Серьёзная книга о биоинформатических алгоритмах.
Contents
1 Educating Biologists in the 21st Century: Bioinformatics Scientists versus Bioinformatics Technicians
2 Dynamic Programming Algorithms for Biological Sequence and Structure Comparison
3 Graph Theoretical Approaches to Delineate Dynamics of Biological Processes
4 Advances in Hidden Markov Models for Sequence Annotation
5 Sorting- and FFT-Based Techniques in the Discovery of Biopatterns
6 A Survey of Seeding for Sequence Alignmen
7 The Comparison of Phylogenetic Networks: Algorithms and Complexity
8 Formal Models of Gene Clusters
9 Integer Linear Programming Techniques for Discovering Approximate Gene Clusters
10 Efficient Combinatorial Algorithms for DNA Sequence Processing
11 Algorithms for Multiplex PCR Primer Set Selection with Amplification Length Constraints
12 Recent Developments in Alignment and Motif Finding for Sequences and Networks
13 Algorithms for Oligonucleotide Microarray Layout
14 Classification Accuracy Based Microarray Missing Value Imputation
15 Meta-Analysis of Microarray Data
16 Phasing Genotypes Using a Hidden Markov Model
17 Analytical and Algorithmic Methods for Haplotype Frequency Inference: What Do They Tell Us?
18 Optimization Methods for Genotype Data Analysis in Epidemiological Studies
19 Topological Indices in Combinatorial Chemistry
20 Efficient Algorithms for Structural Recall in Databases
21 Computational Approaches to Predict Protein–Protein and Domain–Domain Interactions
