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UID:45@cds.iisc.ac.in
DTSTART;TZID=Asia/Kolkata:20240311T090000
DTEND;TZID=Asia/Kolkata:20240311T100000
DTSTAMP:20240306T051313Z
URL:https://cds.iisc.ac.in/events/seminar-cds-online-11th-march-computatio
 nal-profiling-of-microbes-in-environments-pitfalls-controversies-and-solut
 ions/
SUMMARY:{Seminar} @ CDS: Online : 11th March: "Computational profiling of m
 icrobes in environments: pitfalls\, controversies\, and solutions"
DESCRIPTION:Department of Computational and Data Sciences\n\nDepartment Sem
 inar\n\n\n\nSPEAKER    : Dr. Jim Shaw\, Department of Mathematics at the
  University of Toronto\nTITLE           : "Computational profiling 
 of microbes in environments: pitfalls\, controversies\, and solutions"\nDa
 te &amp\; Time  : March 11\, 2024\, 09:00 AM\n\nVenue            
  : The Seminar will be held on MICROSOFT TEAMS. Please click on the fol
 lowing link to join the Seminar:\n\nhttps://teams.microsoft.com/l/meetup-j
 oin/19%3ameeting_NGZkMjVhNGYtNzZkMS00OGE3LTljNzItOTdhZTM1ZDMxNTdm%40thread
 .v2/0?context=%7b%22Tid%22%3a%226f15cd97-f6a7-41e3-b2c5-ad4193976476%22%2c
 %22Oid%22%3a%220df9a69b-76ed-46bd-a19d-e01995f351a6%22%7d\n\n\n\nABSTRACT\
 n\nDNA sequencing technology now allows researchers to detect the microorg
 anisms in your microbiomes\, such as your gut\, skin\, and even blood. Com
 putational methods for analyzing this data have enabled insights into the 
 relationship between our microbiomes and human health. DNA sequencing data
 \, however\, is notoriously messy\; computational methods are also imperfe
 ct.\n\nIn this talk\, I will first discuss how extremely subtle algorithmi
 c issues have led to controversy in the biological literature\, including 
 suspicion about a landmark paper in the study of cancer microbiomes. After
  giving an overview of the computational issues surrounding this field\, I
  will present our new computational method for profiling microbiomes calle
 d sylph (Shaw and Yu\, 2023\, bioRxiv). While sylph has high accuracy and 
 is &gt\; 30 times faster than previous methods\, I will focus on why our 
 new method works. More generally\, I will discuss the process of designing
  practical algorithms for complicated biological data\, which I believe is
  a treacherous but extremely rewarding process.\n\nBIOGRAPHY\n\nJim Shaw i
 s a PhD candidate in the Department of Mathematics at the University of To
 ronto under the supervision of Prof. Yun William Yu. His research centers 
 on developing efficient software and methods for computational biology fro
 m a mathematical point of view\, with a heavy emphasis on bridging the gap
  between theory and biological discovery. Jim is supported by an NSERC CGS
 -D\, and prior to his PhD\, he received a BASc in Engineering Physics and 
 Mathematics from the University of British Columbia.\n\nHost Faculty: Dr. 
 Chirag Jain\n\n\n\nALL ARE WELCOME
CATEGORIES:Events,Talks
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