Codon Optimization Improves the Prediction of Xylose Metabolism from Gene Content in Budding Yeasts.
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| Title: | Codon Optimization Improves the Prediction of Xylose Metabolism from Gene Content in Budding Yeasts. |
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| Authors: | Nalabothu RL; Laboratory of Genetics, J. F. Crow Institute for the Study of Evolution, Wisconsin Energy Institute, Center for Genomic Science Innovation, University of Wisconsin-Madison, Madison, WI.; DOE Great Lakes Bioenergy Research Center, University of Wisconsin-Madison, Madison, WI., Fisher KJ; Laboratory of Genetics, J. F. Crow Institute for the Study of Evolution, Wisconsin Energy Institute, Center for Genomic Science Innovation, University of Wisconsin-Madison, Madison, WI.; Department of Biological Sciences, State University of New York at Oswego, Oswego, NY., LaBella AL; Department of Biological Sciences, Vanderbilt University, Nashville, TN.; Evolutionary Studies Initiative, Vanderbilt University, Nashville, TN.; Department of Bioinformatics and Genomics, University of North Carolina at Charlotte, Charlotte, NC., Meyer TA; Laboratory of Genetics, J. F. Crow Institute for the Study of Evolution, Wisconsin Energy Institute, Center for Genomic Science Innovation, University of Wisconsin-Madison, Madison, WI.; DOE Great Lakes Bioenergy Research Center, University of Wisconsin-Madison, Madison, WI., Opulente DA; Laboratory of Genetics, J. F. Crow Institute for the Study of Evolution, Wisconsin Energy Institute, Center for Genomic Science Innovation, University of Wisconsin-Madison, Madison, WI.; DOE Great Lakes Bioenergy Research Center, University of Wisconsin-Madison, Madison, WI.; Department of Biology, Villanova University, Villanova, PA., Wolters JF; Laboratory of Genetics, J. F. Crow Institute for the Study of Evolution, Wisconsin Energy Institute, Center for Genomic Science Innovation, University of Wisconsin-Madison, Madison, WI.; DOE Great Lakes Bioenergy Research Center, University of Wisconsin-Madison, Madison, WI., Rokas A; Department of Biological Sciences, Vanderbilt University, Nashville, TN.; Evolutionary Studies Initiative, Vanderbilt University, Nashville, TN., Hittinger CT; Laboratory of Genetics, J. F. Crow Institute for the Study of Evolution, Wisconsin Energy Institute, Center for Genomic Science Innovation, University of Wisconsin-Madison, Madison, WI.; DOE Great Lakes Bioenergy Research Center, University of Wisconsin-Madison, Madison, WI. |
| Source: | Molecular biology and evolution [Mol Biol Evol] 2023 Jun 01; Vol. 40 (6). |
| Publication Type: | Journal Article; Research Support, U.S. Gov't, Non-P.H.S.; Research Support, N.I.H., Extramural; Research Support, Non-U.S. Gov't |
| Journal Info: | Publisher: Oxford University Press Country of Publication: United States NLM ID: 8501455 Publication Model: Print Cited Medium: Internet ISSN: 1537-1719 (Electronic) Linking ISSN: 07374038 NLM ISO Abbreviation: Mol Biol Evol Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 1537-1719 |
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| DOI: | 10.1093/molbev/msad111 |
