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.
Author(s): Jian Ma, Louxin Zhang (auth.), Lenwood S. Heath, Naren Ramakrishnan (eds.)
Edition: 1
Publisher: Springer US
Year: 2011
Language: English
Pages: 347
Tags: Computational Biology/Bioinformatics; Algorithm Analysis and Problem Complexity; Bioinformatics
Front Matter....Pages i-xvii
Front Matter....Pages 1-2
Modern BLAST Programs....Pages 3-19
Practical Multiple Sequence Alignment....Pages 21-43
Sequence Alignment Statistics....Pages 45-60
Front Matter....Pages 61-62
Practical Implications of Coalescent Theory....Pages 63-84
Graph Model of Coalescence with Recombinations....Pages 85-100
Phylogenetic Trees From Sequences....Pages 101-124
Evolutionary Phylogenetic Networks: Models and Issues....Pages 125-158
Genome Wide Association Studies....Pages 159-175
Front Matter....Pages 177-178
Novel Perspectives on Protein Structure Prediction....Pages 179-207
Stochastic Simulation for Biochemical Systems....Pages 209-230
Front Matter....Pages 231-232
Cellular Response Networks....Pages 233-252
Identification of Modules in Protein-Protein Interaction Networks....Pages 253-267
Front Matter....Pages 269-270
Designing Microarray Experiments....Pages 271-290
Matrix and Tensor Decompositions....Pages 291-318
Practical Applications of the Gene Ontology Resource....Pages 319-339
Back Matter....Pages 341-347
