An in-depth report on scoring
matrices
[Scott]
Fun with interval graphs [Deogun]
NEW
Hunting for Skewed Oligomers [Benson]
mRNA Degradation in Yeast [Taylor]
NEW
Also see papers in recent computational biology
conferences
and
journals [some papers are even available on-line]
NEW
See the following book for a description of past and current work in
applying machine learning to e.g. structure prediction, gene finding, database
searching, etc.:
-
Pierre Baldi.
Bioinformatics: The Machine Learning Approach.
MIT Press, 1998.
You can get this book from MIT Press and amazon.com. You may also check out a copy from the UNL Library, or borrow from Prof. Scott.
Also see Chapter 12 of the following book for a list of 117 open
problems in computational biology:
-
Pavel A. Pevzner.
Computational Molecular Biology: An Algorithmic Approach.
MIT Press, 2000.
You can get this book from MIT Press and amazon.com. You may also check out a copy from the UNL Library when it arrives, or borrow from Prof. Scott or Deogun.