Ewens and Grant: Statistical Methods in Bioinformatics: An Introduction.
Springer, 2002.
Ch. 4.4-4.9, Ch. 11 (Markov Chains and Hidden Markov Models).
Selected articles on gene prediction (see the lecture slides):
Uberbacher, E.C. and Mural, R.J. (1991).
Locating protein-coding regions in human DNA sequences by a multiple
sensor-neural network approach.
Proc. Natl. Acad. Sci. USA,88, 11261-11265
Pedersen, A.G., and Nielsen, H. (1997).
Neural network prediction of translation initiation sites in
eukaryotes: Perspectives for EST and Genome analysis.
In Proceedings of the 5th International Conference on Intelligent
Systems for Molecular Biology, ISMB97, AAAI Press, 226-233.
Hatzigeorgiou, A.G. (2002).
Translation initiation start prediction in human cDNAs with high
accuracy.
Bioinformatics,18, 343-350.
Burset, M. and Guigo, R. (1996).
Evaluation of gene structure prediction programs.
Genomics,34, 353-367.
Claverie, J.-M. (1997).
Computational methods for the identification of genes in vertebrate
genome sequences.
Hum. Mol. Genet.,6, 1735-1744.
Krogh, A., Saira Mian, I., and Haussler, D. (1994).
A Hidden Markov Model that finds genes in E. coli DNA.
Nucleic Acids Res.,22, 4768-4778.
Burge, C. and Karlin, S. (1997).
Prediction of complete gene structures in human genomic DNA.
J. Mol. Biol.,268, 78-94.
Gene Ontology (see the lecture slides):
The Gene Ontology Consortium (2000).
Gene Ontology: tool for the unification of biology.
Nat. Genet.25, 25-29.
The Gene Ontology Consortium (2004).
The Gene Ontology (GO) database and informatics resource.
Nucleic Acids Res.,32, D258-D261.