BEGIN:VCALENDAR VERSION:2.0 PRODID:IEEE vTools.Events//EN CALSCALE:GREGORIAN BEGIN:VTIMEZONE TZID:Australia/Brisbane BEGIN:STANDARD DTSTART:19920301T020000 TZOFFSETFROM:+1100 TZOFFSETTO:+1000 TZNAME:AEST END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTAMP:20221129T002538Z UID:396CCC40-242F-49FC-AB87-4EC88E6E4ED9 DTSTART;TZID=Australia/Brisbane:20221122T103000 DTEND;TZID=Australia/Brisbane:20221122T113000 DESCRIPTION:The software and hardware solutions enabling CRISPR-based gene editing\nDr. Jake Bradford\, Queensland University of Technology\n\nAbstra ct\n\nCRISPR-Cas9 has become a leading tool for gene editing\, due to the ability to make very targeted modifications in virtually any genome of int erest. The technology relies on using a customisable “guide RNA” whose sequence controls where the modifications will be made. However\, designi ng these guide RNAs is not trivial. Identifying sequences that are unique enough not to lead to off-target modifications is particularly important. It is also computationally challenging. A given genome could have millions of potential CRISPR sites\, and brute-force approach of the off-target ev aluation would require comparing each site with every other site. In this presentation\, I will provide a historical perspective of the computationa l techniques used to assess off-target risk\, and provide details of how a dvanced data structures originally developed for searching web-scale colle ctions of data can accelerate this task. I will also discuss how cloud com puting can be leveraged for a scalable analysis of entire genomes.\n\nBio\ n\nDr Jake Bradford is an early career researcher in the School of Compute r Science at the Queensland University of Technology. He was awarded his P hD in 2022\, which focused on using algorithmic approaches for improving t he safety and efficiency of the CRISPR-Cas9 gene editing technology. Havin g a background in software engineering\, a significant contribution of his research included software that is scalable to extremely large genetic da ta. His research in this space is on-going\, and is now being adapted to m odern cloud computing environments where its availability can be greatly i ncreased at a very low cost. His research is being used to assist with eng ineering new gene editing technologies for the biotechnology and livestock industries\, and assists with designing CRISPR-based experiments for unde rstanding molecular pathways of reef-based organisms.\n\nCo-sponsored by: School of Computer Science\, Queensland University of Technology\n\nSpeake r(s): Jake Bradford\, \n\nVirtual: https://events.vtools.ieee.org/m/332192 LOCATION:Virtual: https://events.vtools.ieee.org/m/332192 ORGANIZER:dimitri.perrin@qut.edu.au SEQUENCE:8 SUMMARY:The software and hardware solutions enabling CRISPR-based gene edit ing URL;VALUE=URI:https://events.vtools.ieee.org/m/332192 X-ALT-DESC:Description: <br /><p><strong>The software and hardware solution s enabling CRISPR-based gene editing<br /></strong>Dr. Jake Bradford\, Que ensland University of Technology</p>\n<p>&nbsp\;</p>\n<p><strong>Abstract< /strong></p>\n<p>CRISPR-Cas9 has become a leading tool for gene editing\, due to the ability to make very targeted modifications in virtually any ge nome of interest. The technology relies on using a customisable &ldquo\;gu ide RNA&rdquo\; whose sequence controls where the modifications will be ma de. However\, designing these guide RNAs is not trivial. Identifying seque nces that are unique enough not to lead to off-target modifications is par ticularly important. It is also computationally challenging. A given genom e could have millions of potential CRISPR sites\, and brute-force approach of the off-target evaluation would require comparing each site with every other site. In this presentation\, I will provide a historical perspectiv e of the computational techniques used to assess off-target risk\, and pro vide details of how advanced data structures originally developed for sear ching web-scale collections of data can accelerate this task. I will also discuss how cloud computing can be leveraged for a scalable analysis of en tire genomes.</p>\n<p><strong>Bio</strong>&nbsp\;</p>\n<p>Dr Jake Bradford is an early career researcher in the School of Computer Science at the Qu eensland University of Technology. He was awarded his PhD in 2022\, which focused on using algorithmic approaches for improving the safety and effic iency of the CRISPR-Cas9 gene editing technology. Having a background in s oftware engineering\, a significant contribution of his research included software that is scalable to extremely large genetic data. His research in this space is on-going\, and is now being adapted to modern cloud computi ng environments where its availability can be greatly increased at a very low cost. His research is being used to assist with engineering new gene e diting technologies for the biotechnology and livestock industries\, and a ssists with designing CRISPR-based experiments for understanding molecular pathways of reef-based organisms.</p> END:VEVENT END:VCALENDAR