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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, December 5, 2006\\
  Sequoia Hall Room 200\\
  (Cookies at 3:45 in 1st Floor Lounge)
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\begin{center}
  \textsl{Chiara Sabatti} \\
Department of Statistics\\
University of California, Los Angeles
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  \textbf{Transcription Regulation Networks}
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\noindent

Transcription is the first step of the process with which the
static information coded in a genome determines the dynamic
behavior of a living cell. The regulation of transcription is
largely carried out by proteins that bind up-stream of the
controlled genes. Statistical analysis of the genome sequence can
help determine the location of binding site for such proteins,
thereby identify which genes they regulate and their possible
interactions. Gene expression array experiments provide
measurements of transcription levels and hence also contain
information on the transcription network. I will present a series
of statistical analysis of genome sequence and array data that
shed some light on the transcription network of E. Coli.

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