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Custom Studios Examples

This repository contains example Dockerfiles and configurations for custom Seqera Studio applications. Each example demonstrates how to create and deploy different types of interactive applications in Seqera Studios.

Available Examples

  • Marimo - A reactive Python notebook environment
  • CellxGene - Interactive single-cell data visualization
  • Streamlit - MultiQC visualization using Streamlit
  • Shiny - Interactive data visualization with R Shiny
  • TTYD - Interactive web-based terminal with bioinformatics tools

Prerequisites

All examples in this repository require:

  • Docker installed
  • Wave configured in your Seqera Platform workspace
  • Access to a container registry (public or Amazon ECR) for pushing your images

Common Features

All examples in this repository:

  • Are compatible with both local Docker testing and Seqera Studios
  • Use the required Seqera base image and connect-client
  • Include detailed setup and usage instructions
  • Support data mounting via datalinks in Studios
  • Are built for linux/amd64 platform compatibility
  • Use multi-stage builds to include the connect-client
  • Follow consistent container best practices

Deploying to Seqera Studios

All examples follow the same deployment process:

  1. Select the Studios tab in your workspace
  2. Click Add Studio
  3. In the General config section:
    • Select Prebuilt container image as the container template
    • Enter your container image URI (e.g., cr.seqera.io/scidev/your-example)
    • Set a Studio name and optional Description
  4. Configure compute resources in the Compute and Data section:
    • Select your compute environment
    • Adjust CPU, GPU, and memory allocations as needed
    • Mount any required data using the Mount data option
  5. Review the configuration in the Summary section
  6. Click Add and start to create and launch the Studio

Documentation

Contributing

Feel free to contribute new examples or improvements to existing ones. Each example should:

  • Follow the established README structure
  • Include comprehensive documentation
  • Maintain consistency with common features
  • Provide clear prerequisites and deployment instructions
  • Include example data or clear data requirements

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This repository contains examples of Dockerfiles for custom Seqera studio applications.

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