Pacific Symposium on Biocomputing 2004: Hawaii, USA, 6-10 January 2004

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World Scientific, 2003 - Biology - 611 pages
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The Pacific Symposium on Biocomputing (PSB 2004) is an international, multidisciplinary conference for the presentation and discussion of current research on the theory and application of computational methods in problems of biological significance. The rigorously peer-reviewed papers and presentations are collected in this archival proceedings volume. PSB is a forum for the presentation of work on databases, algorithms, interfaces, visualization, modeling and other computational methods, as applied to biological problems, with emphasis on applications in data-rich areas of molecular biology. PSB 2004 brings together top researchers from the US, the Asia-Pacific region and the rest of the world to exchange research findings and address open issues in all aspects of computational biology. The proceedings have been selected for coverage in: . OCo Biochemistry & Biophysics Citation IndexOao. OCo Index to Scientific & Technical Proceedings- (ISTP- / ISI Proceedings). OCo Index to Scientific & Technical Proceedings (ISTP CDROM version / ISI Proceedings)."
 

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Contents

ALTERNATIVE SPLICING
3
The Effects of Alternative Splicing on Transmembrane Proteins
17
Detection of Novel Splice Forms in Human and Mouse Using
42
Transcriptome and Genome Conservation of Alternative Splicing
66
COMPUTATIONAL TOOLS FOR COMPLEX TRAIT
89
A Markov Chain Approach to Reconstruction of Long Haplotypes
104
A Comparison of Different Strategies for Computing Confidence
128
Haplotype Block Definition and Its Application
152
Predicting the Operon Structure of Bacillus subtilis Using
276
Combining Text Mining and Sequence Analysis to Discover
288
Discovery of Binding Motif Pairs from Protein Complex
312
Using ProteinProtein Interactions for Refining Gene Networks
336
Negative Information for Motif Discovery
360
The Status of Structural Genomics Defined Through the
375
Protein Structure and Fold Prediction Using TreeAugmented
387
Accurate Classification of Protein Structural Families Using
411

A Proposal for RDFS
166
An Evidence Ontology for Use in PathwayGenome Databases
190
The Compositional Structure of Gene Ontology Terms
214
A Source of Lexical Knowledge
238
JOINT LEARNING FROM MULTIPLE TYPES
262
Exploring Bias in the Protein Data Bank Using Contrast Classifiers
435
Protein Fold Recognition Through Application of Residual
459
A Mixed Integer Linear Programming MILP Framework
474
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About the author (2003)

Russ Altman is Chairman of the Bioengineering Department and Professor of Bioengineering, Genetics, and Medicine at Stanford University. His primary research interests are in the application of computing technology to basic molecular biological problems of relevance to medicine.

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