生物信息学技术及其在肾脏病研究中的应用

Bioinformatics analysis and its applications in kidney disease studies

高通量组学技术的快速发展获得了海量不同类型的生物分子数据。生物信息学技术的快速发展则帮助我们可以深入解读如此庞大的数据,理解生命或疾病发生过程中潜在的分子机制。高通量组学技术与生物信息学技术已经在肾脏病研究中得到了广泛应用,帮助我们更好地理解肾脏病发生的遗传基础和背后的生物学过程。随着高通量组学技术和生物信息学技术的快速发展,多种组学数据的整合生物信息学分析将为肾脏病的病理过程、早期诊断及治疗决策研究提供帮助。本文中,主要讨论生物信息学技术与高通量组学技术应用的进展,并以多种肾脏病研究为例介绍了相关方法的应用。

Under the recent development of high-throughput omics technologies, data of different omics can be accumulated to an enormous number easily. The rapid development of bioinformatics technology helps us to interpret such a large amount of data, and to understand the underlying molecular mechanisms at baseline and in disease conditions. High-throughput omies technologies and bioinformaties analysis have been widely used in the study of kidney diseases, helping us to better understand the genetic basis and biological process behind kidney diseases. Under the aid of the rapid development of omits technology and analysis methods, multi-omics will be widely used to provide more information on biological and pathological processes of kidney diseases, further giving guidance on the early diagnosis and treatment decisions in kidney diseases. In this review, the authors mainly discussed the development of high-throughput omics technology and bioinformatics analysis with examples of kidney disease research.