Wings can now (again) work with Pegasus and Condor.
You can find instructions on how to compile WINGS with condor support here:
Instructions on compiling WINGS with pegasus support
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;
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:
More details can be found at http://www.wings-workflows.org/node/17664
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.
Source code can be found at:
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.
We achieved an initial integration of the Wings workflow system with Apache OODT (http://oodt.apache.org), 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:
We've got all the source code for the Wings system on GitHub now.
You can view the repository at: