Unlock the full potential of your challenging FFPE samples! Join Chen Song, Ph.D. (New England Biolabs) and Yann Jouvenot, Ph.D. (n6) as they reveal how the synergy between iconPCR’s real-time AutoNorm technology and NEBNext library prep kits tackles variability in nucleic acid input and integrity—automating per-well normalization and preventing overcycling. Discover fresh application data, workflow innovations, and actionable strategies for streamlined, reproducible sequencing results. 

Who should attend: 

  1. NGS core lab managers 
  2. Clinical & translational genomics scientists 
  3. FFPE sequencing workflow specialists 
  4. Anyone striving for reliable library prep from difficult samples 

Key takeaways: 

  1. How real-time PCR control overcomes FFPE sample variability to produce libraries with 70% less variance in final concentrations compared to traditional methods 
  2. Simplified workflows—run inputs from 1 ng up to 250 ng at a single time, without the need to batch 
  3. Maintain sequencing quality and reproducibility without the PCR cycle guessing game 
  4. Practical integration tips for NEBNext kits with iconPCR in your lab 
  5. Prevent over amplification artifacts such as adapter dimers, PCR duplicates, and changes to gene expression profiles 

Speakers:

Chen Song, PhD.

Chen Song, PhD.

Manager, NGS Applications and Product Development, New England Biolabs

Chen is a development scientist at New England Biolabs, leading her team to develop novel, streamlined, and cutting-edge NGS solutions. She received her Ph.D. in Analytical Chemistry from Peking University and previously conducted biomarker assay development research at the National Center for Nanoscience and Dana-Farber Cancer Institute. 

Yann Jouvenot, PhD.

Yann Jouvenot, PhD.

Sr. Director of Product, n6

Yann is one of the initial members of the n6 team. With 20+ years of experience in biotech and molecular diagnostics. Yann has been helping lead the product development of iconPCR, including its performance in specific applications such as metagenomics. 

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