Bioinformatics Course

Fall 2009 - University of Tulsa
Special Topics: Bioinformatics

CS 4863/6863
KEP U10
MWF 01:00PM-01:50PM
Brett McKinney, PhD
Textbook: Introduction to Bioinformatics, 3rd edition.  Arthur Lesk.

Bioinformatics is a multidisciplinary field that incorporates a broad set of tools and methods to make sense of the vast amount of biological data that is accumulating.  The goal of this course is to give a general overview of modern bioinformatics techniques and for students to gain experience using various tools. A broad student audience is targeted: computer science, mathematics, biochemistry, physics, and biology.  If there are special topics of interest that are not represented below, please contact brett.mckinney@gmail.com.

Topics:
  • Biology in a Nutshell
  • Probability and Statistics in a Nutshell
  • More on Nutshells
  • Gene Ontology, Pathways, and other Databases
  • DNA and Protein Sequence Alignment
    • Dynamic programming
    • Multiple sequence alignment
    • Blast
  • Phylogenetics
  • Genome Analysis
    • Genome-wide association studies
    • Supervised microarray analysis, gene/protein expression
    • Cluster/unsupervised analysis
  • Structural Informatics
    • 3D protein structure, folding
    • Homology modeling
    • Protein-protein docking
  • Neuroinformatics
  • Immunoinformatics
  • Biomathematics
    • Predator-prey models
    • Ecological models
    • Biochemical kinetic