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Special section: Biomedical and bioinformatics challenges to computer science

机译:专题:生物医学和生物信息学对计算机科学的挑战

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Although bioinformatics was born as an interdisciplinary science bridging basic biology with computer science [1], in these last years it is more and more used in conjunction with medical informatics and translational medicine and involves the comparative analysis of genomics, proteomics and clinical data [2], often using the Grid as an infrastructure [3].rnIn addition, bioinformatics tools are more and more integrated with other disciplines, such as mathematics and systems theory, for building mathematical models aiming to describe the dynamics and behavior of biological systems such as cells, tissues, organs, and populations, a field often referred to as systems biology or in-tegrative biology. Thus, modern bioinformatics deals with methods for acquiring, storing, retrieving, and analyzing biological and medical data [4] and includes computational platforms and sophisticated data models to simulate and foresee the behavior of living systems.
机译:尽管生物信息学是一门将基础生物学与计算机科学联系起来的跨学科科学[1],但是在最近几年中,它越来越多地与医学信息学和转化医学结合使用,并涉及基因组学,蛋白质组学和临床数据的比较分析[2]。 ],通常将网格作为基础结构[3]。rn此外,生物信息学工具越来越多地与其他学科(例如数学和系统理论)集成在一起,以建立旨在描述生物系统动力学和行为的数学模型,例如细胞,组织,器官和种群,通常称为系统生物学或整合生物学的领域。因此,现代生物信息学涉及获取,存储,检索和分析生物学和医学数据的方法[4],并包括计算平台和复杂的数据模型以模拟和预测生命系统的行为。

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