Bioinformatics Algorithms : Techniques and Applications

Ion Mandoiu

ISBN 10: 0470097736 / ISBN 13: 9780470097731

Published by Wiley Feb 2008, 2008

About this Item

Neuware - Presents algorithmic techniques for solving problems in bioinformatics, including applications that shed new light on molecular biologyThis book introduces algorithmic techniques in bioinformatics, emphasizing their application to solving novel problems in post-genomic molecular biology. Beginning with a thought-provoking discussion on the role of algorithms in twenty-first-century bioinformatics education, Bioinformatics Algorithms covers:\*General algorithmic techniques, including dynamic programming, graph-theoretical methods, hidden Markov models, the fast Fourier transform, seeding, and approximation algorithms\*Algorithms and tools for genome and sequence analysis, including formal and approximate models for gene clusters, advanced algorithms for non-overlapping local alignments and genome tilings, multiplex PCR primer set selection, and sequence/network motif finding\*Microarray design and analysis, including algorithms for microarray physical design, missing value imputation, and meta-analysis of gene expression data\*Algorithmic issues arising in the analysis of genetic variation across human population, including computational inference of haplotypes from genotype data and disease association search in case/control epidemiologic studies\*Algorithmic approaches in structural and systems biology, including topological and structural classification in biochemistry, and prediction of protein-protein and domain-domain interactionsEach chapter begins with a self-contained introduction to a computational problem; continues with a brief review of the existing literature on the subject and an in-depth description of recent algorithmic and methodological developments; and concludes with a brief experimental study and a discussion of open research challenges. This clear and approachable presentation makes the book appropriate for researchers, practitioners, and graduate students alike.Ion I. M Andoiu, PhD, is Assistant Professor in the Computer Science and Engineering Department at the University of Connecticut. His research focuses on the design and analysis of exact and approximation algorithms for NP-hard optimization problems, particularly in the areas of bioinfor-matics and computational molecular biology, VLSI computer-aided design and manufacturing, and ad-hoc wireless networks.

Seller Inventory # 9780470097731

Bibliographic Details

• Title: Bioinformatics Algorithms : Techniques and Applications
• Publisher: Wiley Feb 2008
• Publication Date: 2008
• Language: English
• ISBN 10: 0470097736
• ISBN 13: 9780470097731
• Binding: Buch
• Condition: Neu
• Dimensions: 235W x 157H x 32D millimeters 235 millimeters width by 157 millimeters height by 32 millimeters depth
• Weight: 895 grams

About this title

Synopsis

Presents algorithmic techniques for solving problems in bioinformatics, including applications that shed new light on molecular biology

This book introduces algorithmic techniques in bioinformatics, emphasizing their application to solving novel problems in post-genomic molecular biology. Beginning with a thought-provoking discussion on the role of algorithms in twenty-first-century bioinformatics education, Bioinformatics Algorithms covers:

• General algorithmic techniques, including dynamic programming, graph-theoretical methods, hidden Markov models, the fast Fourier transform, seeding, and approximation algorithms

• Algorithms and tools for genome and sequence analysis, including formal and approximate models for gene clusters, advanced algorithms for non-overlapping local alignments and genome tilings, multiplex PCR primer set selection, and sequence/network motif finding

• Microarray design and analysis, including algorithms for microarray physical design, missing value imputation, and meta-analysis of gene expression data

• Algorithmic issues arising in the analysis of genetic variation across human population, including computational inference of haplotypes from genotype data and disease association search in case/control epidemiologic studies

• Algorithmic approaches in structural and systems biology, including topological and structural classification in biochemistry, and prediction of protein-protein and domain-domain interactions

Each chapter begins with a self-contained introduction to a computational problem; continues with a brief review of the existing literature on the subject and an in-depth description of recent algorithmic and methodological developments; and concludes with a brief experimental study and a discussion of open research challenges. This clear and approachable presentation makes the book appropriate for researchers, practitioners, and graduate students alike.

About the Author

Alexander Zelikovsky, PhD, is Associate Professor in the Computer Science Department at Georgia State University. His research focuses on discrete algorithms and their applications in bio-technology, bioinformatics, VLSI computer-aided design, and wireless networks.