Analysis of Microarray Experiments for Pulmonary Fibrosis
Microarray technology allows the investigator to examine the simultaneous expression of thousands of genes in a given cell or tissue. Such experiments that probe tens of thousands of genes produce immense amounts of information. In recent years, there has been a steady increase in the availability of tools for analysis of microarray data. Although many commercial tools are being aggressively marketed, we mostly use shareware tools. In this chapter, we present our approach to the analysis of microarray data mainly using tools that were generated by our collaborators or that are freely available. Step-by-step explanations of software operation are provided.
Key WordsMicroarrays gene expression multiple sampling bioinformatics clustering Scoregene GeneXpress GenMapp functional analysis
- 11.Patel, S., Bhattacharya, S., and Lyons-Weiler, J. (2003) GEDA: a web application for the integrated analysis of global gene expression patterns in cancer. Applied Bioinformatics, in press.Google Scholar
- 12.Pasteur, L. (1854) Lecture, University of Lille, December 7.Google Scholar