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Optimizing complex phenotypes through model-guided multiplex genome engineering
View ORCID ProfileGleb Kuznetsov, Daniel B. Goodman, Gabriel T. Filsinger, Matthieu Landon, Nadin Rohland, John Aach, Marc J. Lajoie, George M. Church
doi: https://doi.org/10.1101/086595
Gleb Kuznetsov
1Department of Genetics, Harvard Medical School, Boston, Massachusetts, USA
2Wyss Institute for Biologically Inspired Engineering, Harvard Medical School, Boston, Massachusetts, USA
3Program in Biophysics, Harvard University, Boston, Massachusetts, USA
Daniel B. Goodman
1Department of Genetics, Harvard Medical School, Boston, Massachusetts, USA
2Wyss Institute for Biologically Inspired Engineering, Harvard Medical School, Boston, Massachusetts, USA
Gabriel T. Filsinger
1Department of Genetics, Harvard Medical School, Boston, Massachusetts, USA
2Wyss Institute for Biologically Inspired Engineering, Harvard Medical School, Boston, Massachusetts, USA
4Systems Biology Graduate Program, Harvard Medical School, Boston, Massachusetts, USA
Matthieu Landon
1Department of Genetics, Harvard Medical School, Boston, Massachusetts, USA
4Systems Biology Graduate Program, Harvard Medical School, Boston, Massachusetts, USA
5Ecole des Mines de Paris, Mines Paristech, Paris, France
Nadin Rohland
1Department of Genetics, Harvard Medical School, Boston, Massachusetts, USA
John Aach
1Department of Genetics, Harvard Medical School, Boston, Massachusetts, USA
Marc J. Lajoie
1Department of Genetics, Harvard Medical School, Boston, Massachusetts, USA
2Wyss Institute for Biologically Inspired Engineering, Harvard Medical School, Boston, Massachusetts, USA
George M. Church
1Department of Genetics, Harvard Medical School, Boston, Massachusetts, USA
2Wyss Institute for Biologically Inspired Engineering, Harvard Medical School, Boston, Massachusetts, USA
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Posted November 09, 2016.
Optimizing complex phenotypes through model-guided multiplex genome engineering
Gleb Kuznetsov, Daniel B. Goodman, Gabriel T. Filsinger, Matthieu Landon, Nadin Rohland, John Aach, Marc J. Lajoie, George M. Church
bioRxiv 086595; doi: https://doi.org/10.1101/086595
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