Course Description BME 380
Bioinformatics and Computational Molecular Biology
This course is an introduction to the
application of computational methods to biological data for analysis and
for discovery. The focus will be on computational methods in Genomics and
Proteomics.
In Genomics, computational methods will include DNA sequencing and fragment assembly, identification of genes in DNA, gene regulation, expression, large data arrays,and methods to study genetic diversity,
In Proteomics, computational methods will embrace similarity, homology and analogy, protein folding and protein structure
At the conclusion of the course the
student should understand:
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How DNA sequences can be analyzed
to identify genes
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How sequences may be aligned to other
similar, but not identical sequences
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How the elements in the sequences may
have evolved, and what methods are useful to analyze that evolution
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How 3 dimensional structure and function
might be predicted from the sequences.
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How the human genome DNA is sequenced
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How technologies can exploit the uniqueness
of the genetic sequence in order to build gene detection arrays
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How to apply both classical and modern
techniques to detect/discover patterns / motifs in sequence data.
There are no rigid prerequisites. It
is assumed that the student will have some familiarity with concepts of
algorithms and computer basics, elementary biology ( particularly DNA,
proteins and genes), and rudiments of probability theory. MATLAB is a required tool
Required Texts:
MATLAB A computer application available at the UCONN bookstore for $99
Bioinformatics Sequence and Genome Analysis, D.W. Mount,Cold Spring Harbor Laboratory Press 2001 ISBN 0-87969-597-8 (2nd Ed Softcover. )
Suggested Texts:
Primer on Molecular Genetics (free download form Dept of Energy)
Introduction to Computational Molecular Biology, J.Setubal and J.Meidanis, PWS Publishing Company, ISBN: 0534952623
Data Mining Practical Machine Learning Tools and Techniques with JAVA Implementation. IH Witten and E Frank, Morgan Kaufmann Publishers, ISBN