common-workflow-language.github.io

Common Workflow Language

The Common Workflow Language (CWL) is an informal, multi-vendor working group consisting of various organizations and individuals that have an interest in portability of data analysis workflows. Our goal is to create specifications that enable data scientists to describe analysis tools and workflows that are powerful, easy to use, portable, and support reproducibility. CWL builds on technologies such as JSON-LD. For data modeling and Docker. For portable runtime environments. The CWL effort is on Github:.

http://common-workflow-language.github.io/

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Common Workflow Language | common-workflow-language.github.io Reviews

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The Common Workflow Language (CWL) is an informal, multi-vendor working group consisting of various organizations and individuals that have an interest in portability of data analysis workflows. Our goal is to create specifications that enable data scientists to describe analysis tools and workflows that are powerful, easy to use, portable, and support reproducibility. CWL builds on technologies such as JSON-LD. For data modeling and Docker. For portable runtime environments. The CWL effort is on Github:.

<META> KEYWORDS

1 common workflow language

2 cwl specification

3 implementations

4 examples

5 development and testing

6 community and contributing

7 participating organizations

8 individual contributors

9 and avro

10 reference implementation python

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Common Workflow Language | common-workflow-language.github.io Reviews

https://common-workflow-language.github.io

The Common Workflow Language (CWL) is an informal, multi-vendor working group consisting of various organizations and individuals that have an interest in portability of data analysis workflows. Our goal is to create specifications that enable data scientists to describe analysis tools and workflows that are powerful, easy to use, portable, and support reproducibility. CWL builds on technologies such as JSON-LD. For data modeling and Docker. For portable runtime environments. The CWL effort is on Github:.

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blog.sbgenomics.com

Docker-based solutions to reproducibility in science - Seven Bridges

https://blog.sbgenomics.com/docker-based-solutions-to-reproducibility-in-science

The Seven Bridges Platform. Docker-based solutions to reproducibility in science. June 22, 2015. Seven Bridges Genomics is launching a toolkit for creating fully portable bioinformatics workflows, based on Docker. And the Common Workflow Language. With high-profile cases of data fabrication recently in the news, the New York Times asks. The case reported in the New York Times centered on a paper by Lacour and Green. The paper claimed that, remarkably, people’s attitudes towards same-sex marriage coul...

ngless.readthedocs.io

Frequently Asked Questions — ngless 0.0 documentation

http://ngless.readthedocs.io/en/latest/faq.html

Taxonomic profiling using mOTUs with ngless. Why a new domain-specific language instead of a library in Python (or another existing language)? Is the language extensible? Couldn’t you just use Docker/Bioboxes? What is the relationship of ngless to the Common Workflow Language? Questions about the ngless language. Can I pass command line arguments to a script? What are symbols (in the ngless language)? Why a new domain-specific language instead of a library in Python (or another existing language)? By con...

mussol.org

CodeFest and BOSC 2015 – Lots of workflows and Docker

http://mussol.org/2015/07/11/codefest-and-bosc-2015-lots-of-workflows-and-docker

July 11, 2015. CodeFest and BOSC 2015 Lots of workflows and Docker. Is being celebrated in Dublin, Ireland. For the third year in a row I am attending to my favourite conference, and as usual, to the 2-days previous Hackathon or Codefest. Starting by the hackathon, fantastic organization as always, thanks to Curoverse. Group; all the people in the header picture are working on this project. I got involved in the project as well. Actually had interest on it before, but couldn’t see how to contribute to it.

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common-workflow-language.github.io

Common Workflow Language

The Common Workflow Language (CWL) is an informal, multi-vendor working group consisting of various organizations and individuals that have an interest in portability of data analysis workflows. Our goal is to create specifications that enable data scientists to describe analysis tools and workflows that are powerful, easy to use, portable, and support reproducibility. CWL builds on technologies such as JSON-LD. For data modeling and Docker. For portable runtime environments. The CWL effort is on Github:.

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