Data Science and Computational Biology

S. Jyothi, P. Bhargavi
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引用次数: 0

Abstract

Data Science and Computational biology is an interdisciplinary program that brings together the domain specific knowledge of science and engineering with relevant areas of computing and bioinformatics. Data science has the potential to revolutionise healthcare, and respond to the increasing volume and complexity in biomedical and bioinformatics data. From genomics to clinical records, from imaging to mobile health and personalised medicine, the data volume in biomedical research presents urgent challenges for computer science. This chapter elevates the researchers in what way data science play important role in Computational Biology such as Bio-molecular Computation, Computational Photonics, Medical Imaging, Scientific Computing, Structural Biology, Bioinformatics and Bio-Computing etc. Big data analytics of biological data bases, high performance computing in large sequence of genome database and Scientific Visualization are also discussed in this chapter.
数据科学与计算生物学
数据科学与计算生物学是一门跨学科的课程,它将科学和工程领域的特定知识与计算和生物信息学的相关领域结合在一起。数据科学有可能彻底改变医疗保健,并应对生物医学和生物信息学数据日益增长的数量和复杂性。从基因组学到临床记录,从成像到移动医疗和个性化医疗,生物医学研究中的数据量对计算机科学提出了紧迫的挑战。本章介绍了数据科学在计算生物学中发挥的重要作用,如生物分子计算、计算光子学、医学成像、科学计算、结构生物学、生物信息学和生物计算等。本章还讨论了生物数据库的大数据分析、基因组数据库大序列的高性能计算和科学可视化。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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