Серьёзная книга о биоинформатических алгоритмах.Contents1 Educating Biologists in the 21st Century: Bioinformatics Scientists versus Bioinformatics Technicians2 Dynamic Programming Algorithms for Biological Sequence and Structure Comparison3 Graph Theoretical Approaches to Delineate Dynamics of Biological Processes4 Advances in Hidden Markov Models for Sequence Annotation5 Sorting- and FFT-Based Techniques in the Discovery of Biopatterns6 A Survey of Seeding for Sequence Alignmen7 The Comparison of Phylogenetic Networks: Algorithms and Complexity8 Formal Models of Gene Clusters9 Integer Linear Programming Techniques for Discovering Approximate Gene Clusters10 Efﬁcient Combinatorial Algorithms for DNA Sequence Processing11 Algorithms for Multiplex PCR Primer Set Selection with Ampliﬁcation Length Constraints12 Recent Developments in Alignment and Motif Finding for Sequences and Networks13 Algorithms for Oligonucleotide Microarray Layout14 Classiﬁcation Accuracy Based Microarray Missing Value Imputation15 Meta-Analysis of Microarray Data16 Phasing Genotypes Using a Hidden Markov Model17 Analytical and Algorithmic Methods for Haplotype Frequency Inference: What Do They Tell Us?18 Optimization Methods for Genotype Data Analysis in Epidemiological Studies19 Topological Indices in Combinatorial Chemistry20 Efﬁcient Algorithms for Structural Recall in Databases21 Computational Approaches to Predict Protein–Protein and Domain–Domain Interactions

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