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HPCS 2011 keynotes: Tuesday keynote I: High-performance computing and biology: The quest for a predictive biological theory

机译:HPCS 2011主旨演讲:周二主旨演讲I:高性能计算与生物学:对预测性生物学理论的追求

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In this talk we will discuss the role that high-performance computing and advanced data systems play in accelerating the transition of biology from a science primarily focused on description and explanation to a new science focused on systems level understanding and data driven predictive theories. We will discuss the role that genomics driven biological models are playing in reshaping what is possible in biological analysis and how high-performance computing technologies are playing a critical role in enabling new types of biological investigations. We will outline how we go from raw DNA sequence data to predictive whole genome models of biological phenotype and how automated annotation and analysis systems are enabling small biological labs to do things that were not possible at any scale just a few years ago. We will project how the increases in computing capability coupled with the increases in biological sequence generation throughput and the rise of data integration methods will result in a rapid expansion of our understanding. If time permits, we will discuss the impact that predictive biological models can have on health, energy, the environment and science.
机译:在本演讲中,我们将讨论高性能计算和高级数据系统在加速生物学从以描述和解释为主的科学到侧重于系统级理解和数据驱动的预测理论的新科学的过渡中所扮演的角色。我们将讨论基因组学驱动的生物学模型在重塑生物学分析中可能扮演的角色,以及高性能计算技术在实现新型生物学研究中如何发挥关键作用。我们将概述从原始DNA序列数据到生物表型的预测性全基因组模型的方式,以及自动化注释和分析系统如何使小型生物实验室能够完成几年前无法实现的任何规模的工作。我们将预测计算能力的提高,以及生物序列生成吞吐量的提高以及数据集成方法的兴起,将如何使我们的理解迅速扩展。如果时间允许,我们将讨论预测性生物学模型可能对健康,能源,环境和科学产生的影响。

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