Quantitative genetic interactions reveal biological modularity.
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.
Beltrao
Pedro
P
Department of Cellular and Molecular Pharmacology, California Institute for Quantitative Biomedical Research, University of California, San Francisco, San Francisco, CA 94158, USA.
Cagney
Gerard
G
Krogan
Nevan J
NJ
D051046:Amino-Acid N-Acetyltransferase; D000818:Animals; D004843:Epistasis, Genetic; D053263:Gene Regulatory Networks; D006801:Humans; D049490:Systems Biology / Q000379:methods*
D051046:Amino-Acid N-Acetyltransferase