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Statistical Analysis and Interpretation of Microarray Data

Genomic scale microarray expression profiling requires an understanding of the limitations of currently available technology. We recommend that each investigator take time before submitting samples to discuss the project with an array statistics specialist in the lab in order to determine the best allocation of funds and effort. 

Please contact Michael Showe with your question.

This consultation will help predict the number of replicates needed for each experiment and estimate the time and cost of a project. We believe that this model improves the chances that the arrays used will yield results you can have confidence in. Please click to see a common scheme for microarray analysis.

Example Hierarchical Clustering 
Example of SAM Plot
Example of Principle Component Analysis  
 
Currently we are using the following programs to analyze array data:

1) J-Express: J-Express is a java application for the analysis of microarray  gene expression. Includes hierarchical clustering, self-organizing maps, principal component analysis, k-means, profile searching, and integrated tools for visualisation. J-Express has been developed in the bioinformatics research group at the Dept. of Informatics, UoB by Bjarte Dysvik and Inge Jonassen, and is available free of charge to academic labs.

2) Genesight: The analysis and mining tool integrated into Biodiscovery's analysis suite specifically designed for microarray data.

3) Cluster and Treeview: Excellent programs created by Michael Eisen et. al visualizing microarray data in various forms such as hierarchical clustering and self organizing maps and freely distributed to academic labs. Eisen et al. (1998) PNAS 95:14863  

4) SAM (Statistical Analysis of Microarrays) A helpful, freely available excel macro

The program is described in the following paper, PNAS 2001 98: 5116-5121, (Apr 24), Tusher, Tibshirani and Chu (2001): as a method of correlating gene expression data to a wide variety of clinical parameters including treatment, diagnosis categories, survival time and time trends. Program also facilitates estimation of  False Discovery Rate for multiple testing.
"Significance analysis of microarrays applied to the ionizing radiation response" (ps file).
(pdf version).

We also recommend the following Websites:

1)      KEGG (Kyoto Encyclopedia of Genes and Genomes) This internet database is in the GenomeNet consortium, and described as a Japanese network of database and computational services for genome research and related research areas in molecular and cellular biology.

2)      SOURCE a free resource for academic researchers capable of rapidly updating annotation of thousands of genes in seconds. This internet database is helpful for updating annotation of clone sets based on unigene, clone ID, and/or accession number.

3) CLEAVER

4) DRAGON DATABASE

5) GENECARDS

 
 
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