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在后基因组时代的蛋白质功能

D Eisenberg¹, E M Marcotte, I Xenarios

¹Molecular Biology Institute and UCLA-DOE Laboratory of Structural Biology and Molecular Medicine, University of California at Los Angeles, 90095-1570, USA. david@mbi.ucla.edu

|June 24, 2000

概括

功能性基因组学旨在将庞大的基因组数据转化为生物知识. 这个字段涉及如何将序列和信使RNA表达数据合成有意义的见解.

科学领域:

基因组学就是基因组学.
分子生物学分子生物学
生物信息学是一种生物信息学.

背景情况:

生物研究正在产生大量的基因组和信使RNA (mRNA) 表达数据.
挑战在于将这种数据洪水转化为可操作的科学知识.
当前的数据处理方法很难有效地合成各种生物信息.

研究的目的:

探索功能基因组学的新兴领域.
为了解决如何从广泛的基因组和表达数据中获得有意义的知识这一关键问题.
定义功能基因组学产生的知识的潜在形式和应用.

主要方法:

对基因组数据生成当前趋势的分析.
对高通量表达式分析技术 (例如微阵列) 的审查.
生物学知识综合学的概念框架开发.

主要成果:

确定了生物学数据生成和知识获取之间的重大差距.
强调需要新的方法来整合和解释复杂的生物数据集.
建立功能性基因组学作为应对这一挑战的关键学科.

结论:

功能性基因组学提供了一条将大规模生物数据转化为生物理解的途径.
对基因组和表达数据的有效合成对于推动生物发现至关重要.
该领域有望重塑生物知识的产生和利用方式.

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