TOC:
- Grand challenges
in computational biology (D.B. Searls).
- A tutorial introduction
to computation for biologists (S.L. Salzberg).
- An introduction
to biological sequence analysis (K.H. Fasman, S.L. Salzberg).
- An introduction
to hidden Markov models for biological sequences (A. Krogh).
- Case-based reasoning
driven gene annotation (G.C. Overton, J. Haas).
- Classification-based
molecular sequence analysis (D.J. States, W.C. Reisdorf, Jr.)
- Computational gene
prediction using neural networks and similarity search (Y. Xu, E.C.
Uberbacher).
- Modeling dependencies
in pre-mRNA splicing signals (C.B. Burge).
- Evolutionary approaches
to computational biology (R.J. Parsons).
- Decision trees
and Markov chains for gene finding (S.L. Salzberg).
- Statistical analysis
of protein structures: using environmental features for multiple purposes
(L. Wei, J.T. Chang, R.B. Altman).
- Analysis and algorithms
for protein sequence-structure alignment (R.H. Lathrop et al.).
- THREADER: protein
sequence threading by double dynamic programming (D. Jones).
- From computer vision
to protein structure and association (H.J. Wolfson, R. Nussinov).
- Modeling biological
data and structure with probabilistic networks (S. Kasif, A.L. Delcher).
Appendix A: Software
and databases for computational biology on the Internet.
Appendix B: Suggestions for further reading in computational biology.
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