OCT 10, 2018 12:00 PM PDT

Sample to Insight: Everything You Need to Know About RNA Sequencing

SPONSORED BY: QIAGEN
C.E. CREDITS: P.A.C.E. CE | Florida CE
Speakers
  • Associate Director, NGS Assay Technologies, QIAGEN
    Biography
      Dr. Shaffer joined QIAGEN in 2009 and has since worked with various technology development groups, the most recent being miRNA technologies. He received his Ph.D. in biochemistry and molecular genetics from the University of Pittsburgh School of Medicine in 2008 where his research focused on determining the mechanisms that regulate non-receptor tyrosine kinase expression and activity. Dr. Shaffer did his postdoctoral training at SABiosciences Corporation, now part of QIAGEN. Currently, Dr. Shaffer is a Senior Scientist in product development at QIAGEN .

    Abstract:

    RNA sequencing unlocks the mysteries hidden in the transcriptome. Whether your goal is gene expression analysis, gene fusion analysis, SNP analysis or miRNA expression analysis, achieving high-performance library preparation can prove essential to maximizing your discoveries. In this webinar, you will learn about best practices, considerations and tips for library prep such as the use of unique molecular indices, as well as useful insights and advice for sample prep, sample QC, sequencing, data analysis and interpretation so you can achieve your greatest RNA-seq outcomes. 
     
    Whether you’re just beginning RNA sequencing or are an experienced transcriptomics researcher, this webinar has something new for you! Join us for an encyclopedic discussion of RNA sequencing with Dr. Jonathan Shaffer, Associate Director of NGS Assay Technologies, and learn everything you need to know about RNA sequencing (but were afraid to ask).

    Learning Objectives: 

    1. Understand the different types of RNA NGS  (Stranded transcriptome, targeted panels, 3' transcriptome and targeted panels,  and  miRNA) and  the differences in their library construction methods
    2. Learn the benefits of incorporating Unique Molecular Indices (UMIs) into RNA libraries
    3. Understand primary, secondary and tertiary RNAseq data analysis  and best practices


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