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Bioinformatics Algorithms: Techniques and Applications
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Description: |
Bioinformatics Algorithms targets the future collaboration of researchers in algorithms, bioinformatics, and molecular biology. It addresses critical bioinformatics research areas of protein-protein interaction, molecular modelling in drug design and structural biology. Some of the most important topics in the field of bioinformatics are covered with selected topics that are gaining increased interest including drug design, gene finding and text mining in bioinformatics.
Each chapter begins with a self-contained introduction to a computational problem, briefly review the existing literature on the subject, describe in detail recent algorithmic and methodological developments, and conclude with brief experimental studies and a discussion of challenges that remain open. This presentation makes it easier for practitioners and researchers to seek additional material and have a better understanding of the techniques and algorithms being presented.
Authors bio: 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. |
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Contents: |
Preface ix Contributors xi
1 Educating Biologists in the 21st Century: Bioinformatics Scientists versus Bioinformatics Technicians Pavel Pevzner
PART I TECHNIQUES
2 Dynamic Programming Algorithms for Biological Sequence and Structure Comparison Yuzhen Ye and Haixu Tang
3 Graph Theoretical Approaches to Delineate Dynamics of Biological Processes Teresa M. Przytycka and Elena Zotenko
4 Advances in Hidden Markov Models for Sequence Annotation Bro?na Brejov´a, Daniel G. Brown, and Tom´a?s Vina?r
5 Sorting- and FFT-Based Techniques in the Discovery of Biopatterns Sudha Balla, Sanguthevar Rajasekaran, and Jaime Davila
6 A Survey of Seeding for Sequence Alignment Daniel G. Brown
7 The Comparison of Phylogenetic Networks: Algorithms and Complexity Paola Bonizzoni, Gianluca Della Vedova, Riccardo Dondi, and Giancarlo Mauri
PART II GENOME AND SEQUENCE ANALYSIS
8 Formal Models of Gene Clusters Anne Bergeron, Cedric Chauve, and Yannick Gingras
9 Integer Linear Programming Techniques for Discovering Approximate Gene Clusters Sven Rahmann and Gunnar W. Klau
10 Efficient Combinatorial Algorithms for DNA Sequence Processing Bhaskar DasGupta and Ming-Yang Kao
11 Algorithms for Multiplex PCR Primer Set Selection with Amplification Length Constraints K.M. Konwar, I.I. M?andoiu, A.C. Russell, and A.A. Shvartsman
12 Recent Developments in Alignment and Motif Finding for Sequences and Networks Sing-Hoi Sze
PART III MICROARRAY DESIGN AND DATA ANALYSIS
13 Algorithms for Oligonucleotide Microarray Layout S´ergio A. De Carvalho Jr. and Sven Rahmann
14 Classification Accuracy Based Microarray Missing Value Imputation Yi Shi, Zhipeng Cai, and Guohui Lin
15 Meta-Analysis of Microarray Data Saumyadipta Pyne, Steve Skiena, and Bruce Futcher
PART IV GENETIC VARIATION ANALYSIS
16 Phasing Genotypes Using a Hidden Markov Model P. Rastas, M. Koivisto, H. Mannila, and E. Ukkonen
17 Analytical and Algorithmic Methods for Haplotype Frequency Inference: What Do They Tell Us? Steven Hecht Orzack, Daniel Gusfield, Lakshman Subrahmanyan, Laurent Essioux, and Sebastien Lissarrague
18 Optimization Methods for Genotype Data Analysis in Epidemiological Studies Dumitru Brinza, Jingwu He, and Alexander Zelikovsky
PART V STRUCTURAL AND SYSTEMS BIOLOGY
19 Topological Indices in Combinatorial Chemistry Sergey Bereg
20 Efficient Algorithms for Structural Recall in Databases Hao Wang, Patra Volarath, and Robert W. Harrison
21 Computational Approaches to Predict Protein–Protein and Domain–Domain Interactions Raja Jothi and Teresa M. Przytycka Index |
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