Department of Chemical and Biological Engineering and The NY State Center for Excellence in Bioinformatics and Life Sciences, State University of New York, Buffalo, NY 14260, USA.
Bioinformatics. 2013 Feb 1;29(3):404-6. doi: 10.1093/bioinformatics/bts703. Epub 2012 Dec 10.
Systems glycobiology studies the interaction of various pathways that regulate glycan biosynthesis and function. Software tools for the construction and analysis of such pathways are not yet available. We present GNAT, a platform-independent, user-extensible MATLAB-based toolbox that provides an integrated computational environment to construct, manipulate and simulate glycans and their networks. It enables integration of XML-based glycan structure data into SBML (Systems Biology Markup Language) files that describe glycosylation reaction networks. Curation and manipulation of networks is facilitated using class definitions and glycomics database query tools. High quality visualization of networks and their steady-state and dynamic simulation are also supported.
The software package including source code, help documentation and demonstrations are available at http://sourceforge.net/projects/gnatmatlab/files/.
系统糖生物学研究调节聚糖生物合成和功能的各种途径的相互作用。用于构建和分析这些途径的软件工具尚不可用。我们提出了 GNAT,这是一个与平台无关的、用户可扩展的基于 MATLAB 的工具箱,它提供了一个集成的计算环境,用于构建、操作和模拟聚糖及其网络。它能够将基于 XML 的聚糖结构数据集成到描述糖基化反应网络的 SBML(系统生物学标记语言)文件中。使用类定义和糖组学数据库查询工具来促进网络的编纂和操作。还支持网络及其稳态和动态模拟的高质量可视化。
包括源代码、帮助文档和演示的软件包可在 http://sourceforge.net/projects/gnatmatlab/files/ 获得。