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...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Άλλοι συγγραφείς: Heath, Lenwood S. (Επιμελητής έκδοσης), Ramakrishnan, Naren (Επιμελητής έκδοσης)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Boston, MA : Springer US, 2011.
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.