Problem Solving Handbook in Computational Biology and Bioinformatics
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 t...
| Corporate Author: | |
|---|---|
| Other Authors: | , |
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Boston, MA :
Springer US,
2011.
|
| Subjects: | |
| Online Access: | Full Text via HEAL-Link |
Table of Contents:
- 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.