Abstract
High throughput microarray technologies were developed nowadays. By using these new technologies, tremendous amount of gene expression data were accumulated in a short time. These data can help us to analyze the complex relationship of gene interactions. DNA microarray is an orderly arrangement of many oligonucleotides or identified sequenced genes printed on an impermeable solid support, usually glass, silicon chips or high-polymer material [1]. DNA microarray is also called DNA chip, gene chip, or biochip. The biochip is an integration of several technologies, including automated DNA sequencing, DNA amplification by PCR, oligonucleotide synthesis, nucleic acid labeling chemistries and bioinformatics. Microarrays have become standard tools for gene expression measurement in biology and biomedicine [2, 3, 4]. The application ranges from gene expression changes of the cell cycle over the classification of disease to drug design.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
P. Chavan, K. Joshi, and B. Patwardhan, “DNA microarrays in herbal drug research,” Evidence-based Complementary and Alternative Medicine, Vol. 3, No. 4, 2006, pp. 447–457.
P.F. Lemkin, G.C. Thornwall, K.D. Walton et al., “The microarray explorer tool for data mining of cDNA microarrays: application for the mammary gland,” Nucleic Acids Research, Vol. 28, No. 22, 2000, pp. 4452–4459.
J. K. Choi, U. Yu, O. J. Yoo, and S. Kim, “Differential coexpression analysis using microarray data and its application to human cancer,” Bioinformatics, vol. 21, 2005, pp. 4348–4355.
J. A. Warrington, R. Todd, and D. Wong, Microarrays and Cancer Research. Eaton Publishing Company, 2002.
Kyoto Encyclopedia of Genes and Genomes (KEGG), 2010, Available from: <http://www.genome.ad.jp/kegg>.
Acknowledgments
This work was supported in part from the National Science Council, Taiwan (Project No. 95-2745-E-468-001-URD, Project No. 95-2745-E-468-003-URD, and Project No. NSC 99-2221-E-024-010]. We also thank SMD (Stanford MicroArray Database) and KEGG (Kyoto Encyclopedia of Genes and Genomes) for their valuable databases.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2011 Springer Science+Business Media, LLC
About this paper
Cite this paper
Ou, JW., Chen, RM., Hu, RM., Hsu, CY., Tsai, J.J. (2011). A SYSTEMATIC GENE EXPRESSION EXPLORER TOOL FOR MULTIPLE AND PAIRED CHIPS. In: Suh, S., Gurupur, V., Tanik, M. (eds) Biomedical Engineering. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-0116-2_11
Download citation
DOI: https://doi.org/10.1007/978-1-4614-0116-2_11
Published:
Publisher Name: Springer, New York, NY
Print ISBN: 978-1-4614-0115-5
Online ISBN: 978-1-4614-0116-2
eBook Packages: Computer ScienceComputer Science (R0)