College of Communication Engineering, Chongqing University, 174 ShaPingBa District, Chongqing, 400044, China.
Integr Biol (Camb). 2012 Jan;4(1):93-8. doi: 10.1039/c1ib00030f. Epub 2011 Nov 23.
At present, methods for determining essential genes depend on biochemical experiments. There is therefore a demand for the development of analysis methods and software for identifying essential genes, based on the common features of these genes. In this study, we employed the Hurst exponent as a characteristic parameter and analyzed its distribution among nine bacterial species. We found that most of the significance levels of the Hurst exponents of essential genes were higher than those of the corresponding full-gene-set. Conversely, most of the significance levels of the Hurst exponents of nonessential genes remained unchanged or only increased slightly. Therefore, we propose that this feature represents a restraint for pre- or post-design checking of bacterial essential genes in computer-aided design.
目前,确定必需基因的方法依赖于生化实验。因此,需要开发基于这些基因共同特征的必需基因分析方法和软件。在这项研究中,我们采用赫斯特指数作为特征参数,并分析了其在 9 种细菌中的分布。我们发现,必需基因的赫斯特指数的大部分显著性水平都高于相应的全基因组集。相反,大多数非必需基因的赫斯特指数的显著性水平保持不变或仅略有增加。因此,我们提出,这个特征代表了在计算机辅助设计中对细菌必需基因进行预设计或后设计检查的一种限制。