CMP243 Text and reserve list
This year the text for CMP is a draft of a new book by Graeme Mitchison,
Sean Eddy, Anders Krogh and Richard Durbin. We will be getting draft chapters
in installments from them, and reproducing them. You can also
retrieve the individual chapters in
postscript
if you see me for a password. (You need a newer printer to print these
postscript files. In CSE, the "coffee" printer works.)
In addition to this text, a number of books have been put
on reserve in the Science Library, from which there may be required
reading assignments. These are also available to students for
further research into the topic they choose for their project.
I also ordered an optional additional text, entitled "Introduction
to Computational Biology: Maps Sequences and Genomes" by Michael
Waterman, Chapman and Hall, 1995. This text is not required for the course,
and the bookstore has only a few copies. I also put a copy on reserve in the
Science Library. It is a good book on the mathematical foundations of the algorithms
used to determine and analyze biosequences. Material relevant to
our course is contained in chapters 8-14, but many of the topics
in these chapters will not be covered.
The following are available as postscript files
The following are on reserve in the Science Library:
- Waterman, Michael S.
Introduction to computational biology : maps, sequences and genomes
- Computer methods for macromolecular sequence analysis, edited by Russell F.
Doolittle.
- Schulze-Kremer, Steffen.
Molecular bioinformatics : algorithms and applications
- Biocomputing : informatics and genome projects,
edited by Douglas W. Smith.
- Pacific Symposium on Biocomputing, 1996, editors, Lawrence Hunter, Teri E.
Klein.
- C. Branden and J. Tooze.
Introduction to Protein Structure
- Sequence analysis primer, edited by Michael Gribskov and John Devereux.
- Campbell, Neil. Biology. 4th Edition. 1996.
(Text used for "From Gene to Protein" handout)
- Lehninger, Albert L.
Principles of biochemistry (1993 edition)
- Molecular cell biology, Harvey Lodish ... [et al.]. 3rd ed., 1995.
- Sheldon Ross. A first course in probability. 2nd edition.
- Andrew Gelman ... [et al.].
Bayesian data analysis
- Rabiner, Lawrence R.,
Fundamentals of speech recognition. (Note: this has basic
material on Hidden Markov Models)