@article{Vlaic26062013,
  author    = {Vlaic, Sebastian and Hoffmann, Bianca and Kupfer, Peter and Weber, Michael and
    Dr\"ager, Andreas},
  title     = {{GRN2SBML: Automated encoding and annotation of inferred gene regulatory
	networks complying with SBML}},
  journal   = {Bioinformatics},
  publisher = {Oxford University Press},
  year      = {2013},
  volume    = {29},
  pages     = {2216--2217},
  month     = jun,
  doi       = {10.1093/bioinformatics/btt370},
  pdf       = {https://bioinformatics.oxfordjournals.org/content/29/17/2216.full.pdf},
  url       = {https://bioinformatics.oxfordjournals.org/content/29/17/2216.abstract},
  abstract  = {Summary: GRN2SBML automatically encodes gene regulatory networks derived
	from several inference tools in systems biology markup language.
	Providing a graphical user interface, the networks can be annotated
	via the simple object access protocol (SOAP)-based application programming
	interface of BioMart Central Portal and \emph{minimum information
	required in the annotation of models} registry. Additionally, we
	provide an R-package, which processes the output of supported inference
	algorithms and automatically passes all required parameters to GRN2SBML.
	Therefore, GRN2SBML closes a gap in the processing pipeline between
	the inference of gene regulatory networks and their subsequent analysis,
	visualization and storage. Availability: GRN2SBML is freely available
	under the GNU Public License version 3 and can be downloaded from
	\url{http://www.hki-jena.de/index.php/0/2/490}. Supplementary information:
	General information on GRN2SBML, examples and tutorials are available
	at the tool's web page. Contact: \url{mailto:Sebastian.Vlaic@hki-jena.de}
	or \url{mailto:andraeger@eng.ucsd.edu}},
}