducible across multiple data batches.

What is the best way to manage versioned biological data artifacts in a data lakehouse?▼

Managing versioned biological data artifacts in a data lakehouse involves tracking changes to datasets like AnnData and DataFrames with automatic versioning. This framework provides the necessary architecture to trace each artifact back to its producing pipeline.

Can I use biological ontologies to validate and standardize bioinformatics datasets?▼

Validating and standardizing bioinformatics datasets with biological ontologies ensures data interoperability. This framework integrates directly with ontologies for cell types and genes, allowing researchers to validate biological data artifacts against established standards.

Do I need AnnData and pandas to implement FAIR data management for bioinformatics?▼

Implementing FAIR data management for bioinformatics requires handling specific data formats like AnnData and pandas DataFrames. These dependencies are necessary for the framework to save, version, and trace biological data artifacts effectively.

Does this data management framework work with workflow managers for biological data?▼

This data management framework integrates with workflow managers to support reproducible scientific research. By combining workflow integration with lineage tracking, it connects computational steps directly to the versioned biological data artifacts they produce.

What limitations exist when tracking computational lineage for bioinformatics pipelines?▼

Tracking computational lineage for bioinformatics pipelines requires consistent use of the framework across all analysis steps. If external pipeline stages bypass the data lakehouse architecture, the lineage chain breaks, preventing full reproducibility of the biological data artifacts.