Use either a pre-set pipeline or customize your own
metabolic network reconstruction workflow with integrated or
other tools.
Implemented methods
Five main modules: the PADMet core, the input manager, the
user workspace based on Docker technology, the format for
storing data and metadata and the included tools.
Transparency with metadata
A whole pool of metadata is associated to the model or its
reconstruction and managed by the AuReMe workspace for
storage and wiki-visualization.
Applied to non-model organisms
Interest of heterogeneous methods in pathway completion and
filling, thanks to tracking of process metadata.
Reproducibility
A tracking system enables to reproduce the exact and
complete analysis process automatically, by a simple command
sequence.
The DYLISS team has developped an imaginative solution to make
genome-scale metabolic network reconstructions to enhance Research...