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.

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Presented by

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.

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Genes

Oligo Pools

NGS Target Enrichment Solutions

Variant Libraries

Synthetic Controls

Antibody Discovery

Accelerating Recombinase Reprogramming with Machine Learning

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