Simplifying Transcriptomics for Clinical Research with Ion AmpliSeq™ Technology

Gene expression profiling is a cornerstone of clinical and translational research, providing critical insights into disease biology, biomarker discovery, patient stratification, and therapeutic response. Yet many transcriptome analysis workflows remain limited by complex library preparation, long turnaround times, and inconsistent performance with precious or degraded clinical research samples.
Join this webinar to learn how the Ion AmpliSeq™ Transcriptome portfolio enables fast, sensitive, and reproducible transcriptome analysis designed to meet the demands of translational research.
We'll explore how targeted transcriptome sequencing can quantify the expression of more than 20,000 RefSeq genes from as little as 10 ng of input RNA, including challenging FFPE specimens commonly used in clinical research, while delivering results in as little as two days.
Whether you're investigating disease mechanisms, researching biomarkers, or developing gene expression signatures, discover how Ion AmpliSeq™ Transcriptome solutions can help accelerate your research with a fast, scalable, and easy-to-implement NGS workflow.
For Research Use Only. Not for use in diagnostic procedures.
Presenter: Phil Waggoner, PhD (Director, Chemistry & Data Analytics R&D, Thermo Fisher Scientific)
Phil Waggoner, Ph.D. is a genomics professional with experience supporting the development and adoption of next-generation sequencing (NGS) technologies for research and clinical applications. At Thermo Fisher Scientific, he collaborates across technical, commercial, and customer-facing teams to implement NGS solutions that support precision medicine. Phil earned his Ph.D. in Applied Physics from Cornell University, where his research focused on semiconductor technologies and biosensors, and he has authored several peer-reviewed publications in nanotechnology and genomics. His background spans scientific research, technology development, and commercial strategy, providing him with a broad perspective on the opportunities and challenges of applying NGS in clinical settings.
