Heath S., Ramakrishnan N. (Eds.). Problem Solving Handbook in Computational Biology and Bioinformatics

Springer, 2011. - 366 p. - Bioinformatics is growing by leaps and bounds; theories/algorithms/statistical techniques are constantly evolving. Nevertheless, a core body of algorithmic ideas have emerged and researchers are beginning to adopt a "problem solving" approach to bioinformatics, wherein they use solutions to well-abstracted problems as building blocks to solve larger scope problems. Problem Solving Handbook for Computational Biology and Bioinformatics is an edited volume contributed by world renowned leaders in this field. This comprehensive handbook with problem solving emphasis, covers all relevant areas of computational biology and bioinformatics. Web resources and related themes are highlighted at every opportunity in this central easy-to-read reference. Designed for advanced-level students, researchers and professors in computer science and bioengineering as a reference or secondary text, this handbook is also suitable for professionals working in this industry.Pairwise Sequence Alignment
Sequence and Sequence Alignment Statistics
Practical Multiple Sequence Alignment
Phylogenetic Trees from Sequences
Phylogenetic Networks
Modern BLAST Programs
Shastic Calculus and Shastic 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