ON-DEMAND WEBINAR

Bioinformatics Resources to Analyze HiFi Cancer Genomes

PacBio HiFi sequencing enables more complete and accurate characterization of cancer genomes than ever before. However, going from sequences to variant calls requires tools specifically developed to take advantage of the characteristics of HiFi data. This includes tools for calling somatic single-nucleotide variants, indels, CNVs, structural variants, methylation, and mutational signatures.

In this webinar, we present bioinformatic solutions for calling these variant types, as well as integrating them into a single, easy-to-use pipeline.

Watch the recording to:

  • Understand how HiFi reads can unlock cancer genomes.
  • Learn about bioinformatics solutions and benchmarking for calling somatic single nucleotide variants, indels, CNVs, structural variants, differential methylation, and mutational signatures.
  • Discover a single, user-friendly pipeline for analyzing somatic variants in HiFi cancer genomes.

Don’t forget to stick around and have your questions answered during the live Q&A session after the presentations!

This event is part of the PacBio bioinformatics webinar series, which aims to provide scientists and researchers with analysis tools and strategies to uncover meaningful biological insights from HiFi data. Watch the previous webinar in the series here, and explore more on our webinars page.

The PacBio bioinformatics webinar series demonstrates bioinformatic analysis options for meaningful biological insights from HiFi and SBB data. View other webinars in the series on-demand below:

  • Understand how HiFi reads can unlock cancer genomes.
  • Learn about bioinformatics solutions and benchmarking for calling somatic single nucleotide variants, indels, CNVs, structural variants, differential methylation, and mutational signatures.
  • Discover a single, user-friendly pipeline for analyzing somatic variants in HiFi cancer genomes.

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Speakers

Alex Sockell, PhD

Segment Manager, Cancer Genomics, PacBio

Khi Pin Chua, PhD

Senior Scientist, Computational Biology, Bioinformatics, PacBio

Matthew Hestand

Manager, Field Applications, Bioinformatics, PacBio
Host and moderator