benchling-integration

Topics in the source

• Benchling Integration
• Overview
• When to Use This Skill
• Core Capabilities
• 1. Authentication & Setup
• 2. Registry & Entity Management
• 3. Inventory Management
• 4. Notebook & Documentation

Benchling is a cloud platform for life sciences R&D. Access registry entities (DNA, proteins), inventory, electronic lab notebooks, and workflows programmatically via Python SDK and REST API. 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 Python SDK Installation: Authentication Methods: API Key Authentication (recommended for scripts): OAuth Client Credentials (for apps): Key Points: API keys are obtained from Profile Settings in Benchling Store credentials securely (use environment variables or password managers) All API requests require HTTPS Authentication permissions mirror user permissions in the UI For detailed authentication information including OIDC and security best practices, refer to references/authentication.md. Registry entities in

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