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SUMMARY:Statistical network analysis in computational genomics - Florian M
 arkowetz - Cancer Research UK
DTSTART:20091021T130000Z
DTEND:20091021T140000Z
UID:TALK21067@talks.cam.ac.uk
CONTACT:Microsoft Research Cambridge Talks Admins
DESCRIPTION: \nI will give a general introduction to two prominent fields 
 of functional genomics  and illustrate them by examples from my own resear
 ch.\n\nPart 1: gene perturbation screens: Functional genomics has demonstr
 ated considerable success in inferring the inner working of a cell through
  analysis of its response to various perturbations\, like drug treatment\,
  DNA mutations or RNA interference. In recent years several technological 
 advances have pushed gene perturbation screens to the forefront of functio
 nal genomics. I will give a short overview of computational and statistica
 l challenges arising from gene perturbation screens\, focussing on the fun
 ctional annotation of observed phenotypes in the context of cellular pathw
 ays and networks. This part is based on my ISMB 2009 tutorial (see http://
 arxiv.org/abs/0910.2938)\n\nPart 2: cancer genomics. With collaboration pa
 rtners at the CRI we are working on characterizing the  genomic landscape 
 of breast cancer. For 1000 tumours (and in the future 2000) we integrate c
 omplementary genomic data (ranging from DNA mutations and chromosomal copy
  number variation to  gene and microRNA expression) into a global picture 
 of the heterogeneity of the disease. The goal is to identify the molecular
  pathways and networks driving cancer and to stratify the patient populati
 on into homogeneous sub-groups. \n
LOCATION:Small public lecture room\, Microsoft Research Ltd\, 7 J J Thomso
 n Avenue (Off Madingley Road)\, Cambridge
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