Original Paper

Molecular Biotechnology

, Volume 36, Issue 3, pp 205-219

First online:

Microarray analysis: basic strategies for successful experiments

  • Scott A. NessAffiliated withDepartment of Molecular Genetics & Microbiology, Keck-UNM Genomics Resource and UNM Cancer Research and Treatment Center, MSC08 4660, University of New Mexico HSC Email author 

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Microarrays offer a powerful approach to the analysis of gene expression that can be used for a wide variety of experimental purposes. However, there are several types of microarray platforms that are available. In addition, microarray experiments are expensive and generate complicated data sets that can be difficult to interpret. Success with microarray approaches requires a sound experimental design and a coordinated and appropriate use of statistical tools. Here, the advantages and pitfalls of utilizing microarrays are discussed, as are practical strategies to help novice users succeed with this method that can empower them with the ability to assay changes in gene expression at the whole genome level.


Microarrays Affymetrix GeneChips Genomics Gene expression Transcription Clustering Normalization Data analysis Hybridization