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...

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Détails bibliographiques
Cote:Libro Electrónico
Collectivité auteur: SpringerLink (Online service)
Autres auteurs: Heath, Lenwood S. (Éditeur intellectuel), Ramakrishnan, Naren (Éditeur intellectuel)
Format: Électronique eBook
Langue:Inglés
Publié: New York, NY : Springer US : Imprint: Springer, 2011.
Édition:1st ed. 2011.
Sujets:
Bioinformatics.
Algorithms.
Computational and Systems Biology.
Accès en ligne:Texto Completo
Table des matières:
  • 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.

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