The uses of genome-wide yeast mutant collections
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* Corresponding author: Andre Goffeau goffeau@fysa.ucl.ac.be
Genome Biology 2004, 5:229 doi:10.1186/gb-2004-5-7-229
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BioMed Central: 4 citations
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Research article
The genetic control of growth rate: a systems biology study in yeast. Pinar Pir, Alex Gutteridge, Jian Wu, Bharat Rash, Douglas B Kell, Nianshu Zhang, Stephen G Oliver BMC Systems Biology 2012, 6:4 (13 January 2012) |
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Research
Christophe Rusniok, David Vallenet, Stéphanie Floquet, Helen Ewles, Coralie Mouzé-Soulama, Daniel Brown, Aurélie Lajus, Carmen Buchrieser, Claudine Médigue, Philippe Glaser, Vladimir Pelicic Genome Biology 2009, 10:R110 (9 October 2009) The genome of a clinical isolate of Neisseria meningitidis is described. This and other reannotated Neisseria genomes are compiled in a database. |
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Method
Broad network-based predictability of Saccharomyces cerevisiae gene loss-of-function phenotypes Kriston L McGary, Insuk Lee, Edward M Marcotte Genome Biology 2007, 8:R258 (5 December 2007) Loss-of-function phenotypes of yeast genes can be predicted from the loss-of-function phenotypes of their neighbours in functional gene networks. This could potentially be applied to the prediction of human disease genes. |
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Methodology article
Najaf A Shah, Richard J Laws, Bradley Wardman, Lue Zhao, John L Hartman BMC Systems Biology 2007, 1:3 (8 January 2007) Automated image analysis of yeast on agar culture arrays provides accurate data on yeast culture biomass, allowing robust quantitative modeling of yeast cell proliferation.
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