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Academic ResearchIntermediate

Scientific Skill: Ginkgo Cloud Lab

Submit and manage protocols on Ginkgo Bioworks Cloud Lab (cloud.ginkgo.bio), a web-based interface for autonomous lab execution on Reconfigurable Automation Carts (RACs). Use when the user wants to run cell-free protein expression (validation or o...

10 minutes
By K-Dense AISource
#scientific#claude-code#ginkgo-cloud-lab#visualization#database#protein#genomics
CLAUDE.md Template

Download this file and place it in your project folder to get started.

# Ginkgo Cloud Lab

## Overview

Ginkgo Cloud Lab (https://cloud.ginkgo.bio) provides remote access to Ginkgo Bioworks' autonomous lab infrastructure. Protocols are executed on Reconfigurable Automation Carts (RACs) -- modular units with robotic arms, maglev sample transport, and industrial-grade software spanning 70+ instruments.

The platform also includes **EstiMate**, an AI agent that accepts human-language protocol descriptions and returns feasibility assessments and pricing for custom workflows beyond the listed protocols.

## Available Protocols

### 1. Cell Free Protein Expression Validation

Rapid go/no-go expression screening using reconstituted E. coli CFPS. Submit a FASTA sequence (up to 1800 bp) and receive expression confirmation, baseline titer (mg/L), and initial purity with virtual gel images.

- **Price:** $39/sample | **Turnaround:** 5-10 days | **Status:** Certified
- **Details:** See [references/cell-free-protein-expression-validation.md](references/cell-free-protein-expression-validation.md)

### 2. Cell Free Protein Expression Optimization

DoE-based optimization across up to 24 conditions per protein (lysates, temperatures, chaperones, disulfide enhancers, cofactors). Designed for difficult-to-express and membrane proteins.

- **Price:** $199/sample | **Turnaround:** 6-11 days | **Status:** Certified
- **Details:** See [references/cell-free-protein-expression-optimization.md](references/cell-free-protein-expression-optimization.md)

### 3. Fluorescent Pixel Art Generation

Transform a pixel art image (48x48 to 96x96 px, PNG/SVG) into fluorescent bacterial artwork using up to 11 E. coli strains via acoustic dispensing. Delivered as high-res UV photographs.

- **Price:** $25/plate | **Turnaround:** 5-7 days | **Status:** Beta
- **Details:** See [references/fluorescent-pixel-art-generation.md](references/fluorescent-pixel-art-generation.md)

## General Ordering Workflow

1. Select a protocol at https://cloud.ginkgo.bio/protocols
2. Configure parameters (number of samples/proteins, replicates, plates)
3. Upload input files (FASTA for protein protocols, PNG/SVG for pixel art)
4. Add any special requirements in the Additional Details field
5. Submit and receive a feasibility report and price quote

For protocols not listed above, use the **EstiMate** chat to describe a custom protocol in plain language and receive compatibility assessment and pricing.

## Authentication

Access Ginkgo Cloud Lab at https://cloud.ginkgo.bio. Account creation or institutional access may be required. Contact Ginkgo at cloud@ginkgo.bio for access questions.

## Key Infrastructure

- **RACs (Reconfigurable Automation Carts):** Modular robotic units with high-precision arms and maglev transport
- **Catalyst Software:** Protocol orchestration, scheduling, parameterization, and real-time monitoring
- **70+ integrated instruments:** Sample prep, liquid handling, analytical readouts, storage, incubation
- **Nebula:** Ginkgo's autonomous lab facility in Boston, MA
README.md

What This Does

Ginkgo Cloud Lab (https://cloud.ginkgo.bio) provides remote access to Ginkgo Bioworks' autonomous lab infrastructure. Protocols are executed on Reconfigurable Automation Carts (RACs) -- modular units with robotic arms, maglev sample transport, and industrial-grade software spanning 70+ instruments.

The platform also includes EstiMate, an AI agent that accepts human-language protocol descriptions and returns feasibility assessments and pricing for custom workflows beyond the listed protocols.


Quick Start

Step 1: Create a Project Folder

mkdir -p ~/Projects/ginkgo-cloud-lab

Step 2: Download the Template

Click Download above, then:

mv ~/Downloads/CLAUDE.md ~/Projects/ginkgo-cloud-lab/

Step 3: Start Claude Code

cd ~/Projects/ginkgo-cloud-lab
claude

Available Protocols

1. Cell Free Protein Expression Validation

Rapid go/no-go expression screening using reconstituted E. coli CFPS. Submit a FASTA sequence (up to 1800 bp) and receive expression confirmation, baseline titer (mg/L), and initial purity with virtual gel images.

2. Cell Free Protein Expression Optimization

DoE-based optimization across up to 24 conditions per protein (lysates, temperatures, chaperones, disulfide enhancers, cofactors). Designed for difficult-to-express and membrane proteins.

3. Fluorescent Pixel Art Generation

Transform a pixel art image (48x48 to 96x96 px, PNG/SVG) into fluorescent bacterial artwork using up to 11 E. coli strains via acoustic dispensing. Delivered as high-res UV photographs.

General Ordering Workflow

  1. Select a protocol at https://cloud.ginkgo.bio/protocols
  2. Configure parameters (number of samples/proteins, replicates, plates)
  3. Upload input files (FASTA for protein protocols, PNG/SVG for pixel art)
  4. Add any special requirements in the Additional Details field
  5. Submit and receive a feasibility report and price quote

For protocols not listed above, use the EstiMate chat to describe a custom protocol in plain language and receive compatibility assessment and pricing.

Authentication

Access Ginkgo Cloud Lab at https://cloud.ginkgo.bio. Account creation or institutional access may be required. Contact Ginkgo at cloud@ginkgo.bio for access questions.

Key Infrastructure

  • RACs (Reconfigurable Automation Carts): Modular robotic units with high-precision arms and maglev transport
  • Catalyst Software: Protocol orchestration, scheduling, parameterization, and real-time monitoring
  • 70+ integrated instruments: Sample prep, liquid handling, analytical readouts, storage, incubation
  • Nebula: Ginkgo's autonomous lab facility in Boston, MA

Tips

  • Read the docs: Check the official ginkgo-cloud-lab documentation for latest API changes
  • Start simple: Begin with basic examples before tackling complex workflows
  • Save your work: Keep intermediate results in case of long-running analyses

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