Problem Solving Handbook in Computational Biology and Bioinformatics
Description
Reviews / Votes
From the reviews:
"The editors of this handbook . have 'collect(ed) together, in one place, the algorithms and methods that form the modern bioinformatician's toolkit.' . Each chapter contains an introduction to the respective topic, detailed descriptions of the relevant algorithmic methods, software implementations, and applications, and concludes with advanced topics. . this handbook provides some value for researchers and practitioners in the field. . In summary, for most of the topics covered, this book complements the standard textbooks in a useful way." (Gunnar Klau, ACM Computing Reviews, June, 2011)
More details
Other editions
Additional editions
Content
Preface.- Pairwise Sequence Alignment.- Sequence and Sequence Alignment Statistics.- Practical Multiple Sequence Alignment.- Phylogenetic Trees from Sequences.- Phylogenetic Networks.- Modern BLAST Programs.- Stochastic Calculus and Stochastic Simulation.- Genomic Sequence Comparison.- Genome Rearrangements.- Population Genetics Data Analysis.- Genome Wide Association Studies.- Practical Implications of Coalescent Theory.- Networks in Computational Systems Biology.- Practical Use of the Gene Ontology.- Techniques for Protein Structure.- Microarray Experiment Statistics.- Reasoning with Protein Contact Maps .- Identifying Modules in Protein-Protein Interaction Networks.- Motifs for Transcriptional Regulation .- Time Course Analysis.- Computational Simulation of Biochemical Networks.- Biomedical Data Integration.- Functional Annotation and Discovery.- Matrix and Tensor Decompositions.- Text Processing and Mining.- Formal Logics.- Index.
