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DTSTAMP:20250822T115805Z
LOCATION:Room 6.0D13
DTSTART;TZID=Europe/Stockholm:20250616T150000
DTEND;TZID=Europe/Stockholm:20250616T153000
UID:submissions.pasc-conference.org_PASC25_sess136_msa129@linklings.com
SUMMARY:Building Ultra-Large Pangenomes
DESCRIPTION:Yatish Turakhia (University of California San Diego)\n\nPangen
 omics is an emerging field that is allowing us to accurately and comprehen
 sively study the within-species genetic diversity and its relationship to 
 physical traits (phenotypes) by using a collection of genomes of a species
  instead of a single reference genome. Future pangenomics applications wou
 ld require analyzing ultra-large and ever-growing collections of genomes. 
 While existing pangenome data formats can represent the genetic variation 
 in a collection of genomes, they do not store their shared evolutionary an
 d mutational histories and are also unlikely to keep up with the speed and
  volume of genome sequencing data. In this talk, I will present ongoing wo
 rk from my lab on a novel pangenomic data representation that achieves sig
 nificant improvements in memory efficiency and the representative power of
  pangenomes. I will then discuss how we are leveraging GPUs and HPC system
 s to construct massive pangenomes consisting of millions of sequences. Whi
 le the focus will be on microbial genomes, I will also discuss how these a
 pproaches can be extended to more complex genomes.\n\nDomain: Engineering,
  Life Sciences\n\nSession Chairs: Bertil Schmidt (Johannes Gutenberg Unive
 rsity Mainz), Gagandeep Singh (AMD), and Sriranjani Sitaraman (AMD)\n\n
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