Mathematics and Computer Science Division, Argonne National Laboratory, Lemont, IL, U.S.A.
Centre of Biological Engineering, University of Minho, Braga, Portugal.
Biochem Soc Trans. 2018 Aug 20;46(4):931-936. doi: 10.1042/BST20170246. Epub 2018 Jul 31.
In the era of next-generation sequencing and ubiquitous assembly and binning of metagenomes, new putative genome sequences are being produced from isolate and microbiome samples at ever-increasing rates. Genome-scale metabolic models have enormous utility for supporting the analysis and predictive characterization of these genomes based on sequence data. As a result, tools for rapid automated reconstruction of metabolic models are becoming critically important for supporting the analysis of new genome sequences. Many tools and algorithms have now emerged to support rapid model reconstruction and analysis. Here, we are comparing and contrasting the capabilities and output of a variety of these tools, including ModelSEED, Raven Toolbox, PathwayTools, SuBliMinal Toolbox and .
在下一代测序和无处不在的宏基因组组装和分类的时代,新的假定基因组序列正以前所未有的速度从分离物和微生物组样本中产生。基于序列数据,基因组尺度代谢模型对于支持这些基因组的分析和预测特征具有巨大的效用。因此,快速自动重建代谢模型的工具对于支持新基因组序列的分析变得至关重要。现在已经出现了许多工具和算法来支持快速模型重建和分析。在这里,我们比较和对比了各种工具的功能和输出,包括 ModelSEED、Raven Toolbox、PathwayTools、SubliMinal Toolbox 和。