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摘要

生物信息学是分子生物科学与数学、计算机科学和信息技术相结合的新兴学科。生物信息学是由分子生物科学中高通量技术产生的数据驱动的。为了实现生物发现,生物信息学借鉴并扩展了数据捕获、管理、集成和挖掘、计算和通信技术等技术。基因组学的兴起一直是生物信息学的关键驱动力。然而,基因组学本身从来都不是目的,而是为了使人们能够理解复杂的生物系统。生物信息学不断发展以支持其组成领域,并越来越多地将其整合到基因组尺度的分子系统生物学中。本章首先从计算机科学和信息技术的角度介绍生物信息学,然后从生物科学的角度介绍生物信息学。在实践中,这些观点经常融合在一起,使生物信息学成为一个丰富而充满活力的多学科研究和应用领域。
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Bioinformatics
Bioinformatics has emerged as new discipline at the interface of molecular bioscience with mathematics, computer science, and information technology. Bioinformatics is driven by data arising from high-throughput technologies in molecular bioscience. To enable biological discovery, bioinformatics draws on and extends technologies for data capture, management, integration and mining, computing, and communication technology. The rise of genomics has been a key driver for bioinformatics. Genomics, however, was never an end unto itself, but rather was intended to enable the understanding of complex biological systems. Bioinformatics continues to evolve in support of its constituent domains and, increasingly, their integration into genome-scale molecular systems biology. This chapter presents bioinformatics first from the perspective of computer science and information technology, then from the perspective of bioscience. In practice these perspectives often merge, making bioinformatics a rich, vibrant area of multidisciplinary research and application.
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