检测横向遗传物质转移
Detecting lateral genetic material transfer
摘要：
利用生物信息学方法检测基因横向转移事件主要是基于功能编码DNA的特征。在本文中，我们提出了不依赖于蛋白质编码要求的DNA性状的使用。我们介绍了几个半局部变量，依赖于DNA的主要序列，并反映热力学以及物理化学的幅度，能够区分不同生物体的基因组。在神经分类器中结合这些变量后，我们得到的结果的分辨率可以检测到遗传学上接近的细菌之间的基因组物质交换。
英文摘要：
The bioinformatical methods to detect lateral gene transfer events are mainly based on functional coding DNA characteristics. In this paper, we propose the use of DNA traits not depending on protein coding requirements. We introduce several semilocal variables that depend on DNA primary sequence and that reflect thermodynamic as well as physico-chemical magnitudes that are able to tell apart the genome of different organisms. After combining these variables in a neural classificator, we obtain results whose power of resolution go as far as to detect the exchange of genomic material between bacteria that are phylogenetically close.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
