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...
Συγγραφή απο Οργανισμό/Αρχή: | |
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Άλλοι συγγραφείς: | , |
Μορφή: | Ηλεκτρονική πηγή Ηλ. βιβλίο |
Γλώσσα: | English |
Έκδοση: |
Boston, MA :
Springer US,
2011.
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Θέματα: | |
Διαθέσιμο Online: | Full Text via HEAL-Link |
Πίνακας περιεχομένων:
- 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.