SPFlow - Rewriting a non SP workflow into an SP workflow while preserving provenance
Person in charge :
COHEN-BOULAKIA Sarah
Scientific workflow systems are numerous and equipped of provenance modules able to collect data produced and consumed during workflow runs to enhance reproducibility. An increasing number of approaches have been developed to help managing provenance information. Some of them are able to process data in a polynomial time but they require workflows to have series-parallel (SP) structures. Rewriting any workflow into an SP workflow is thus particularly important.
SPFlow answers this need and takes in a workflow (from the Taverna system) and provide a runnable and provenance equivalent (Taverna) workflow.
More information: https://spflow.lri.fr/
Research activities
Bioinformatics
Members
FROIDEVAUX Christine COHEN-BOULAKIA Sarah CHEN Jiuqiang
Group
Bioinformatics
