benchling-integration

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Benchling Python SDK and REST API integration for registry entities, inventory, ELN entries, workflows, Benchling Apps, and Data Warehouse queries. Use when automating lab data with benchling-sdk or the v2 API.

AI & Automation 34,350 stars 3330 forks Updated yesterday MIT

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Skill Content

# Benchling Integration ## Overview Benchling is a cloud platform for life sciences R&D. Access registry entities (DNA, RNA, proteins), inventory, electronic lab notebooks, and workflows programmatically via the Python SDK and REST API. **Version note:** Examples target **benchling-sdk 1.25.0** (latest stable on PyPI). Docs: [benchling.com/sdk-docs](https://benchling.com/sdk-docs/). Platform guide: [docs.benchling.com](https://docs.benchling.com/). ## When to Use This Skill This skill should be used when: - Working with Benchling's Python SDK or REST API - Managing biological sequences (DNA, RNA, proteins) and registry entities - Automating inventory operations (samples, containers, locations, transfers) - Creating or querying electronic lab notebook entries - Building workflow automations or Benchling Apps - Syncing data between Benchling and external systems - Querying the Benchling Data Warehouse for analytics - Setting up event-driven integrations with AWS EventBridge ## Core Capabilities Seven capability areas, each with code, are in [references/core_capabilities.md](references/core_capabilities.md): 1. **Authentication and setup** — API key and OAuth app auth; see [references/authentication.md](references/authentication.md). 2. **Registry and entity management** — DNA and AA sequences, custom entities, schemas, and registration. 3. **Inventory management** — containers, boxes, plates, locations, and transfers. 4. **Notebook and documentation** — entries, d...

Details

Author
K-Dense-AI
Repository
K-Dense-AI/scientific-agent-skills
Created
10 months ago
Last Updated
yesterday
Language
Python
License
MIT

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