Mathematical Approaches to Polymer Sequence Analysis and Related Problems

An edited volume describing the latest developments in approaching the problem of polymer sequence analysis, with special emphasis on the most relevant biopolymers (peptides and DNA) but not limited to them. The chapters will include peptide sequence analysis, DNA sequence analysis, analysis of biopolymers and nonpolymers, sequence alignment problems, and more.

List of contents

Preface.- Complete and Exact Peptide Sequence Analysis based on Propositional Logic.- Divide & Conquer Strategies for Protein Structure Prediction.- Secondary Structure Classification of Isoform Protein Markers in Oncology.- Protein Fold Recognition by using Markov Logic Networks.- Mining Spatial Association Rules for Composite Motif Discovery.- Modeling Biochemical Pathways.- Haplotype Inference using Propositional Satisfiability.- Estimating Phylogenies from Molecular Data.- Population Stratification Analysis in Genome-Wide Association Studies.- Predicting and Measuring the Sequence Distribution of Addition Polymers.- Predicting and Measuring the Sequence Distribution of Condensation Polymers.- Index.

Summary

An edited volume describing the latest developments in approaching the problem of polymer sequence analysis, with special emphasis on the most relevant biopolymers (peptides and DNA) but not limited to them. The chapters will include peptide sequence analysis, DNA sequence analysis, analysis of biopolymers and nonpolymers, sequence alignment problems, and more.

Product details

• Assisted by: Renat Bruni (Editor), Renato Bruni (Editor)
• Publisher: Springer, Berlin
• Languages: English
• Product format: Paperback / Softback
• Released: 01.01.2010
• EAN: 9781489990198
• ISBN: 978-1-4899-9019-8
• No. of pages: 248
• Dimensions: 154 mm x 14 mm x 234 mm
• Weight: 403 g
• Illustrations: X, 248 p.
• Subjects: Natural sciences, medicine, IT, technology > Biology > Miscellaneous; B, bioinformatics, Life sciences: general issues, Biomedical and Life Sciences, Information technology: general issues, Biomedical Engineering and Bioengineering, Biomedical engineering, Computational and Systems Biology, Computational Biology/Bioinformatics