Shiga toxin-producing E. coli (STEC) is a major foodborne pathogen. Its detection requires the preliminary testing, culture isolation and confirmation testing on single colonies. The whole process of obtaining a result normally takes a week or longer. Digital PCR aliquots a tube of reaction into thousands of tiny chambers and the majority of occupied chambers contain a single copy of the target. Experiments indicate that we can mobilize intact E. coli cells into the chamber, lyse the cells and PCR amplify the O-antigens and virulence genes from the same chamber. Thus, we can confirm if the virulence genes are carried by the given O-group E. coli without culture isolation of the bacterial strain. We have generated data using pure culture, culture-spiked bovine feces and ground beef and successfully differentiated STEC and non-STEC E. coli strains. Instead of a week-long process, this procedure is able to provide next-day results.

Part one of this two-part webinar series explores how long-read panels are transforming genomic analysis in cancer research.

In this session, we’ll introduce long-read sequencing and examine how it overcomes the limitations of short-read technologies – particularly in resolving complex cancer-associated structural variations, phasing haplotypes for allele-specific expression analysis in tumors and navigating challenging and often rearranged genomic regions in cancer. You’ll gain insights into the added value of long reads in capturing comprehensive genomic information relevant to tumor development and progression. 

We‘ll also highlight the role of hybrid capture technologies in enabling targeted enrichment for both long- and short-read platforms. This approach maximizes sequencing efficiency and data quality while expanding the reach of your analysis.

Join us as we lay the groundwork for understanding the complementary nature of long- and short-read sequencing – setting the stage for deeper, integrated analysis in part two of the series.

Part one of this two-part webinar series explores how long-read panels are transforming genomic analysis in cancer research.

In this session, we’ll introduce long-read sequencing and examine how it overcomes the limitations of short-read technologies – particularly in resolving complex cancer-associated structural variations, phasing haplotypes for allele-specific expression analysis in tumors and navigating challenging and often rearranged genomic regions in cancer. You’ll gain insights into the added value of long reads in capturing comprehensive genomic information relevant to tumor development and progression. 

We‘ll also highlight the role of hybrid capture technologies in enabling targeted enrichment for both long- and short-read platforms. This approach maximizes sequencing efficiency and data quality while expanding the reach of your analysis.

Join us as we lay the groundwork for understanding the complementary nature of long- and short-read sequencing – setting the stage for deeper, integrated analysis in part two of the series.

Building on the foundational knowledge from part one, this session focuses on the critical aspects of secondary analysis for long-read panel data. 

We’ll guide you through essential considerations for constructing high-performing bioinformatics workflows, including tailored read alignment strategies optimized for long reads, advanced variant calling algorithms to detect structural variations and tools for accurate haplotype phasing and visualization. 

Discover how to refine your pipeline to improve the accuracy and interpretability of your long-read data. Explore best practices for downstream analysis – empowering you to extract meaningful insights and apply them confidently in both research and diagnostic settings. 

By the end of this session, you’ll have a clear roadmap for leveraging the full potential of long-read panels in your genomic studies.

Building on the foundational knowledge from part one, this session focuses on the critical aspects of secondary analysis for long-read panel data. 

We’ll guide you through essential considerations for constructing high-performing bioinformatics workflows, including tailored read alignment strategies optimized for long reads, advanced variant calling algorithms to detect structural variations and tools for accurate haplotype phasing and visualization. 

Discover how to refine your pipeline to improve the accuracy and interpretability of your long-read data. Explore best practices for downstream analysis – empowering you to extract meaningful insights and apply them confidently in both research and diagnostic settings. 

By the end of this session, you’ll have a clear roadmap for leveraging the full potential of long-read panels in your genomic studies.