Bioinformatics: Microarray Analysis with Bioconductor Prerequisites
This course introduces researchers to a multidisciplinary approach to microarray data analysis. Particular attention is devoted to the design of microarray experiments, data normalization and quality control as well as to statistical analysis.
The course covers not only two-colour platforms but also the popular Illumina and Affymetrix single-channel technologies.
All aspects of the course are aimed at non-statisticians, suitable for beginners in microarrays as well as those who have already been working in genomics. The course may also be useful to computational biologists new to microarray analysis.
- Postgraduates
- Researchers
- Further details regarding Graduate School of Life Sciences' eligibility criteria are available
- Knowledge of what microarrays are and the basic principles of their application to gene expression studies are required
- Introductory training in R or at least completion and understanding of the R tutorial from computational biology group, Department of Oncology
Number of sessions: 3
| # | Date | Time | Venue | Trainer | |
|---|---|---|---|---|---|
| 1 | Wed 14 Sep 2011 09:30 - 17:30 | 09:30 - 17:30 | Department of Genetics, Room G12 | map | David Judge |
| 2 | Thu 15 Sep 2011 09:30 - 17:30 | 09:30 - 17:30 | Department of Genetics, Room G12 | map | David Judge |
| 3 | Fri 16 Sep 2011 09:30 - 17:30 | 09:30 - 17:30 | Department of Genetics, Room G12 | map | David Judge |
- Lecture: Introduction to R and Bioconductor
- Lecture: Data pre-processing
- Practical: First steps in R
- Practical: Introduction to limma
- Lecture: Experimental Design
- Lecture: Linear Models
- Lecture: Linear models continued
- Lecture: Statistics of differential expression
- Practical: Limma (differential expression)
- Lecture: Processing Illumina BeadChips
- Practical: Beadarray
- Lecture: Affymetrix arrays
- Practical: Affymetrix
- Lecture: Clustering
- Lecture: Pathway Enrichment Analysis
- Practical: Using GOstats to interpret Illumina data
- To understand how to approach designing microarray experiments planned in the lab
- To gain knowledge and understanding of microarray analysis and quality issues
- To gain confidence in performing preprocessing, quality assessment, and differential expression and downstream analysis using the limma program and other R libraries in Bioconductor
Presentations and practicals
Participants from the Wellcome Trust Sanger Institute do not need to book here, they should contact Dr Alex Bateman
3
A number of times per year
Booking / availability