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SUMMARY:Prioritization of mutations in coding and noncoding regions of the
  human genome using machine learning approaches - Dr Sudhakaran Prabakaran
  (Dept of Genetics)
DTSTART:20190213T140000Z
DTEND:20190213T150000Z
UID:TALK116299@talks.cam.ac.uk
CONTACT:46925
DESCRIPTION:Abstract:\nWith over 3-5 million variants between any two huma
 n genomes it is difficult to identify and prioritize variants involved in 
 a particular physiological condition. The problem is not trivial with 90% 
 of variants mapping to noncoding regions\, which may or may not have biolo
 gical functions attributed to them. In this talk\, I will discuss existing
  frameworks and algorithms that aid in prioritizing variants in both codin
 g and noncoding regions and discuss the challenges we face. I will also di
 scuss some aspects of our own work in developing classifiers to prioritize
  variants in certain regions of the noncoding genome. 
LOCATION:MR4\, Centre for Mathematical Sciences\, Wilberforce Road\, Cambr
 idge
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