Common Workflow Language
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X2013; Jennifer Gardy keynote on open data and infectious diseases, plus workflow development. X2013; Talks on standards and a panel on growing communities.
A python toolkit providing best-practice pipelines for fully automated high throughput sequencing analysis. You write a high level configuration file specifying your inputs and analysis parameters. This input drives a parallel pipeline that handles distributed execution, idempotent processing restarts and safe transactional steps. The goal is to provide a shared community resource that handles the data processing component of sequencing analysis, providing rese.
Toil is a workflow engine entirely written in Python. Complete support for the draft-3 CWL specification, allowing it to execute CWL workflows. Easily mastered, the Python user API for defining and running workflows is built upon one core class.
Rabix is an open-source development project for creating and running computational workflows. It was founded by Seven Bridges. With the goal of empowering researchers and developers to easily run reproducible analyses at scale. The Rabix Executor supports the Common Workflow Language.
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Common Workflow LanguageDESCRIPTION
The Common Workflow Language CWL is a specification for describing analysis workflows and tools in a way that makes them portable and scalable across a variety of software and hardware environments, from workstations to cluster, cloud, and high performance computing HPC environments. CWL is designed to meet the needs of data-intensive science, such as Bioinformatics, Medical Imaging, Astronomy, Physics, and Chemistry. CWL builds on technologies such as JSON-LD. For data modeling and Docker. Web-based.CONTENT
This domain has the following on the site, "The Common Workflow Language CWL is a specification for describing analysis workflows and tools in a way that makes them portable and scalable across a variety of software and hardware environments, from workstations to cluster, cloud, and high performance computing HPC environments." Our analyzers analyzed that the web site also said " CWL is designed to meet the needs of data-intensive science, such as Bioinformatics, Medical Imaging, Astronomy, Physics, and Chemistry." The Website also stated " CWL builds on technologies such as JSON-LD. For data modeling and Docker."VIEW OTHER BUSINESSES
Find comprehensive guides and documentation to help you start working with the CGC as quickly as possible. Making efficient use of compute resources. Interactive analysis on the CGC. How can I download metadata on a list of files. How are EC2 instance types assigned to a task.
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