Accelerating Recombinase Reprogramming with Machine Learning

Felix Lansing at SeamlessTx explores how data-driven approach accelerates the generation of high-performance recombinases, thereby expanding the therapeutic potential of gene editing.

seamless
Presented by
Felix Lansing, PhD
Felix Lansing, PhD
SeamlessTx, Co-founder and Chief Technology Officer

Covered in this Webinar
The therapeutic potential of recombinases in treating disease
Applying ML workflows to accelerate the evolution of novel recombinases
How SeamlessTx was able to cut their variant validation workflow down to 7-9 days by using Twist Gene Fragments to power accelerated AI-driven engineering pipelines

Felix Lansing at SeamlessTx explores how data-driven approach accelerates the generation of high-performance recombinases, thereby expanding the therapeutic potential of gene editing.

 

 

Results are specific to the institution where they were obtained and may not reflect the results achievable at other institutions.

For research use only, not for use in diagnostic procedures.

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