Geneart® Strings™ DNA Libraries – the Fast and Economic Way of DNA Library Production | AIChE

Geneart® Strings™ DNA Libraries – the Fast and Economic Way of DNA Library Production

Authors 

Netuschil, N. - Presenter, Thermo Fisher Scientific / GeneArt AG
Bauer, C., Thermo Fisher Scientific
Santl, T., Thermo Fisher Scientific / GeneArt AG
Greifenegger, N., Thermo Fisher Scientific / GeneArt AG
Kranz, C., Thermo Fisher Scientific / GeneArt AG
Liss, M., Thermo Fisher Scientific


GeneArt® Stringsâ?¢ DNA Libraries â?? the fast and economic way of DNA library production

Nikolai Netuschil, Claudia Bauer, Tobias Santl, Norbert Greifenegger, Christian Kranz, Michael Liss, Axel Trefzer

Thermo Fisher Scientific / GeneArt AG, Josef-Engert-Str. 11, 93053 Regensburg, Germany
Thermo Fisher Scientific offers an extensive portfolio around de novo gene synthesis which consistently keeps up-to-date with the latest demands and applications. Particularly, our Directed Evolution products deliver top-of-the-line quality, showcasing our technology leadership in the market. Current processes for DNA library production in which diversity is introduced into a sequence verified template are time and labor intensive and thus make degenerated libraries products at the upper end of the customer value continuum.
Here we report the development of GeneArt® Strings� DNA Libraries, a low cost library product that will
allow our customers to obtain libraries much faster and at significantly reduced cost.
By combining our longstanding expertise in the production of GeneArt® Combinatorial Libraries with our
very successful low cost gene synthesis product GeneArt® Strings� DNA Fragments, we are able to offer
an economical directed evolution solution to price sensitive academic and industrial customers alike: GeneArt® Strings� DNA Libraries allow for the introduction of all IUPAC defined ambiguous nucleotides into the customer sequence while providing the advantages of GeneArt® Strings� DNA Fragments of short production time, low price, flexible sequence design and full gene optimization options.