Kumar Singh Puneet, Shukla Pratyoosh
Brief Funct Genomics. 2015 Mar;14(2):166-8. doi: 10.1093/bfgp/elu023. Epub 2014 Jul 2.
Different systems biology approaches may have a significant consequence in deciphering microbial interactions. Here, we endeavor to summarize, epigrammatic description of sophisticated techniques and software that provides an enhanced understanding of metagenomics data analysis. Apparently, such techniques are helpful to catalog various analysis categories and components that add appraisal to understand this approach. In addition, the constructions of metabolic networks of various genes present in human gut microbiome also give significant directions for determining the topological features of target enzymes.
不同的系统生物学方法可能在解读微生物相互作用方面产生重大影响。在此,我们致力于总结对复杂技术和软件的简要描述,这些技术和软件能增强对宏基因组数据分析的理解。显然,此类技术有助于梳理各种分析类别和组成部分,这些类别和组成部分有助于评估对这种方法的理解。此外,人类肠道微生物群中存在的各种基因的代谢网络构建,也为确定目标酶的拓扑特征提供了重要指导。