GRN2SBML：符合 SBML 的推断基因调控网络的自动编码和注释。
GRN2SBML: automated encoding and annotation of inferred gene regulatory networks complying with SBML.
机构信息
Leibnitz Institute for Natural Product Research and Infection Biology-Hans-Knöll-Institute, Beutenbergstrasse 11a, Jena, Germany.
出版信息
Bioinformatics. 2013 Sep 1;29(17):2216-7. doi: 10.1093/bioinformatics/btt370. Epub 2013 Jun 26.
UNLABELLED
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.
AVAILABILITY
GRN2SBML is freely available under the GNU Public License version 3 and can be downloaded from 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.
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GRN2SBML 自动将系统生物学标记语言中的几个推理工具得出的基因调控网络进行编码。通过图形用户界面，可通过 BioMart Central Portal 的基于简单对象访问协议 (SOAP) 的应用程序编程接口以及模型注册所需的最小信息对网络进行注释。此外，我们还提供了一个 R 包，它可处理支持推理算法的输出，并自动将所有必需参数传递给 GRN2SBML。因此，GRN2SBML 填补了基因调控网络推理与其后续分析、可视化和存储之间处理流程中的一个空白。
可用性
根据 GNU 公共许可证第 3 版，GRN2SBML 可免费使用，并可从 http://www.hki-jena.de/index.php/0/2/490 下载。
补充信息
GRN2SBML 的一般信息、示例和教程可在工具网页上获得。
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