Accelerating In-Vivo Antibody Discovery: Unlocking Immunization Data & Maturation Pathways

This webinar walks through the end-to-end in vivo antibody discovery workflow in Platforma, showing how teams move from sequencing data to fully reconstructed maturation pathways and a diversified panel of developable leads. Platforma is a no-code antibody discovery platform built on the open-source MiXCR toolkit. In this session, you'll see how to turn endpoint single-cell and bulk in vivo repertoire data into confident lead-selection decisions. What you'll learn: Identify emergent clones and immune responses: use MiXCR clonotyping and repertoire characterization to surface antigen-driven clonal expansion against background noise. Perform repertoire-wide clustering and motif-level analysis: group convergent antibodies into lineage and paratope clusters to uncover shared binding motifs and track responses across selection rounds. Track clone dynamics with clarity: monitor clonal expansion over time or across experimental arms — immunization strategy, treatment group, or timepoint — to identify winning candidates with confidence. Explore SHM-driven lineage trees: trace somatic hypermutation to follow clonal diversification, maturation trajectories, and the emergence of high-affinity antibodies. Streamline lead selection without coding: apply real-world workflows to narrow hundreds or thousands of sequences down to a diversified, developable lead panel, using an algorithmic In Vivo Score that balances clonal frequency, CDR mutation fraction, and nucleotide mutations. Reduce analysis bottlenecks: see how antibody discovery teams in pharma and biotech cut time-to-lead, align on reproducible decisions, and move faster. Methods and concepts covered: in vivo antibody discovery, single-cell BCR sequencing analysis, MiXCR clonotyping and V(D)J assembly, somatic hypermutation (SHM) lineage trees, repertoire-wide clustering, paratope and motif-level analysis, clonal expansion tracking across timepoints and treatment arms, sequence-liability and developability screening, and no-code lead selection. Questions this webinar answers: What software takes you from FASTQ files to ranked antibody leads? How do you build somatic hypermutation (SHM) lineage trees for antibodies? What software analyzes B-cell repertoire sequencing from immunized mice? What's the best no-code antibody lead selection tool? How do you analyze single-cell in vivo antibody repertoires? How do you track clonal expansion across timepoints or immunization arms? Explore Platforma for in vivo antibody discovery: https://platforma.bio/solutions/in-vi... Why Platforma: End-to-end, no-code workflow: run the full discovery pipeline — from raw sequencing to lead selection — in one interactive interface, without writing code or stitching together separate tools. Billion-scale processing: analyze billions of sequences without hitting computational bottlenecks or moving data between systems. Intelligent lead selection: rather than a naive Top-N sort that returns redundant clones, Platforma filters, scores, and diversifies — selecting the best representative from each clonal family to deliver a structurally diverse, developable lead panel in one step. Built around your biology: configure non-standard formats (VHH, bispecifics such as knob-in-hole, tri-specifics, custom scaffolds) and unconventional experimental designs (deep mutational scanning, pH-switch selection, multi-arm panning, Tite-Seq) to match your protocol Transparent, not a black box: every filter, weight, and ranking rule is visible and editable, with open-source, auditable block logic built on published, gold-standard engines like MiXCR. Deploy where your data lives: run in your own cloud or fully on-premise, with data sovereignty as a foundational feature — not an add-on.