BMI Course Information
BMI 330 Topics in Translational Bioinformatics (3)
Instructor Information |
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Fall 2009 |
Course not offered |
Spring 2009 |
Course not offered |
Catalog Description
The course will cover bioinformatics methods and applications used in the field of translational medicine research. Topics will include bioinformatics data acquisition and management (e.g., microarrays, database modeling and integration), analysis methodologies (e.g., statistics, data mining) and applications.
Prerequisites
BMI 201 and BIO 340
Textbook and Other Materials
Bioinformatics: Sequence and Genome Analysis, 2nd ed., by David W Mount (Cold Spring Harbor Laboratory Press) 2004.
Course Learning Outcomes
Students who complete this course will be able to:
1. Identify and describe current database applications of informatics in translational bioinformatics
2. Identify and use informatics tools and techniques for biological sequence alignment
3. Identify and use informatics tools and techniques for performing disease association analysis using SNP genomic variation data
4. Identify and use informatics tools and techniques for analyzing gene expression data
5. Place existing applications in the context of the history of the field.
6. Describe likely future applications and probable growth areas
Major Topics and Time Covered
- Introduction to Translational Bioinformatics (1 week)
- Overview of relevant molecular biology topics and lab techniques (1 week)
- Sequence alignment, dynamic programming, BLAST (3 weeks)
- Disease association analysis: mutations, Single Nucleotide Polymorphisms, Linkage Disequilibrium, haplotypes, Genome Wide Association Studies (3 weeks)
- Gene expression analysis (3 weeks)
- Copy number variants and loss of heterozygosity (2 weeks)
- Future applications: Integrative data analysis, next generation sequencing (2 weeks)