Quantitative Genetic Interactions Reveal Biological Modularity
Author(s) -
Pedro Beltrão,
Gerard Cagney,
Nevan J. Krogan
Publication year - 2010
Publication title -
cell
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 26.304
H-Index - 776
eISSN - 1097-4172
pISSN - 0092-8674
DOI - 10.1016/j.cell.2010.05.019
Subject(s) - reductionism , scope (computer science) , modularity (biology) , biology , universe , biological data , data science , computer science , evolutionary biology , astrophysics , epistemology , physics , bioinformatics , philosophy , programming language
Traditionally, research has been reductionist, characterizing the individual components of biological systems. But new technologies have increased the size and scope of biological data, and systems approaches have broadened the view of how these components are interconnected. Here, we discuss how quantitative mapping of genetic interactions enhances our view of biological systems, allowing their deeper interrogation across different biological scales.
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