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Automated Yeast Mating Protocol Using Open Reading Frames from Saccharomyces cerevisiae Genome to Improve Yeast Strains for Cellulosic Ethanol Production
Authors:Stephen R. Hughes   Ronald E. Hector   Joseph O. Rich   Nasib Qureshi   Kenneth M. Bischoff   Bruce S. Dien   Badal C. Saha   Siqing Liu   Elby J. Cox   John S. Jackson Jr.   David E. Sterner   Tauseef R. Butt   Joshua LaBaer  Michael A. Cotta
Affiliation:1United States Department of Agriculture (USDA)a, Agricultural Research Service (ARS), National Center for Agricultural Utilization Research (NCAUR), Bioproducts and Biocatalysis (BBC) Research Unit, Peoria, IL;2USDA, ARS, NCAUR, Fermentation Biotechnology (FBT) Research Unit, Peoria, IL;3Progenra, Inc., Malvern, PA;4LifeSensors, Inc., Malvern, PA;5Harvard Institute of Proteomics, Cambridge, MA
Abstract:
Keywords:laboratory automation for metabolic engineering of yeast   cellulosic ethanol production   high-throughput screen for anaerobic growth on xylose   ORFs from Saccharomyces cerevisiae genome
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