4. ISMB 1996:
St. Louis,
MO,
USA
David J. States, Pankaj Agarwal, Terry Gaasterland, Lawrence Hunter, Randall Smith (Eds.):
Proceedings of the Fourth International Conference on Intelligent Systems for Molecular Biology, St. Louis, MO, USA, June 12-15 1996.
AAAI 1996, ISBN 1-57735-002-2
@proceedings{DBLP:conf/ismb/1996,
editor = {David J. States and
Pankaj Agarwal and
Terry Gaasterland and
Lawrence Hunter and
Randall Smith},
title = {Proceedings of the Fourth International Conference on Intelligent
Systems for Molecular Biology, St. Louis, MO, USA, June 12-15
1996},
booktitle = {ISMB},
publisher = {AAAI},
year = {1996},
isbn = {1-57735-002-2},
bibsource = {DBLP, http://dblp.uni-trier.de}
}
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Improving the Quality of Automatic DNA Sequence Assembly Using Fluorescent Trace-Data Classifications.
3-14
- Timothy L. Bailey, Michael Gribskov:
The Megaprior Heuristic for Discovering Protein Sequence Patterns.
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- Kim Baxter, Evan W. Steeg, Richard H. Lathrop, Janice I. Glasgow, Suzanne Fortier:
From Electron Density and Sequence to Structure: Integrating Protein Image Analysis and Threading for Structure Determination.
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- Alvis Brazma, Inge Jonassen, Esko Ukkonen, Jaak Vilo:
Discovering Patterns and Subfamilies in Biosequences.
34-43
- Philipp Bucher, Kay Hofmann:
A Sequence Similarity Search Algorithm Based on a Probabilistic Interpretation of an Alignment Scoring System.
44-51
- Olga D. Ermolaeva, Sergey A. Lukyanov, Eugene D. Sverdlov:
The Mathematical Model of Subtractive Hybridization and Its Practical Application.
52-58
- Mark Gerstein, Michael Levitt:
Using Iterative Dynamic Programming to Obtain Accurate Pairwise and Multiple Alignments of Protein Structures.
59-67
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GeneFisher-Software Support for the Detection of Postulated Genes.
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Ontological Foundations for Biology Knowledge Models.
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- Eric Harley, Anthony J. Bonner, Nathan Goodman:
Good Maps Are Straight.
88-97
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A Probabilistic Classification System for Predicting the Cellular Localization Sites of Proteins.
109-115
- Peter D. Karp, Christos A. Ouzounis, Suzanne M. Paley:
HinCyc: A Knowledge Base of the Complete Genome and Metabolic Pathways of H. influenzae.
116-124
- Jin Kim, James R. Cole, Eric Torng, Sakti Pramanik:
Inferring Relatedness of a Macromolecule to a Sequence Database Without Sequencing.
125-133
- David Kulp, David Haussler, Martin G. Reese, Frank H. Eeckman:
A Generalized Hidden Markov Model for the Recognition of Human Genes in DNA.
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- Fabrice Lefebvre:
A Grammar-Based Unification of Several Alignment and Folding Algorithms.
143-154
- Marcella A. McClure, Chris Smith, Pete Elton:
Parameterization Studies for the SAM and HMMER Methods of Hidden Markov Model Generation.
155-164
- James D. McIninch, William S. Hayes, Mark Borodovsky:
Applications of GeneMark in Multispecies Environments.
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Genome-Scale DNA Sequence Recognition by Hybridization to Short Oligomers.
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Characterization of Prokaryotic and Eukaryotic Promoters Using Hidden Markov Models.
182-191
- Burkhard Rost, Rita Casadio, Piero Fariselli:
Refining Neural Network Predictions for Helical Transmembrane Proteins by Dynamic Programming.
192-200
- Steven Salzberg, Xin Chen, John Henderson, Kenneth H. Fasman:
Finding Genes in DNA Using Decision Trees and Dynamic Programming.
201-210
- David J. States, Pankaj Agarwal:
Compact Encoding Strategies for DNA Sequence Similarity Search.
211-217
- Shankar Subramaniam, David K. Tcheng, James M. Fenton:
A Knowledge-Based Method for Protein Structure Refinement and Prediction.
218-229
- Thomas D. Wu, Douglas L. Brutlag:
Discovering Empirically Conserved Amino Acid Substitution Groups in Databases of Protein Families.
230-240
- Ying Xu, Edward C. Uberbacher:
Gene Prediction by Pattern Recognition and Homology Search.
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Gene Recognition in Cyanobacterium Genomic Sequence Data Using the Hidden Markov Model.
252-260
Copyright © Mon Nov 2 20:53:01 2009
by Michael Ley (ley@uni-trier.de)