Accelerating In-Vivo Antibody Discovery: Unlocking Immunization Data & Maturation Pathways
We demonstrate how to accelerate the end-to-end in-vivo antibody discovery workflow, enabling teams to move from sequencing data to unlocking maturation pathways with confidence. What you’ll learn: -Identify emergent clones and immune responses -Perform repertoire-wide clustering and motif-level analysis to uncover convergent antibodies and track immune responses across selection rounds -Track clone dynamics with clarity -Monitor clonal expansion over time or across experimental arms (e.g., immunization strategy, treatment group, timepoint) to confidently identify winning candidates -Explore SHM-driven lineage trees to track clonal diversification, maturation trajectories, and the emergence of high-affinity antibodies -Streamline lead selection without coding -Apply real-world workflows to efficiently narrow hundreds or thousands of sequences down to best-in-class antibody leads -Learn how leading pharma and biotech teams work faster -Gain insights into how top antibody discovery groups reduce analysis bottlenecks, align teams, and accelerate time-to-lead

End-to-End Antibody Discovery: Yeast Display, Automation, AI, and Multispecifics

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