Coder Social home page Coder Social logo

dorado-docker-cwl's Introduction

tool-docker-cwl

This repository provides a Common Workflow Language (CWL) tool for running the dorado program. dorado is packaged in a Docker container, allowing it to run on any system with Docker or Singularity installed.

Prerequisites

To use this tool, you must have the following software installed on your system:

Installation

To install and run the tool, follow these steps:

  1. Clone this repository to your local machine.

  2. Install Docker, if you haven't already done so.

  3. (optional) Build the Docker image by running the following command from the root of the repository:

    docker build -f docker/Dockerfile -t dorado-docker-cwl .
    

    OR pull from the built container.

    docker pull ghcr.io/~user~/~tool-docker-cwl~:latest
    

    Note: this is only needed if you wish to access the container commands directly via docker.

  4. Run the CWL tool by running the following command from the root of the repository:

    cwl-runner <tool>.cwl <tool>.yml
    

    OR

    cwl-runner --singularity <tool>.cwl <tool>.yml
    

    This will run the software on the input sequence specified in the <tool>.yml file.

Usage

To use the tool, you will need to create a YAML file specifying the input sequence and any other parameters you wish to specify. An example YAML file is provided in the example directory of this repository.

The <tool>.cwl file is the main workflow file that describes the steps of the analysis. The <tool>.yaml file is an example input file that specifies the input and any other options you wish to specify. The <tool>.cwl file includes the docker specification. You can also use Singularity via the cwl-runner option --singularity

The output of the analysis will be written to a directory named output in the current working directory.

Contributing

If you wish to contribute to this project, please follow the standard GitHub workflow:

  1. Fork the repository
  2. Create a new branch for your changes
  3. Make your changes and commit them
  4. Push your changes to your fork
  5. Submit a pull request to this repository

License

This project is licensed under the MIT License.

Contact

If you have any questions or feedback, please contact the author via GitHub.

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    ๐Ÿ–– Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. ๐Ÿ“Š๐Ÿ“ˆ๐ŸŽ‰

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google โค๏ธ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.