Table of Contents

• Knowledge Discovery in GENBANKJeffery S. Aaronson, Juergen Haas, G. Christian Overton. 3-11
• Probabilistic Structure Calculations: A Three-Dimensional tRNA Structure from Sequence Correlation DataRuss B. Altman. 12-20
• Database Techniques for Biological Materials and MethodsKenneth Baclawski, Robert P. Futrelle, Natalya Fridman Noy, Maurice J. Pescitelli. 21-28
• The Induction of Rules for Predicting Chemical Carcinogenesis in RodentsDennis Bahler, Douglas W. Bristol. 29-37
• SENEX: A CLOS/CLIM Application for Molecular PathologySheldon S. Ball, Vei H. Mah. 38-46
• Using Dirichlet Mixture Priors to Derive Hidden Markov Models for Protein FamiliesMichael Brown, Richard Hughey, Anders Krogh, I. Saira Mian, Kimmen Sjölander, David Haussler. 47-55
• FLASH: A Fast Look-Up Algorithm for String HomologyAndrea Califano, Isidore Rigoutsos. 56-64
• Toward Multi-Strategy Parallel & Distributed Learning in Sequence AnalysisPhilip K. Chan, Salvatore J. Stolfo. 65-73
• Protein Structure Prediction: Selecting Salient Features from Large Candidate PoolsKevin J. Cherkauer, Jude W. Shavlik. 74-82
• Protein Topology Prediction through Parallel Constraint Logic ProgrammingDominic A. Clark, Christopher J. Rawlings, Jack Shirazi, André Véron, Mike Reeve. 83-91
• Knowledge-Based Generation of Machine-Learning Experiments: Learning with DNA Crystallography DataDawn M. Cohen, Casimir A. Kulikowski, Helen Berman. 92-100
• Representation for Discovery of Protein MotifsDarrell Conklin, Suzanne Fortier, Janice I. Glasgow. 101-108
• Protein Secondary-Structure Modeling with Probabilistic NetworksArthur L. Delcher, Simon Kasif, Harry R. Goldberg, William H. Hsu. 109-117
• Comparison of Two Variations of Neural Network Approaches to the Prediction of Protein Folding PatternInna Dubchak, Stephen R. Holbrook, Sung-Hou Kim. 118-126
• Protein Classification Using Neural NetworksEdgardo A. Ferrán, Pascual Ferrara, Bernard Pflugfelder. 127-135
• Pattern Recognition for Automated DNA Sequencing: I. On-Line Signal Conditioning and Feature Extraction for BasecallingJames B. Golden III, Deborah Torgersen, Clark Tibbetts. 136-144
• A Modular Learning Environment for Protein ModelingJérôme Gracy, Laurent Chiche, Jean Sallantin. 145-153
• Integrating Order and Distance Relationships from Heterogeneous MapsMark Graves. 154-162
• Inference of Order in Genetic SystemsJohn N. Guidi, Thomas H. Roderick. 163-171
• PALM - A Pattern Language for Molecular BiologyCarsten Helgesen, Peter R. Sibbald. 172-180
• Grammatical Formalization of Metabolic ProcessesRalf Hofestädt. 181-189
• Finding Relevant Biomolecular FeaturesLawrence Hunter, Teri E. Klein. 190-197
• Constructive Induction and Protein Tertiary Structure PredictionThomas R. Ioerger, Larry A. Rendell, Shankar Subramaniam. 198-206
• Representations of Metabolic KnowledgePeter D. Karp, Monica Riley. 207-215
• Protein Sequencing Experiment Planning Using AnalogyBrian P. Kettler, Lindley Darden. 216-224
• Detection of Correlations in tRNA Sequences with Structural ImplicationsTod M. Klingler, Douglas L. Brutlag. 225-233
• Design of an Object-Oriented Database for Reverse GeneticsKrys Kochut, Jonathan Arnold, John A. Miller, Walter D. Potter. 234-242
• A Small Automaton for Word Recognition in DNA SequencesChristophe Lefèvre, Joh-E Ikeda. 243-250
