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生物序列注释

Biosequence exegesis.

作者信息

Boguski M S

机构信息

National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, 8600 Rockville Pike, Bethesda, MD 20894, USA.

出版信息

Science. 1999 Oct 15;286(5439):453-5. doi: 10.1126/science.286.5439.453.

Abstract

Annotation of large-scale gene sequence data will benefit from comprehensive and consistent application of well-documented, standard analysis methods and from progressive and vigilant efforts to ensure quality and utility and to keep the annotation up to date. However, it is imperative to learn how to apply information derived from functional genomics and proteomics technologies to conceptualize and explain the behaviors of biological systems. Quantitative and dynamical models of systems behaviors will supersede the limited and static forms of single-gene annotation that are now the norm. Molecular biological epistemology will increasingly encompass both teleological and causal explanations.

摘要

大规模基因序列数据的注释将受益于全面且一致地应用记录完备的标准分析方法,以及为确保质量和实用性并使注释与时俱进所做的持续且审慎的努力。然而,学习如何应用从功能基因组学和蛋白质组学技术中获得的信息来构思和解释生物系统的行为至关重要。系统行为的定量和动态模型将取代目前作为常态的单基因注释的有限且静态的形式。分子生物学认识论将越来越多地涵盖目的论和因果解释。

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