Difference between revisions of "Team:Vanderbilt/Practices/Collaborations"
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− | + | Our team had many productive collaborations with universities across the world. We were especially excited by the number of teams who approached us out of interest in the numerous mutation-reducing tools that our team has developed. We were happy to give these teams free access to our optimization techniques, which not only helped our collaborators to improve the stability of their genetic elements, but also helped us expand our techniques to new applications and even new organisms. | |
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− | + | University of Paris-Bettencourt: The team at Paris-Bettencourt approached us out of concern for the stability of their genetically engineered fermenting microbes. Given the importance of strict quality control and long-term stability in the applications that their team was envisioning for their project, they had a keen interest in making their genes more stable. We offered to optimized their fermentation genes using our computational algorithm. As their team did not have sufficient time to synthesize the genes we sent them, we also provided them with statistics on how many mutation-prone sites their original genes had and how much they can be improved for stability. | |
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Revision as of 01:49, 19 September 2015
Our team had many productive collaborations with universities across the world. We were especially excited by the number of teams who approached us out of interest in the numerous mutation-reducing tools that our team has developed. We were happy to give these teams free access to our optimization techniques, which not only helped our collaborators to improve the stability of their genetic elements, but also helped us expand our techniques to new applications and even new organisms.
University of Paris-Bettencourt: The team at Paris-Bettencourt approached us out of concern for the stability of their genetically engineered fermenting microbes. Given the importance of strict quality control and long-term stability in the applications that their team was envisioning for their project, they had a keen interest in making their genes more stable. We offered to optimized their fermentation genes using our computational algorithm. As their team did not have sufficient time to synthesize the genes we sent them, we also provided them with statistics on how many mutation-prone sites their original genes had and how much they can be improved for stability.
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