Kikuchi Masataka, Nakaya Akihiro
Department of Genome Informatics, Graduate School of Medicine, Osaka University.
Brain Nerve. 2017 Jul;69(7):835-842. doi: 10.11477/mf.1416200828.
With the spread of microarray and next-generation sequencing technologies, massive amounts of data can be collected. However, these collections of data require the use of "big data" data-mining techniques to extract the relevant information. These techniques are applied to biological data through bioinformatics studies. By applying these bioinformatics approaches to various omics datasets, the complex pathology of Alzheimer's disease (AD) has been substantially revealed. In this paper, we focus on the genomics- and transcriptomics-based studies, and review previous AD studies using these newer bioinformatics approaches.
随着微阵列和下一代测序技术的普及，可以收集大量数据。然而，这些数据集合需要使用“大数据”数据挖掘技术来提取相关信息。这些技术通过生物信息学研究应用于生物数据。通过将这些生物信息学方法应用于各种组学数据集，阿尔茨海默病（AD）的复杂病理已被充分揭示。在本文中，我们专注于基于基因组学和转录组学的研究，并回顾以前使用这些更新的生物信息学方法进行的AD研究。
