Bioinformatics Analysis Plateau Hypertension-related Genes

Bioinformatics, the rise in the 1980 s as a cross-disciplinary, can decipher the genetic language hidden in the DNA sequence. Today, with the rapid development of bioinformatics and computer science, International and domestic research become more and more, Variety of biological data has a lot of growth.Various databases have also established and increasingly sophisticated, aroused the enthusiasm of researchers also makes some of the research work more convenient and efficient.In recent years, with the development of socio-economic and technological, people living in highland areas, frontier guards in the country, The struggle for the research scholars in the highlands and other groups received more national attention, and hypertension is a common one among the plateau of altitude sickness. Long-term living in the highlands or plateau for the first time to a lot of people will have different reactions, so it has great significance for research plateau hypertension.In this paper, based on bioinformatics, after reading a lot of hypertension and related research literature in combination with other graduate students, by differentially expressed genes and SNP annotation, etc. to carry out research on the impact of hypertension at high altitude hypoxia-related genes. By finding and collecting reliable data sources, comparing multiple databases, organizing and analyzing the acquired data, make the data more reliable sources and provide a strong basis for protection for the subsequent analysis. This article is also full use of computer technology and more convenient tools for research, as provided by GEO2 R NCBI gene expression profiles associated achieve pretreatment, access to relevant results quick and easy. In order to realize the differences in gene expression analysis of the results more intuitive, with a more popular visualization tools Cytoscape, it provides a wealth of plug-in interface, so that the results show more intuitive and targeted. In terms of scientific workflow analysis, use the tools currently more popular BioKepler, it is very prominent in the integration of large amounts of data processing and analysis, etc. And integrated analysis of general R, MatlAB and visualization software, etc. This article makes the analysis process fast and efficient. In summary, this paper data mining techniques and bioinformatics making full use of computer resources, and plateau hypertension related genes were analyzed, and get the gene currently known Altitude Hypertension, and SNP annotation of these genes has been in the high altitude environment gene mutation for hypertension symptoms more important functions. The results of these analyzes with graphics, images and other visual show up, This analysis of gene expression for other researchers hypertension-related differences and other important research mutation sites provides some reference.