Quantitative analysis of fitness and genetic interactions in yeast on a genome scale
Quantitative analysis of fitness and genetic interactions in yeast on a genome scale
About this item
Full title
Author / Creator
Baryshnikova, Anastasia , Costanzo, Michael , Kim, Yungil , Ding, Huiming , Koh, Judice , Toufighi, Kiana , Youn, Ji-Young , Ou, Jiongwen , San Luis, Bryan-Joseph , Bandyopadhyay, Sunayan , Hibbs, Matthew , Hess, David , Gingras, Anne-Claude , Bader, Gary D , Troyanskaya, Olga G , Brown, Grant W , Andrews, Brenda , Boone, Charles and Myers, Chad L
Publisher
New York: Nature Publishing Group US
Journal title
Language
English
Formats
Publication information
Publisher
New York: Nature Publishing Group US
Subjects
More information
Scope and Contents
Contents
A statistical approach to quantitatively derive single and double mutant fitness from colony-based growth assays is described. The resultant SGA score permits assessment of yeast fitness and genetic interactions on the genome scale.
Global quantitative analysis of genetic interactions is a powerful approach for deciphering the roles of genes and...
Alternative Titles
Full title
Quantitative analysis of fitness and genetic interactions in yeast on a genome scale
Authors, Artists and Contributors
Author / Creator
Costanzo, Michael
Kim, Yungil
Ding, Huiming
Koh, Judice
Toufighi, Kiana
Youn, Ji-Young
Ou, Jiongwen
San Luis, Bryan-Joseph
Bandyopadhyay, Sunayan
Hibbs, Matthew
Hess, David
Gingras, Anne-Claude
Bader, Gary D
Troyanskaya, Olga G
Brown, Grant W
Andrews, Brenda
Boone, Charles
Myers, Chad L
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_3117325
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_3117325
Other Identifiers
ISSN
1548-7091
E-ISSN
1548-7105
DOI
10.1038/nmeth.1534
