发现科学中的生物信息学方法

L. Lăbușcă, K. Mashayekhi
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引用次数: 0

摘要

以检测疾病病因和进展为重点的研究正在收集大量令人印象深刻的数据。以系统的方法集成可用的信息需要对细节的了解以及对可预测的互连的概述。积累的数据量往往强调了人类大脑感知联系和相关性的能力。本文概述了将OA视为一种全身性疾病的几种思想流派,提出生物信息学作为组织现有知识的工具,旨在引入使用临床和实验数据的发现方法。计算生物学用于检测分子途径中可能的相关性和联系,并进一步指出作为设计集中系统研究的一种有用方法。
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A Bioinformatics Approach in Discovery Science
Research focused in detecting cause and progression of the diseases is gathering an impressive amount of data. Integrating available information in a systemic approach requires knowledge about details as well as overview about predictable interconnections. The amount of accumulated data often underscores human mind capabilities to perceiving links and correlations. The paper offers an overview about several schools of thoughts perceiving OA as a systemic disease Bioinformatics is proposed as a tool in organizing existent knowledge aiming introduction of the discovery approach in using clinical and experimental data. Computational biology is used to detect possible correlations and links in molecular pathways and further pointed as one useful method to design focused systematic research.
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