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  \textbf{\textsc{STANFORD UNIVERSITY}}\\[5pt]
  \textbf{\textsc{DEPARTMENT OF STATISTICS}}\\[5pt]
  \Large{\textbf\textsc{{DEPARTMENTAL SEMINAR}}}
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\begin{center}
  4:15 p.m., Tuesday, April 11, 2006\\
  Sequoia Hall Room 200\\
  (Cookies at 3:45 in 1st Floor Lounge)
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\begin{center}
  \textsl{Balaji S. Srinivasan}\\
Depts. of Electrical Engineering \& Developmental Biology \\
Stanford University
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\large  \textbf{Network Integration Reveals Hidden Biology in 230 Microbes} \normalsize
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\noindent
We have combined four different kinds of functional genomic data to
create high coverage, probabilistic protein interaction networks for
230 microbes. Our integration algorithm naturally handles
statistically dependent predictors and automatically corrects for
differing noise levels and data corruption in different evidence
sources. We find that a plurality of the predictions in each
integrated network hinge on moderate but consistent evidence from
multiple sources rather than strong evidence from a single source,
yielding novel biology that would be missed if a single data source
such as coexpression or coinheritance were used in isolation.

\noindent
We demonstrate that these hidden interactions uncover new aspects of
well studied functional modules in a broad range of microbial species.
We accompany this analysis with a strategy for systematic,
computer-guided laboratory validation and present experimental
verification of our predictions in \textit{Caulobacter crescentus}.

\noindent
As our work represents the largest collection of probabilistic protein
interaction networks compiled to date, we have created tools for
network alignment to organize this information. By developing the
first scalable multiple network alignment algorithm, we have
identified thousands of conserved modules in diverse microbial 
species. Our integration, 
validation, and alignment algorithms can be applied to any sequenced organism
and any kind of experimental or computational technique which produces
pairwise measures of protein interaction.

\noindent
Short Biography: 

\noindent
Balaji Srinivasan received his bachelor's degree in Electrical Engineering 
and master's degrees in Chemical Engineering and Electrical
Engineering from Stanford University. He is currently a PhD student in
Electrical Engineering scheduled to defend on April 28, 2006. In July
2006 he will be joining the Statistics department as a VIGRE
postdoctoral fellow in the area of computational biology. His research
interests include systems biology, population genetics, and data
mining. His work on network integration received the best poster award at the
2005 Cold Spring Harbor Genome Informatics conference.



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