Required Texts
Bioinformatics Sequence and Genome Analysis, D.W. Mount, Cold Spring Harbor Laboratory Press ISBN 0-87969-608-7 (This is the 1st edition softcover. The UConn bookstore is expecting the 2nd edition in August. ISBN isn't available yet.)
Suggested Additional Text Books for the Course
Primer on Molecular Genetics (Download from the Department 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 1-55860-552-5.
Reference Books
Bioinformatics: The Machine Learning Approach, P. Baldi and S. Brunal, MIT Press, ISBN: 0-262-02442-X.
Bioinformatics: A Practical Guide to the Analysis of Genes and Proteins, A.D.Baxevanis and B.F.F.Ouellette, Wiley-Interscience, ISBN: 0471191965.
Strong Focus on Internet Resources: Guide to Human Genome Computing. Bishop,M. Ed. 2nd Edition. Academic Press, ISBN 0-12-102051-7.
For algorithms particularly in the context of computational biology: Algorithms on Strings, Trees and Sequences: Computer Science and Computational Biology, D. Gusfield, Cambridge University Press, ISBN: 0521585198.
For Hidden Markov Models: Biological Sequence Analysis: Probabilistic Models of Proteins and Nucleic Acids, R. Durbin, S. Eddy, A. Krogh, G. Mitchison, Cambridge University Press, ISBN: 0-521-62041.
For rigorous mathematics: Introduction to Computational Biology: Maps, Sequences, Genomes, M.S.Waterman, Chapman & Hall, ISBN: 0412993910.
Computational Molecular Biology, An Algorithmic Approach. P. A. Pezvener, MIT Press, ISBN 0-262-16197-4.
Other Useful Reference Texts
Nice overview but has some continuity problems: Bioinformatics Basics, Rashidi,H, Buehler,L CRC Press, 2000. ISBN 0-8493-2375-4.
Nice introductory segments,but a how-to-use existing software manual: Bioinformatics Computer Skills, Gibas,C Jambeck,P O'Reilly Press, 2001. ISBN 1-56592-664-1.
Really good on HMMs, signal and motif recognition: Computational Methods in Molecular Biology, Salzberg,, Searls, DB, Kasif, S eds. Elsevier, ISBN0-444-50204-1.
Finding Groups In Data, An Introduction to Cluster Analysis, Kaufman, l, Rousseeuw,P John Wiley and Sons, ISBN: 0-471-87876-6.
Multivariate Statistical Analysis, A Conceptual Introduction, Kachigan, S. Radius Press. ISBN: 0-942154-91-6.
Pattern Recognition, S Theodoridis, K Koutroumbas Academic Press, ISBN: 0-12-686140-4.
Pattern Discovery in Biomolecular Data Tools, Techniques, and Applications. Wang, J, Shapiro,B, Shasha,D Eds. Oxford University Press, ISBN 0-19-511940-1.
A real gem: Machine Learning, Mitchell, T, McGraw-Hill ISBN 0-07-042807-7.
FOR MOLECULAR BIOLOGY, BIOCHEMISTRY, GENETICS
Wonderful: Molecular Cell Biology - 4th Edition. Lodish,H, Berk, A, Zipursky,SL, Matsudaira, P, Baltimore, D, Darnell, J, WH Freeman and Company, ISBN 0-7167-3136-3.
Biochemistry - Second Edition. Voet, D, Voet, J John Wilet & Sons ISBN 0-471-58651-X.
A clear explanation of genetic concepts-also good history: Genetics a molecular approach Second Edition Brown, TA. Chapman and Hall ISBN 0-412-44730-4b.