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Dataset Information

Improved functional overview of protein complexes using inferred epistatic relationships.


ABSTRACT:

Background

Epistatic Miniarray Profiling(E-MAP) quantifies the net effect on growth rate of disrupting pairs of genes, often producing phenotypes that may be more (negative epistasis) or less (positive epistasis) severe than the phenotype predicted based on single gene disruptions. Epistatic interactions are important for understanding cell biology because they define relationships between individual genes, and between sets of genes involved in biochemical pathways and protein complexes. Each E-MAP screen quantifies the interactions between a logically selected subset of genes (e.g. genes whose products share a common function). Interactions that occur between genes involved in different cellular processes are not as frequently measured, yet these interactions are important for pro

SUBMITTER: Ryan C 

PROVIDER: S-EPMC3117733 | biostudies-literature | 2011 May

REPOSITORIES: biostudies-literature