Know your limits: Assumptions, constraints and interpretation in systems biology

被引：4
作者：
Ilsley, Garth R. [1 ]
Luscombe, Nicholas M. [1 ,2 ]
Apweiler, Rolf [1 ]
机构：
[1] EMBL European Bioinformat Inst, Cambridge CB10 1SD, England
[2] EMBL Heidelberg Gene Express Unit, D-69117 Heidelberg, Germany
来源：
BIOCHIMICA ET BIOPHYSICA ACTA-PROTEINS AND PROTEOMICS | 2009年 / 1794卷 / 09期
关键词：
Systems biology; Functional genomics; Bioinformatics; Standards; Metadata; STOCHASTIC GENE-EXPRESSION; MOLECULAR-BIOLOGY; PROTEIN COMPLEXES; RNA-SEQ; NOISE; NETWORKS; DESIGN; GENOME; TRANSCRIPTION; ORGANIZATION;
D O I：
10.1016/j.bbapap.2009.05.002
中图分类号：
Q5 [生物化学]; Q7 [分子生物学];
学科分类号：
071010 ; 081704 ;
摘要：
Much of modern biological research can be organised under unifying concepts such as 'Network Biology' or 'Systems Biology'. These provide frameworks for discussion and evaluation, which is particularly necessary given the large number of interconnected components being measured in the genomic era. Conversely, they embody simplifications and assumptions that place limits on what can be deduced from experimental data. Understanding these constraints is essential not only for scientific interpretation, but also in evaluating new experimental methods and conceptual advances. (C) 2009 Elsevier B.V. All rights reserved.
引用
收藏
页码：1280 / 1287
页数：8
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