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Microarray Bioinformatics

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Biological Microarrays

Part of the book series: Methods in Molecular Biology ((MIMB,volume 671))

Abstract

Bioinformatics has become an increasingly important tool for molecular biologists, especially for the analysis of microarray data. Microarrays can produce vast amounts of information requiring a series of consecutive analyses to render the data interpretable. The direct output of microarrays cannot be directly interpreted to show differences in settings, conditions of samples, or time points. To make microarray experiments interpretable, it is necessary that a series of algorithms and approaches be applied. After normalization of generated data, which is necessary to make a comparison feasible, significance analysis, clustering of samples and biological compounds of interest and visualization are generally performed. This chapter will focus on providing a basic understanding of the generally approaches and algorithms currently employed in microarray bioinformatics.

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Acknowledgments

This work was supported by the Deutsche Forschungsgemeinschaft SFB 571 C2, FP6 EU grant INNOCHEM to PJN and BMBF BioChance to PJN.

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Authors and Affiliations

  1. Medical Policlinic, Ludwig Maximillians, University of Munich, Munich, Germany

    Robert P. Loewe & Peter J. Nelson

Authors
  1. Robert P. Loewe
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  2. Peter J. Nelson
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Corresponding author

Correspondence to Peter J. Nelson .

Editor information

Editors and Affiliations

  1. , MIT Division of Health Sciences and Tech, Harvard Medical School, Landsdowne St. 65, Cambridge, 02139, Massachusetts, USA

    Ali Khademhosseini

  2. , Department of Mechanical and Aerospace E, Seoul National University, Kwanak-gu, Shinlim-dong 56-1-1, Seoul, 151-742, Korea, Republic of (South Korea)

    Kahp-Yang Suh

  3. Biophage Pharma, Inc., Royalmount Ave. 6100, Montreal, H4P 2R2, Québec, Canada

    Mohammed Zourob

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Loewe, R.P., Nelson, P.J. (2011). Microarray Bioinformatics. In: Khademhosseini, A., Suh, KY., Zourob, M. (eds) Biological Microarrays. Methods in Molecular Biology, vol 671. Humana Press, Totowa, NJ. https://doi.org/10.1007/978-1-59745-551-0_18

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  • DOI: https://doi.org/10.1007/978-1-59745-551-0_18

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  • Publisher Name: Humana Press, Totowa, NJ

  • Print ISBN: 978-1-934115-95-4

  • Online ISBN: 978-1-59745-551-0

  • eBook Packages: Springer Protocols

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