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\centerline{\bf STANFORD UNIVERSITY}
\centerline{\bf DEPARTMENT OF STATISTICS}
\centerline{\bf JOINT STATISTICS AND BIOSTATISTICS SEMINAR}
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\centerline{4:15 p.m., Wednesday, November 10, 1999}
\centerline{Sequoia Hall Rm. 200}
\centerline{(Cookies at 3:45 in 1st Floor Lounge)}

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\centerline{\sl Sam Karlin}
\centerline{\sl Department of Mathematics}
\centerline{\sl Stanford University}
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\centerline{\bf The use of bioinformatics for }
\centerline{\bf analyzing and interpreting biomolecular sequence data}
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I will describe bioinformatics methods for the analysis of a protein family
using information based on evolutionary relationships (multiple sequence
alignments), mutation studies, protein structure (three 
dimensional crystal structure of some members of the protein family) and
function (results from biochemical and physiological experiments).  I
illustrate the analysis and interpretations on the RecA protein family (major
recombination/repair protein), on the heat shock protein 60 (HSP60) family
(corrects misfolded proteins), on the heat shock protein 70 family (chaperone
and translocase).  Each of these protein families has one to three structures
available and more than 100 sequence homologues from diverse species.  In this
context, bioinformatics concepts and techniques can combine function,
structure, and evolution information to extract insights, model mechanisms, and
suggest experiments.


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Please note that this seminar is on Wednesday instead of the usual Tuesday.

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