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生物信息学的下一个元挑战。

The next meta-challenge for Bioinformatics.

作者信息

Valdivia-Granda Willy

机构信息

Orion Integrated Biosciences Inc., New York, United States of America.

出版信息

Bioinformation. 2008 May 29;2(8):358-62. doi: 10.6026/97320630002358.

Abstract

The direct sequencing of uncultivable organisms present in complex biological and environmental samples has opportunities to discover new life forms and metabolic processes. This transformational field, known as metagenomics, is generating massive amounts of molecular information that can overwhelm the performance of conventional analysis and visualization algorithms. Here, I briefly highlight some of the emerging challenges this new discipline presents to the computational biology community and point some of the opportunities to develop applications that can translate metagenomic information into biomedical, agricultural, environmental, and industrial applications.

摘要

对复杂生物和环境样本中不可培养的生物体进行直接测序,有机会发现新的生命形式和代谢过程。这个被称为宏基因组学的变革性领域正在产生大量的分子信息,这些信息可能会超出传统分析和可视化算法的性能。在这里,我简要强调这一新学科给计算生物学界带来的一些新出现的挑战,并指出一些开发应用程序的机会,这些应用程序可以将宏基因组信息转化为生物医学、农业、环境和工业应用。

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