Presents algorithmic techniques for solving problems inbioinformatics, including applications that shed new light onmolecular biology
This book introduces algorithmic techniques in bioinformatics,emphasizing their application to solving novel problems inpost-genomic molecular biology. Beginning with a thought-provokingdiscussion on the role of algorithms in twenty-first-centurybioinformatics education, Bioinformatics Algorithms covers:
* General algorithmic techniques, including dynamic programming,graph-theoretical methods, hidden Markov models, the fast Fouriertransform, seeding, and approximation algorithms
* Algorithms and tools for genome and sequence analysis, includingformal and approximate models for gene clusters, advancedalgorithms for non-overlapping local alignments and genome tilings,multiplex PCR primer set selection, and sequence/network motiffinding
* Microarray design and analysis, including algorithms formicroarray physical design, missing value imputation, andmeta-analysis of gene expression data
* Algorithmic issues arising in the analysis of genetic variationacross human population, including computational inference ofhaplotypes from genotype data and disease association search incase/control epidemiologic studies
* Algorithmic approaches in structural and systems biology,including topological and structural classification inbiochemistry, and prediction of protein-protein and domain-domaininteractions
Each chapter begins with a self-contained introduction to acomputational problem; continues with a brief review of theexisting literature on the subject and an in-depth description ofrecent algorithmic and methodological developments; and concludeswith a brief experimental study and a discussion of open researchchallenges. This clear and approachable presentation makes the bookappropriate for researchers, practitioners, and graduate studentsalike.
Ion Mandoiu
Bioinformatics & Computational Biology Bioinformatik Bioinformatik u. Computersimulationen in der Biowissenschaften Biowissenschaften Computational Biology Electrical & Electronics Engineering Elektrotechnik u. Elektronik Life Sciences Mathematics Mathematik Mathematik in der Biologie Systems Engineering Systems Engineering & Management Systemtechnik u. -management
"This clear and approachable presentation makes the book appropriate for researchers, practioners, and graduate students." (Mathematical Reviews, Issue 2009b)
"This volume will be a nice addition to the bioinformatician's bookshelf." (Quarterly Review of Biology, December 2008)
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