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2005 Summer Program in Microarray Gene Expression Data Analysis Each summer the MBI hosts a 3-week education program. The first week is spent in a tutorial, which combines morning lectures with active learning laboratories in the afternoon. The following 2 weeks are spent working on guided team projects and participating in a miniconference to share project results. The program is meant primarily for graduate students; college instructors and qualified undergraduates will also be considered. 2005 Summer Program in Microarray Gene Expression Data Analysis: Program Leaders: Shili Lin and Joseph Verducci Monday 8/1 - Friday 8/5 Tutorial Week Presentation Materials: PPT1, PPT2, PDF1, PDF2, PDF3, PDF4
Project 1: Image analysis and normalization (cDNA array data) In this project, the participants will work on quantifying gene
expression levels from fluorescent intensities measured on microarray
hybridization experiments. After the image analysis, additional
work will be carried out to normalize the data to eliminate systematic
biases. Project 2: Identification of differentially expressed genes Project 3: Cluster analysis of gene expression data Project 4: Class discovery and prediction of tumor subtypes
The modification of chromatin immunoprecipitation (ChIP) to allow analysis on microarray (ChIP-on-chip) represents a genome-wide approach to investigate interactions between proteins and DNA. In this workshop, we will introduce the use of this novel technique to interrogate cancer epigenome such as profiling of histone modifications.
Mentors Statistics Mentors: Shili Lin and Joe Verducci Computational Mentors: Victor Jin, Greg Singer, and Ramana Davuluri Wet Lab Leaders: Pearlly Yan, Michael Chan, and Alfred Cheng
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