ON DEMAND WEBINAR

Unlocking human microbiome clarity with PacBio HiFi sequencing

The human microbiome holds enormous potential to transform our understanding of health, disease, and therapeutic innovation—but only if we can see it clearly. Accurate, high-resolution sequencing of the human microbiome is critical for advancing our understanding of these areas and more.

In this webinar, you’ll hear from experts how PacBio HiFi sequencing empowers researchers to go beyond conventional methods by using full-length 16S rRNA gene sequencing and shotgun metagenomics. Learn how these methods deliver extraordinary accuracy and long-read resolution for uncovering species- and strain-level variation, novel taxa, and functional pathways in complex microbial communities.

Whether you're developing microbiome-based therapeutics, mapping microbial signatures of disease, or seeking to uncover new microbial functions, this session will demonstrate how HiFi sequencing unites clarity, depth, and accuracy in a single platform.

Watch the recording to:

  • Understand PacBio sequencing capabilities in the human microbiome field, for both amplicon (full-length 16S rRNA gene) and shotgun metagenomics approaches.
  • See how full-length 16S rRNA sequencing delivers species- and strain-level resolution, improving taxonomic accuracy and eliminating classification ambiguity common with short-read methods.
  • Learn how HiFi metagenomics produces complete metagenome-assembled genomes (MAGs), reveals novel organisms, and improves pathway and function annotation.
  • Hear two scientific research presentations utilizing HiFi sequencing in human health microbiome studies.


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SPEAKERS


Jeremy Wilkinson

Jeremy Wilkinson, PhD

Senior Staff Specialist, Microbial Genomics, PacBio
Host + moderator
An introduction to HiFi microbiome sequencing

Ashlee Earl

Ashlee M. Earl, PhD

Director, Bacterial Genomics, Broad Institute of MIT & Harvard
Kinnex connects the dots in recurrent urinary tract microbiomes

Jeremiah Minich

Jeremiah Minich, PhD

Assistant Professor, Department of Biology, Baylor University
Culture-independent meta-pan genomics enabled by long-read sequencing

Shreejoy Tripathy

Daniel Portik, PhD

Staff Bioinformatics Scientist, Computational Biology, PacBio
Live Q&A panelist






Austin McKenna
Rushi Panchal
Matt Hestand
Paul Cherng