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GRN2SBML: automated encoding and annotation of inferred gene regulatory networks complying with SBML
Author(s) -
Sebastian Vlaic,
Bianca Hoffmann,
Peter Kupfer,
Michael Weber,
Andreas Dräger
Publication year - 2013
Publication title -
bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.599
H-Index - 390
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/btt370
Subject(s) - computer science , sbml , annotation , markup language , inference , mit license , application programming interface , graphical user interface , interface (matter) , pipeline (software) , visualization , xml , user interface , information retrieval , programming language , data mining , world wide web , software , artificial intelligence , operating system , bubble , maximum bubble pressure method
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 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.

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