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Next Generation Microarray Bioinformatics pp 113–121Cite as

Analysis of Isoform Expression from Splicing Array Using Multiple Comparisons

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Part of the book series: Methods in Molecular Biology ((MIMB,volume 802))

Abstract

There is a high prevalence of alternatively spliced genes (isoforms) in the human genome. Studies toward understanding aberrantly spliced genes and their association with diseases have lead researchers to profile the expression of alternatively spliced products. High-throughput profiling of isoforms has been done using microarray technology. Expression of isoforms reflects regulation both at transcriptional and posttranscriptional levels. This chapter details the methods to perform exhaustive comparison of isoforms using the R statistical framework.

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Acknowledgement

TMN would like to thank IUSB for research funding.

Author information

Authors and Affiliations

  1. Departments of Biological Sciences, Computer Science/Informatics, Indiana University South Bend, Bloomington, IN, USA

    T. Murlidharan Nair

Authors
  1. T. Murlidharan Nair
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Corresponding author

Correspondence to T. Murlidharan Nair .

Editor information

Editors and Affiliations

  1. Norwegian Radium Hospital, Oslo University Hospital, Montebello, Oslo, 0310, Norway

    Junbai Wang

  2. School of Medicine, University of Colorado Denver, E. 17th Avenue 12801, Aurora, 80010, Colorado, USA

    Aik Choon Tan

  3. School of Mathematics and Statistics, University of Glasgow, Glasgow, 3800, United Kingdom

    Tianhai Tian

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© 2012 Springer Science+Business Media, LLC

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Nair, T.M. (2012). Analysis of Isoform Expression from Splicing Array Using Multiple Comparisons. In: Wang, J., Tan, A., Tian, T. (eds) Next Generation Microarray Bioinformatics. Methods in Molecular Biology, vol 802. Humana Press. https://doi.org/10.1007/978-1-61779-400-1_8

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  • DOI: https://doi.org/10.1007/978-1-61779-400-1_8

  • Published:

  • Publisher Name: Humana Press

  • Print ISBN: 978-1-61779-399-8

  • Online ISBN: 978-1-61779-400-1

  • eBook Packages: Springer Protocols

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