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理解神经精神疾病中相互作用通路的生物信息学方法。

Bioinformatics approach to understanding interacting pathways in neuropsychiatric disorders.

作者信息

Alawieh Ali, Sabra Zahraa, Nokkari Amaly, El-Assaad Atlal, Mondello Stefania, Zaraket Fadi, Fadlallah Bilal, Kobeissy Firas H

机构信息

Department of Neurosciences, Medical University of South Carolina, Charleston, SC, USA.

出版信息

Methods Mol Biol. 2014;1168:157-72. doi: 10.1007/978-1-4939-0847-9_9.

Abstract

Bioinformatics-based applications have been incorporated into several medical disciplines, including cancer, neuroscience, and recently psychiatry. Both the increasing interest in the molecular aspect of neuropsychiatry and the availability of high-throughput discovery and analysis tools have encouraged the incorporation of bioinformatics and neurosystems biology techniques into psychiatry and neuroscience research. As applied to neuropsychiatry, systems biology involves the acquisition and processing of high-throughput datasets to infer new information. A major component in bioinformatics output is pathway analysis that provides an insight into and prediction of possible underlying pathogenic processes which may help understand disease pathogenesis. In addition, this analysis serves as a tool to identify potential biomarkers implicated in these disorders. In this chapter, we summarize the different tools and algorithms used in pathway analysis along with their applications to the different layers of molecular investigations, from genomics to proteomics.

摘要

基于生物信息学的应用已被纳入多个医学学科,包括癌症、神经科学,以及最近的精神病学。对神经精神病学分子层面的兴趣日益浓厚,以及高通量发现和分析工具的可用性,都促使生物信息学和神经系统生物学技术被纳入精神病学和神经科学研究。应用于神经精神病学时,系统生物学涉及高通量数据集的获取和处理,以推断新信息。生物信息学输出的一个主要组成部分是通路分析,它能深入了解并预测可能的潜在致病过程,这可能有助于理解疾病发病机制。此外,这种分析还可作为一种工具,用于识别与这些疾病相关的潜在生物标志物。在本章中,我们总结了通路分析中使用的不同工具和算法,以及它们在从基因组学到蛋白质组学的不同分子研究层面的应用。

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