Target of the Course
This 5 day lecture series provides an introduction to genomic data and
The main focus will be on microarray experiments, covering statistical topics
such as normalization, quality assessment, gene identification, machine
learning and inference for graphs and networks. Applications of these methods
to proteomics and other high throughput technologies will also be covered.
Computer laboratory material will be available for self-study.
Participants should have some minimal background on biological, statistical and computational aspects of microarrays, or other high-throughput data.
Participants interested in hands-on, interactive activities should
consider signing up for the lecture and laboratory series (space is
very limited). These require a basic knowledge of the R or S language.
The Focus of the Course
The focus will be on analysing and interpreting genomic data and particularly
microarray data. Other topics such as proteomics, array CGH etc. may also be covered,
depending on participant interest. Among the statistical topics: visualization, machine
learning and exploratory analyses will be emphasized. Methods for quality assessment,
for making use of biological metadata in a structured way, and for working with graphs
and networks (such as metabolic pathways) will be demonstrated. Some discussion
of methods for combining data, primarily via meta-analysis will also be presented.
The course consists of 10 morning lectures, 4 per day (8:30 - 12:00), distributed
on 5 days (Monday to Friday). Detailed case studies, suitable for self-study will be made available daily.
Participants are asked to bring their own laptops with the most recent copy of R and Bioconductor installed. An WiFi network card is welcome to connect to our local network.
We will have copies of both R and Bioconductor and we can help to install the software if needed once you are in Brixen.
The labs will be worked on in groups with expert guidance (all the lecturers from the morning sessions plus teaching assistants).
Please note: you will not have internet access easily though we will try to setup one machine to this goal. Hey! We are in the alps!
The course will be given by:
Robert Gentleman [Lectures and Labs], Head of Program in Computational Biology, Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle (WA), USA, Bioconductor and R Core Team.
Wolfgang Huber [Lectures and Labs], European Bioinformatics Institute, European Molecular Biology Laboratory, Wellcome Trust Genome Campus, Cambridge, England (UK) and Bioconductor.
Zhijin (Jean) Wu [Lectures and Labs], Center for Statistical Sciences, Brown University, Providence (RI), (USA).