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A picture is worth a thousand words: Genomics to phenomics in the yeast Saccharomyces cerevisiae
Author(s) -
Vizeacoumar Franco J.,
Chong Yolanda,
Boone Charles,
Andrews Brenda J.
Publication year - 2009
Publication title -
febs letters
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.593
H-Index - 257
eISSN - 1873-3468
pISSN - 0014-5793
DOI - 10.1016/j.febslet.2009.03.068
Subject(s) - phenomics , decipher , computational biology , genomics , saccharomyces cerevisiae , yeast , variety (cybernetics) , functional genomics , computer science , data science , biology , genome , microbiology and biotechnology , bioinformatics , genetics , artificial intelligence , gene
Large scale cell biological experiments are beginning to be applied as a systems‐level approach to decipher mechanisms that govern cellular function in health and disease. The use of automated microscopes combined with digital imaging, machine learning and other analytical tools has enabled high‐content screening (HCS) in a variety of experimental systems. Successful HCS screens demand careful attention to assay development, data acquisition methods and available genomic tools. In this minireview, we highlight developments in this field pertaining to yeast cell biology and discuss how we have combined HCS with methods for automated yeast genetics (synthetic genetic array (SGA) analysis) to enable systematic analysis of cell biological phenotypes in a variety of genetic backgrounds.