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SUMMARY:Computational approaches for deciphering the regulation of cancer 
 genomes  - Shamith Samarajiwa
DTSTART:20170223T110000Z
DTEND:20170223T120000Z
UID:TALK70765@talks.cam.ac.uk
CONTACT:Mohammad Taher Pilehvar
DESCRIPTION:Cancer consists of a collection of more than 200 different dis
 eases and arise due to aberrant changes in the genome. Even within a singl
 e cancer type these aberrant mutations can be dissimilar and lead to tumou
 r heterogeneity. Rapid technological advances in the last decade has given
  us the ability to “read” the genome sequence quickly and cheaply. Con
 sequently\, a number of large public cancer genome sequencing efforts have
  resulted in useful insights into carcinogenesis and treatment. The curren
 t state of cancer genomics will be briefly introduced.\n\nMy lab utilises 
 computational biology and data science approaches to understand carcinogen
 ic processes and systems involved in cancer. This includes developing besp
 oke computational methods\, tools and resources that are applied to differ
 ent biomedical data types. We’re particularly interested in using these 
 different functional genomic data layers to understand their joint influen
 ce on rules underlying gene and epigenome regulation and how these are per
 turbed in cancer. Some of our data integration methods (including our fora
 y into text mining and natural language processing) and resources used for
  building insightful maps and models of the cellular regulatory landscape 
 will be discussed.\n
LOCATION: SR-24\, English Faculty Building\, 9 West Road (Sidgwick Site)
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