Courses
Gene Expression & Microarray Analysis
This is an intensive training course covering the main areas of microarray technology. The course focuses on microbial as well as plant gene expression and emphasizes theory, sample preparation, labeling, fluorescent imaging, microarray data analysis, and data mining. Hands-on laboratory sessions cover microarray tools, kits, reagents and services, experimental design, labeling, cDNA synthesis, sample preparation, microarray reaction, microarray detection, data analysis and modeling, Affymetrix demonstration and more.
Day 1
Lecture:- Overview of gene expression & microarrays
- Genome sequencing, oligonucleotide arrays, labeling & sensitivity
- Spotting media
- Printing arrays and quality considerations
- Pitfalls & troubleshooting of common microarray problems
Day 2
Lecture:- Microbial gene expression
- Eukaryotic gene expression
- Sample quality before hybridization
- AFFYMETRIX ARRAYS: Sample preparation, hybridization, array scanner, image and raw data
Day 3
Lecture:- Statistics for microarray analysis
- Mining of gene expression database
- Measuring error and data transformation for gene expression
- Data analysis and modeling: image and raw data, normalization methods
- Bioconductor, SAM, ArrayAssist, Pathway Tools, NetAffy
Day 4
Case Studies:- Alfalfa, bacterial metabolomics with arrays, yeast & fatty acid production
Instructors:
- Patti Champine, M.S., Center for Integrated BioSystems, USU
- Daryll DeWald, Ph.D., Biology, USU
- Jacob Parnell, PhD., Center for Integrated BioSystems, USU
- Kamal Rashid, Ph.D., Center for Integrated BioSystems, USU
- Giovanni Rompato, Ph.D., Center for Integrated BioSystems, USU
- John Stevens, Ph.D., Mathematics and Statistics, USU
