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SUMMARY:Harnessing naturally randomized transcription to infer regulatory 
 relationships among genes - Phil Charles\, Cambridge Centre for Proteomics
DTSTART:20080125T140000Z
DTEND:20080125T150000Z
UID:TALK10079@talks.cam.ac.uk
CONTACT:Dr N Karp
DESCRIPTION:Phil Charles will be presenting a paper\, which presents a the
 oretical result defining three testable conditions which together imply th
 e existence of a directed causal relationship among a pair of genes. This 
 can be used to infer a gene 'wiring diagram' at a given probability thresh
 old from an expression dataset. While the model currently only incorporate
 s transcript expression data\, there is scope for extension to include oth
 er quantitative sources of relationship data including proteomic and metab
 olomic.\n\nPaper details: Chen LS\, Emmert-Streib F\, Storey JD (2007) Har
 nessing naturally randomized transcription to infer regulatory relationshi
 ps among genes. Genome Biology 8:R219\n\nAbstract:\nWe develop an approach
  using randomized genotypes to rigorously infer causal regulatory relation
 ships among genes at the transcriptional level\, based on  experiments in 
 which genotyping and expression profiling are performed. This approach can
  be used to build transcriptional regulatory networks and to identify puta
 tive regulators of genes. We apply the method to an experiment in yeast\, 
 in which genes known to be in the same process and functions are recovered
  in the resulting transcriptional network.\n\nAll are welcome to attend.  
 Please just turn up on the day.\n\n
LOCATION:Meeting room 1 cambridge system biology centre
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