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SUMMARY:Leveraging AI for Breakthroughs in Genomic Research - Mike Sikic\,
  Genome Institute of Singapore 
DTSTART:20240524T110000Z
DTEND:20240524T120000Z
UID:TALK216712@talks.cam.ac.uk
CONTACT:Chaitanya's Talks List
DESCRIPTION:This presentation will explore advancements in genomic researc
 h\, starting with de novo assembly\, where Šikić's lab leads with novel 
 applications of long reads technology. Herro\, an innovative AI-based erro
 r correction model\, increases the accuracy of simplex nanopore reads up t
 o two orders of magnitude\, starting a new era of genome sequencing with l
 ong and ultra reads whose accuracy exceeds 99.95 %. The talk will also int
 roduce GNNOME\, the lab's pioneering GNN-driven de novo assembly tool\, un
 locking the potential to decode increasingly complex genomes across variou
 s ploidy and aneuploidy levels—a future lab goal.\n\nIn the second part\
 , the talk will highlight the RNA 3D structure determination project. The 
 lab has developed RiNALMo\, the largest RNA language model with 650 millio
 n parameters. RiNALMo achieves previously unseen generalisation in downstr
 eam applications\, such as secondary structure and splice site predictions
 .\n\n \n\nBiography\n\n \n\nMile Šikić is the group leader at the Genome
  Institute of Singapore and a professor of computer science at the Univers
 ity of Zagreb\, Croatia. Throughout his scientific career\, he has special
 ized in developing algorithms and AI methods for genomics. His laboratory 
 has created several cutting-edge tools\, including the Racon consensus too
 l\, the Raven de novo assembler\, and the Edlib sequence aligner. Recently
 \, the focus of his lab has shifted towards integrating AI into the de nov
 o assembly process and innovating AI models to make RNA druggable.\n\n \n\
 nIn the initial decade of his career\, Dr Šikić was engaged in various i
 ndustry projects related to computer and mobile networks. He is an accompl
 ished entrepreneur\, having founded several ventures\, including a hedge f
 und.
LOCATION:Lecture Theatre 2\, Computer Laboratory\, William Gates Building
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