• Protein Secondary Structure Prediction Using Two-Level Case-Based ReasoningBing Leng, Bruce G. Buchanan, Hugh B. Nicholas. 251-259
• MultiMap: An Expert System for Automated Genetic Linkage MappingTara Cox Matise, Mark Perlin, Aravinda Chakravarti. 260-265
• Constructing a Distributed Object-Oriented System with Logical Constraints for Fluorescence-Activated Cell SortingToshiyuki Matsushima. 266-274
• Identification of Localized and Distributed Bottlenecks in Metabolic PathwaysMichael L. Mavrovouniotis. 275-283
• Discovering Sequence Similarity by the Algorithmic Significance MethodAleksandar Milosavljevic. 284-291
• Prediction of Primate Splice Junction Gene Sequences with a Cooperative Knowledge Acquisition SystemEngelbert Mephu Nguifo, Jean Sallantin. 292-300
• A Multi-Level Description Scheme of Protein ConformationKentaro Onizuka, Stephen T. C. Wong, Masato Ishikawa, Kiyoshi Asai. 301-309
• Genetic Algorithms for DNA Sequence AssemblyRebecca J. Parsons, Stephanie Forrest, Christian Burks. 310-318
• Object-Oriented Knowledge Bases for the Analysis of Prokaryotic and Eukaryotic GenomesGuy Perrière, Frank Dorkeld, François Rechenmann, Christian Gautier. 319-327
• Petri Net Representations in Metabolic PathwaysVenkatramana N. Reddy, Michael L. Mavrovouniotis, Michael N. Liebman. 328-336
• Minimizing Complexity in Cellular Automata Models of Self-ReplicationJames A. Reggia, Hui-Hsien Chou, Steven L. Armentrout, Yun Peng. 337-344
• Building Large Knowledge Bases in Molecular BiologyOlivier Schmeltzer, Claudine Médigue, P. Uvietta, François Rechenmann, Frank Dorkeld, Guy Perrière, Christian Gautier. 345-353
• Testing HIV Molecular Biology In itIn Silico PhysiologiesHans B. Sieburg, Cristobal Baray, Kevin S. Kunzelman. 354-361
• A Partial Digest Approach to Restriction Site MappingSteven Skiena, Gopalakrishnan Sundaram. 362-370
• Identification of Human Gene Functional Regions Based on Oligonucleotide CompositionVictor V. Solovyev, Charles B. Lawrence. 371-379
• A Service-Oriented Information Sources Database for the Biological SciencesGordon K. Springer, Timothy B. Patrick. 380-386
• Computationally Efficient Cluster Representation in Molecular Sequence MegaclassificationDavid J. States, Nomi L. Harris, Lawrence Hunter. 387-394
• Hidden Markov Models and Iterative Aligners: Study of Their Equivalence and PossibilitiesHidetoshi Tanaka, Masato Ishikawa, Kiyoshi Asai, Akihiko Konagaya. 395-401
• Protein Structure Prediction System Based on Artificial Neural NetworksJukka Vanhala, Kimmo Kaski. 402-410
• Pattern Discovery in Gene Regulation: Designing an Analysis EnvironmentStella Veretnik, Bruce R. Schatz. 411-419
• Transmembrane Segment Prediction from Protein Sequence DataSholom M. Weiss, Dawn M. Cohen, Nitin Indurkhya. 420-428
• Neural Networks for Molecular Sequence ClassificationCathy H. Wu, Michael W. Berry, Yuk-Shing Fung, Jerry McLarty. 429-437
• Automatic Derivation of Substructures Yields Novel Structural Building Blocks in Globular ProteinsXiru Zhang, Jacquelyn S. Fetrow, William A. Rennie, David L. Waltz, George Berg. 438-446
• A Constraint Reasoning System for Automating Sequence-Specific Resonance Assignments from Multidimensional Protein NMR SpectraDiane E. Zimmerman, Casimir A. Kulikowski, Gaetano T. Montelione. 447-455