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Immunolnformatics: an integrated scenario

机译:免疫信息学:综合方案

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摘要

Genome sequencing of humans and other organisms has led to the accumulation of huge amounts of data, which include immunologically relevant data. A large volume of clinical data has been deposited in several immunological databases and as a result immunoinformatics has emerged as an important field which acts as an intersection between experimental immunology and computational approaches. It not only helps in dealing with the huge amount of data but also plays a role in defining new hypotheses related to immune responses. This article reviews classical immunology, different databases and prediction tools. It also describes applications of immunoinformatics in designing in silico vaccination and immune system modelling. All these efforts save time and reduce cost.
机译:人类和其他生物的基因组测序已导致积累了大量数据,其中包括免疫相关数据。大量的临床数据已经存储在几个免疫学数据库中,结果,免疫信息学已成为一个重要领域,成为实验免疫学和计算方法之间的交集。它不仅有助于处理海量数据,而且在定义与免疫反应有关的新假设方面也发挥着作用。本文介绍了经典的免疫学,不同的数据库和预测工具。它还描述了免疫信息学在设计计算机接种疫苗和免疫系统建模中的应用。所有这些努力节省了时间并降低了成本。

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