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lamindb

Manages biological datasets and models

by k-dense-aiFree

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#1425in AI Skills
0In stores

Description

lamindb is an agent skill for managing biological datasets and models with LaminDB. It covers registering artefacts, curating DataFrame and…

Highlights

  • Artefact registration with lineage tracking
  • DataFrame and AnnData metadata curation
  • Schema validation
  • Bionty ontology annotation
  • Targets LaminDB 2.10.0 and Bionty 2.5.0

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lamindb FAQ

What is LaminDB used for?

Registering biological datasets and models, tracking which scripts produced them, and querying annotated artefacts.

Where is the metadata stored?

In SQLite or PostgreSQL. Files are kept in the storage you configure.

Does registering data make it FAIR?

No. The skill says registration alone does not establish scientific validity or FAIR compliance.

Which versions does it target?

LaminDB 2.10.0 and Bionty 2.5.0, tested on Python 3.12 with AnnData 0.13.2, which this release caps.

How do I install it?

Run npx skills add https://github.com/k-dense-ai/scientific-agent-skills --skill lamindb.

Is it checked for security?

Its security audits show passes from Gen Agent Trust Hub, Socket and Snyk.

What are the best lamindb alternatives?

Popular alternatives to lamindb include gget, ai-research-explore and ai-research-reproduction. See all lamindb alternatives

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