WINGS is a semantic workflow system that assists scientists with the design of computational experiments. A unique feature of WINGS is that its workflow representations incorporate semantic constraints about datasets and workflow components, and are used to create and validate workflows and to generate metadata for new data products. WINGS submits workflows to execution frameworks such as Pegasus and OODT to run workflows at large scale in distributed resources. [more]

Cluster computing with Wings

You can find instructions on how to compile WINGS with condor support here:
Instructions on compiling WINGS with pegasus support

Wings is now integrated in the Disk portal

The DISK project (automated DIscovery of Scientific Knowledge) aims to develop a novel approach to automate the hypothesize-test-evaluate discovery cycle with an intelligent system that a scientist can task with lines of inquiry to test hypotheses of interest. DISK extends the existing WINGS intelligent workflow system for scientific data analysis, applying it to multi-omics.
DISK has four major research objectives:

1) Representing hypotheses and associated evidence and confidence values;

A new release of the Wings provenance export is online!

On previous releases, Wings introduced an export to OPMW that allowed to represent scientific workflows and their provenance as Linked Data. After the latest releases of Wings, the mapper was adapted to the newer version of the workflow system. Now workflow executions are stored in a local execution library, which makes it easy to access them independently. In addition, each execution is associated with its original template, its workflow instance and expanded template:

New Version of Wings Released (4.0 Development Version)

More details can be found at

Workflow Ecosystems and Wings

Wings is now part of the WEST workflow ecosystem, which is a collection of workflow tools that interoperate to visualize, analyze, design, execute and explore scientific workflows.

New version of Wings Released (Source Code)

Source code can be found at:

Semantic Workflows for Cancer Clinical Omics

In collaboration with the Knight Cancer Institute at the Oregon Health and Science University, we are using Wings workflows to annotate patient sequence variants obtained through clinical DNA sequencing.

Initial integration of OODT and Wings

We achieved an initial integration of the Wings workflow system with Apache OODT (, so Wings workflows can be executed in the OODT platform which manages data and computations at extreme scale.

To see details, visit the following page:

Wings source code released on GitHub

We've got all the source code for the Wings system on GitHub now.

You can view the repository at:

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