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DTSTAMP:20250822T115809Z
LOCATION:Room 6.0D13
DTSTART;TZID=Europe/Stockholm:20250616T170000
DTEND;TZID=Europe/Stockholm:20250616T180000
UID:submissions.pasc-conference.org_PASC25_sess169@linklings.com
SUMMARY:AP1D - ACM Papers Session 1D
DESCRIPTION:Accelerated CNN-based Scans for Traces of Positive Selection\n
 \nPositive natural selection is the driving force that enables species<br 
 />to survive and reproduce in their environment. Localizing traces of posi
 tive selection has practical applications in studying virus evolution and 
 designing more effective drug treatments. State-of-the-art methods for the
  detec...\n\n\nSjoerd van den Belt and Nikolaos Alachiotis (University of 
 Twente)\n---------------------\nScalable Genomic Context Analysis with GCs
 nap2 on HPC Clusters\n\nGCsnap2 Cluster is a scalable, high performance to
 ol for genomic context analysis, developed to overcome the limitations of 
 its predecessor, GCsnap1 Desktop. Leveraging distributed computing with\nm
 pi4py.futures, GCsnap2 Cluster achieved a 22× improvement in execution tim
 e and can now perform genomic...\n\n\nReto Krummenacher and Osman Seckin S
 imsek (University of Basel); Michèle Leemann, Leila Alexander, and Torsten
  Schwede (University of Basel, Swiss Institute of Bioinformatics); Florina
  Ciorba (University of Basel); and Joana Pereira (University of Basel, Swi
 ss Institute of Bioinformatics)\n\nDomain: Engineering, Computational Meth
 ods and Applied Mathematics\n\nSession Chair: Nina Mujkanovic (ETH Zurich 
 / CSCS)
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