Join us for the miniWebinar "UMI-based Error Correction in Antibody Sequence Analysis with AbXtract™ to Preserve the Full Diversity of Campaign Leads" presented by Laura Spector, PhD, Scientist at Specifica LLC, a Q2 Solutions Company, on Thursday, October 20, 2022.
Webinar Summary
Next-generation sequencing (NGS) provides a more complete overview of an antibody populations from in-vitro selections, but two factors affect recovery of the full diversity of antibody sequences.
First, the accumulation of polymerase chain reaction (PCR) and sequencing errors contributes noise to a selection output where strongly skewed clonal frequency distributions make it challenging to distinguish true sequences by read counts alone.
Second, in applications where minimal sequence differences may affect developability properties, discriminating between distinct sequences without over-correcting for putative PCR or sequencing errors is crucial.
In this webinar, we describe how AbXtract™ in OpenEye’s Orion® Antibody Discovery Suite uses information encoded in NGS Unique Molecular Identifiers (UMIs) to simultaneously mask noise and preserve the full diversity of a selection output.
Webinar Agenda
The presentation details are:
- Advantages and applications of UMIs in immunosequencing
- Special design considerations for NGS with UMIs and automated floes
- Building highly accurate consensus sequences from UMI-tagged reads with tunable frequency thresholds
- Demonstrating the use of automated floes to identify and rank leads from antibody discovery campaigns using UMI-tagged NGS reads
