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Interaction networks: Lessons from large‐scale studies in yeast
Author(s) -
Cagney Gerard
Publication year - 2009
Publication title -
proteomics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.26
H-Index - 167
eISSN - 1615-9861
pISSN - 1615-9853
DOI - 10.1002/pmic.200900177
Subject(s) - organism , model organism , yeast , saccharomyces cerevisiae , computational biology , biology , scale (ratio) , systems biology , data science , biological organism , genetics , computer science , gene , biological materials , geography , cartography , biological system
Saccharomyces cerevisiae is the simplest eukaryotic model organism and has made countless contributions to cell biology. The ease with which it can be genetically manipulated has made it a favourite organism among technologists for developing methods for large‐scale analysis based on reverse genetics. Consequently, more genomewide datasets describing aspects of gene and protein biology are available for yeast than for any other organism. This has led to the pioneering of many computational analysis techniques using yeast data. Here, we make a brief survey of yeast physical and genetic interaction networks, highlighting major experimental and computational achievements first described in this organism.