Context influences on TALE-DNA binding revealed by quantitative profiling

Context influences on TALE-DNA binding revealed by quantitative profiling

Transcription activator-like effector (TALE) proteins recognize DNA using a seemingly simple DNA-binding code, which makes them attractive for use in genome engineering technologies that require precise targeting. Although this code is used successfully to design TALEs to target specific sequences,...

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Bibliographic Details
Main Authors: Rogers, Julia M. (Author), Reyon, Deepak (Author), Sander, Jeffry D. (Author), Kellis, Manolis (Contributor), Joung, J. Keith (Author), Bulyk, Martha L. (Contributor), Barrera, Luis Alberto (Contributor)
Other Authors: Harvard University- (Contributor), Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory (Contributor), Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science (Contributor)
Format: Article
Language:English
Published: Nature Publishing Group, 2015-09-14T13:58:01Z.
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