Mathematical Approaches to Polymer Sequence Analysis and Related Problems

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Many problems arising in biological, chemical and medical research, that could not be solved in the past due to their dimension and complexity, are nowadays tackled by means of automatic elaboration, thus creating the emerging field of Bioinformatics. However, the success of such approaches depends not only on brute computational strength of the computers on which the solution procedures run, but also, and often critically, on the mathematical quality of the models and of the algorithms underlying those solution procedures. The present volume offers a detailed overview of some of the most interesting mathematical approaches to sequence analysis and other sequence related problems. Special emphasis is devoted to problems concerning the most relevant biopolymers (proteins and genetic sequences), but the exposition is not limited to them. The target audience consists of researchers from many areas of Bioinformatics interested in sequence analysis problems either from a theoretical and mathematical point of view, such as mathematicians and computer scientists, or for more applicative and production-oriented reasons, such as biologists and medical researchers or practitioners working for chemical or pharmaceutical companies. The book should moreover be of use to mathematics students learning computational biology, or to biology students learning bioinformatics.

Author(s): Renato Bruni (auth.), Renato Bruni (eds.)
Edition: 1
Publisher: Springer-Verlag New York
Year: 2011

Language: English
Pages: 248
Tags: Bioinformatics; Computational Biology/Bioinformatics; Biomedical Engineering

Front Matter....Pages i-x
Complete and Exact Peptide Sequence Analysis Based on Propositional Logic....Pages 1-22
Divide and Conquer Strategies for Protein Structure Prediction....Pages 23-46
Secondary Structure Classification of Isoform Protein Markers in Oncology....Pages 47-67
Protein Fold Recognition Using Markov Logic Networks....Pages 69-85
Mining Spatial Association Rules for Composite Motif Discovery....Pages 87-109
Modeling Biochemical Pathways....Pages 111-126
Haplotype Inference Using Propositional Satisfiability....Pages 127-147
Estimating Phylogenies from Molecular Data....Pages 149-176
Population Stratification Analysis in Genome-Wide Association Studies....Pages 177-196
Predicting and Measuring the Sequence Distribution of Addition Polymers....Pages 197-225
Predicting and Measuring the Sequence Distribution of Condensation Polymers....Pages 227-246
Back Matter....Pages 247-248