*********************************
There is now a CONTENT FREEZE for Mercury while we switch to a new platform. It began on Friday, March 10 at 6pm and will end on Wednesday, March 15 at noon. No new content can be created during this time, but all material in the system as of the beginning of the freeze will be migrated to the new platform, including users and groups. Functionally the new site is identical to the old one. webteam@gatech.edu
*********************************
Jun Liu, Department of Statistics Harvard University
Computational Approaches to Gene Regulation
Understanding how genes are regulated in various circumstances (e.g.,
heatshock, starvation, etc.) is a central problem in molecular biology.
The adoption of large-scale biological data generation techniques such as
the mRNA microarrays has enabled researchers to tackle the gene regulation
problem in a global way. I will survey some computational and statistical
strategies developed by our group on how to effectively use the gene
upstream sequence information in junction with mRNA expression microarray
data to dissect the gene regulatory network. I will describe in detail a
study of RacA binding activities in Bacillus Subtilis, explaining how
statistical approaches helped the biologists discover RacA's binding
sites. I will describe a new dimension reduction technique that has been
applied successfully to our gene regulation studies and show a cute
theorem supporting the technique.
Host: Xiaoming Huo & Jeff Wu
