Transcriptome sequencing (RNA-seq) of cancer samples for expression profiling and variant and gene fusion detection is a well-established method in scientific research and a powerful and rapidly emerging tool in clinical diagnostics. Various whole-transcriptome and targeted RNA sequencing methods as well as associated informatics algorithms have been developed for RNA-seq; however, standards for RNA-seq are still evolving. In this session, the speakers will discuss the utility of RNA-seq for profiling tumor samples, including informatics approaches for splicing analysis, gene fusion detection, expressed variant detection, and gene expression analysis.
RNA-seq for the Detection of Gene Fusions and Other Alterations in Cancer|
Kevin Halling, MD, PhD, Mayo Clinic, Rochester, MN, USA
Applications of RNA-Seq in Cancer
Olena Vaske, PhD, FCCMG, University of California, Santa Cruz, CA, USA
Objectives:
- Upon completion, participants will be able to describe the applications of RNA-seq in cancer.
- Upon completion, participants will be able to understand the technical challenges in standardizing RNA-seq.
- Upon completion, participants will be able to understand the strengths and limitations of the RNA-Seq technology.
Duration: 1.00 hr
Recording Date: November 9, 2019
CME/CMLE credit: 1.00 hr
Last day to purchase course and CE claim credit: December 24, 2022
