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Bioinformatics Workshop:Microarray Analysis and Clustering with R/Bioconductor

Thomas Girke

Friday, December 7, 2012
  9 a.m.–Noon


Location: Genomics Building Genomics Auditorium, RM 1102A
  Parking Information

Category: Seminar

Description: Description: The statistics software R and the associated BioConductor project have become the "gold standard" for microarray data analysis. The environment integrates the most advanced analysis tools that are currently available for this task. In addition, R contains a comprehensive set of functions and libraries for clustering large multidimensional data sets. This workshop will cover the following topics: (1) microarray data import/export using Affymetrix data as sample sets, (2) background correction and normalization procedures, (3) array quality assessment, (4) identification of differentially expressed genes, (4) enrichment analysis of Gene Ontology (GO) terms, and (5)  an overview on the usage of the most common clustering algorithms used for profiling data, such as hierarchical clustering, fuzzy K-means clustering, principal component analysis, multidimensional scaling, biclustering and quality assessment of clustering results. Basic knowledge of the R software, as introduced in the "Introduction to R" tutorial, will be expected in this workshop.  Manuals for this workshop: Microarray Analysis & Cluster Analysis
Maximum number of participants: 40

How to sign up: send chosen workshop date, your name, email address, title of your position, lab affiliation (PI) and department information to thomas.girke@ucr.edu.

Registration fee*: no charge for participants from registered labs, $23 for UCR members, $75 for participants from external academic institutions, and $102 for participants from commercial institutions.

Laptop requirements: Participants will work during the course from their own laptops (Win, Mac or Linux). The laptops should have a recent R version pre-installed. The installation instructions for the R software are provided in the installation section of the course manual. A functional wireless connection is recommended, but not essential.

Open to: General Public
Admission: Entry Charge:
Sponsor: Institute for Integrative Genome Biology

Contact Information:
Thomas Girke

thomas.girke@ucr.edu