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Prediction and Statistical Analysis of Alternatively Spliced Exons

  • Chapter
Regulation of Alternative Splicing

Part of the book series: Progress in Molecular and Subcellular Biology ((PMSB,volume 31))

Abstract

The completion of large genomic sequencing projects revealed that metazoan organisms abundantly use alternative splicing. Alternatively spliced exons can be found in these sequences by sequence comparison of genomic, mRNA and EST sequences. Furthermore, a large number of alternative exons have been described in the literature. Here, we review computer and manually curated databases of alternative exons and discuss the various approaches used to generate them. Sequence analysis shows that alternative exons often have unusual lengths, suboptimal splice sites and characteristic nucleotide patterns. Despite this progress alternative exons cannot be predicted ab initio from genomic data, which is due to the degenerate nature of splicing signals.

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Authors and Affiliations

  1. Wellcome Trust Genome Campus, European Bioinformatics Institute, Hinxton, Cambridge, CB10 1SD, UK

    T. A. Thanaraj

  2. Institute for Biochemistry, University Erlangen-Nürnberg, Fahrstrasse 17, 91054, Erlangen, Germany

    S. Stamm

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  1. T. A. Thanaraj
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  1. Institute of Molecular Genetics of Montpellier, CNRS, 1919 Route de Mende, BP 5051, 34293, Montpellier Cedex 05, France

    Philippe Jeanteur

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Thanaraj, T.A., Stamm, S. (2003). Prediction and Statistical Analysis of Alternatively Spliced Exons. In: Jeanteur, P. (eds) Regulation of Alternative Splicing. Progress in Molecular and Subcellular Biology, vol 31. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-09728-1_1

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  • DOI: https://doi.org/10.1007/978-3-662-09728-1_1

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