Computational Challenges in Constructing the Tree of Life

T. Warnow
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引用次数: 2

Abstract

Estimating the Tree of Life is one of the grand computational challenges in Science, and has applications to many areas of science and biomedical research. Despite intensive research over the last several decades, many problems remain inadequately solved. Relatively small datasets can take hundreds of CPU years (e.g., the Avian Phylogenomics Project analysis of just 48 bird genomes used more than 200 CPU years to construct its tree), and larger datasets will require much more time. Thus, the estimation of the Tree of Life, which contains millions of species each with a genome containing millions of nucleotides, will depend on both novel algorithmic designs and effective use of high performance and distributed computing platforms.
构建生命之树的计算挑战
估算生命之树是科学领域的重大计算挑战之一,在许多科学和生物医学研究领域都有应用。尽管在过去的几十年里进行了深入的研究,但许多问题仍然没有得到充分解决。相对较小的数据集可能需要数百个CPU年(例如,鸟类系统基因组学项目分析了48个鸟类基因组,使用了200多个CPU年来构建它的树),而更大的数据集将需要更多的时间。因此,生命之树包含数百万个物种,每个物种的基因组包含数百万个核苷酸,对生命之树的估计将取决于新的算法设计和高效使用高性能和分布式计算平台。
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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