Institute of Bio- and Geosciences, IBG-1: Biotechnology, Germany.
Bioinformatics. 2013 Jan 1;29(1):143-5. doi: 10.1093/bioinformatics/bts646. Epub 2012 Oct 30.
(13)C-based metabolic flux analysis ((13)C-MFA) is the state-of-the-art method to quantitatively determine in vivo metabolic reaction rates in microorganisms. 13CFLUX2 contains all tools for composing flexible computational (13)C-MFA workflows to design and evaluate carbon labeling experiments. A specially developed XML language, FluxML, highly efficient data structures and simulation algorithms achieve a maximum of performance and effectiveness. Support of multicore CPUs, as well as compute clusters, enables scalable investigations. 13CFLUX2 outperforms existing tools in terms of universality, flexibility and built-in features. Therewith, 13CFLUX2 paves the way for next-generation high-resolution (13)C-MFA applications on the large scale.
13CFLUX2 is implemented in C++ (ISO/IEC 14882 standard) with Java and Python add-ons to run under Linux/Unix. A demo version and binaries are available at www.13cflux.net.
(13)C 代谢通量分析((13)C-MFA)是定量测定微生物体内代谢反应速率的最先进方法。13CFLUX2 包含用于组合灵活的计算(13)C-MFA 工作流程的所有工具,以设计和评估碳标记实验。专门开发的 XML 语言 FluxML、高效的数据结构和模拟算法实现了最高的性能和效率。多核 CPU 和计算集群的支持实现了可扩展的研究。13CFLUX2 在通用性、灵活性和内置功能方面优于现有工具。因此,13CFLUX2 为下一代大规模高分辨率(13)C-MFA 应用铺平了道路。
13CFLUX2 是用 C++(ISO/IEC 14882 标准)实现的,并带有 Java 和 Python 插件,可在 Linux/Unix 下运行。演示版本和二进制文件可在 www.13cflux.net 获得。