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December 19, 2019
Sponsored by
Qiagen

Evolution of Tumor Profiling in a Clinical Lab: Moving toward Comprehensive Genomic Profiling

GenomeWebinar

VP of Research and Development, NeoGenomics

This webinar will provide a first-hand look at how a clinical lab evolved its tumor profiling workflow from a targeted panel approach toward comprehensive genomic profiling.  

Cancer is a highly complex disease and understanding the various alterations that together determine mechanisms of disease onset, progression, recurrence, and response to treatment is not trivial. These alterations, however, are not all found at the DNA level. Multimodal approaches can generate a profile of these various alterations, but this approach requires a fragmented and challenging workflow.

More recently, the field has started moving toward comprehensive genomic profiling (CGP), enabling a snapshot of the genetic makeup of the tumor at a specific timepoint. This approach provides insights beyond mutations at the nucleotide level that may provide a better understanding of the state of the disease and the various pathways that modulate its progression and response to its environment, including treatment.

In this webinar, Vincent Funari of NeoGenomics will discuss how his team has evolved its profiling approaches for both heme and solid tumors from targeted panels to more comprehensive genomic profiling.

Dr. Funari will highlight tools that enable a more streamlined path for adopting CGP, enabling operational efficiencies such as reduced overall cost while delivering high-quality data. He will also share additional insights his team gained into alterations that were previously missed due to limitations of current technologies.

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Jul
09
Sponsored by
Illumina

In this webinar, Dr. Charlie Johnson, founder of the Texas A&M AgriLife Genomics and Bioinformatics Service, will share how his team is utilizing Illumina’s DRAGEN informatics platform in its high-throughput agrigenomics research program. 

Jul
16
Sponsored by
NanoString

Join this webinar to learn how spatial resolution of gene expression in tumor tissue reveals new insights in biomarker discovery and therapeutic response.