"Computational Biology and Bioinformatics"

J. Jasinski
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引用次数: 18

Abstract

I will discuss the current state of progress in high performance computing, biomolecular simulation and algorithms as we are applying them to understanding a range of problems in the use of information technology to understand biological systems. Examples will include the use of pattern discovery algorithms to understand gene expression, the use of massively parallel supercomputing capabilities made available by the Blue Gene architecture to probe the dynamics of protein folding and trans membrane proteins and how this work will impact the translation of basic science into clinical research and ultimately into clinical practice.
计算生物学与生物信息学
我将讨论高性能计算、生物分子模拟和算法的进展现状,因为我们正在应用它们来理解使用信息技术来理解生物系统的一系列问题。例子将包括使用模式发现算法来理解基因表达,使用蓝色基因架构提供的大规模并行超级计算能力来探测蛋白质折叠和跨膜蛋白质的动力学,以及这项工作将如何影响基础科学转化为临床研究并最终进入临床实践。
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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