Festival of Genomics Boston

Speaker: Mirna Jarosz, PhD | VP Product Strategy

Company: Ultima Genomics

• Discover how ppmSeq can detect part-per-million raw read error rates, or Q60 precision, for SNVs.
• Combine extreme, industry leading SNV accuracy with sequencing at scale to reach unprecedented resolution.
• Learn how to run the ppmSeq™ workflow and how it differs from traditional duplex methodologies.
• Explore application areas of interest such as liquid biopsy, MRD, somatic mosaicism and other emerging applications.

Speaker: Dennis Yuan, PhD | Postdoctoral Fellow

Institute: New York Genome Center

• Automate and miniaturize whole genome amplification and whole transcriptome capture of single cells for increased throughput.
• Reduce sequencing costs of single-cell whole genome libraries with Ultima Genomics.
• Lineage tracing using somatic mutations accumulated throughout entire genome retraces evolutionary of epithelial cells in aging human esophagus.
• Linking phenotypes of single-cells deciphers heritable transcriptional programs that lead to clonal fitness.

Speaker: Aziz Al'Khafaji, PhD | Associate Director, Methods Development Lab

Institute: Broad Institute of MIT and Harvard

• Single-cell genomics methods are rapidly expanding due to the high demand set by experiments with more cells, analytes, and perturbations.
• In this talk I’ll showcase the latest single cell applications of Ultima technologies and how they’re supporting the expansion and scaling up of single cell genomics.
• I’ll cover the new opportunities this brings researchers and the challenges that still need to be considered.

Speaker: Julian Hess | Computational Scientist

Institute: Broad Institute of MIT and Harvard

• Developed and rigorously benchmarked a highly sensitive and specific somatic mutation detection pipeline to work with Ultima sequencing data whose somatic variant calling performance is comparable or better than other sequencing technologies.
• Performed Ultima WGS on 303 cancer rapid autopsy samples across 32 patients, and constructed phylogenetic trees charting their clonal evolution.
• We demonstrate trees generated from Ultima WGS data are more detailed than ones generated from whole exome replicates, revealing novel insights into cancer evolution, and illustrating the importance of WGS for cancer genomics.