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A Computational Approach for the Discovery of Protein–RNA Networks

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Post-Transcriptional Gene Regulation

Part of the book series: Methods in Molecular Biology ((MIMB,volume 1358))

Abstract

Protein–RNA interactions play important roles in a wide variety of cellular processes, ranging from transcriptional and posttranscriptional regulation of genes to host defense against pathogens. In this chapter we present the computational approach catRAPID to predict protein–RNA interactions and discuss how it could be used to find trends in ribonucleoprotein networks. We envisage that the combination of computational and experimental approaches will be crucial to unravel the role of coding and noncoding RNAs in protein networks.

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Author information

Authors and Affiliations

  1. Centre for Genomic Regulation (CRG), Dr Aiguader 88, 08003, Barcelona, Spain

    Domenica Marchese, Carmen Maria Livi & Gian Gaetano Tartaglia

  2. Universitat Pompeu Fabra (UPF), 08003, Barcelona, Spain

    Domenica Marchese, Carmen Maria Livi & Gian Gaetano Tartaglia

  3. Institució Catalana de Recerca i Estudis Avançats (ICREA), 23 Passeig de Lluís Companys, 08010, Barcelona, Spain

    Gian Gaetano Tartaglia

Authors
  1. Domenica Marchese
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  2. Carmen Maria Livi
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  3. Gian Gaetano Tartaglia
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Corresponding author

Correspondence to Gian Gaetano Tartaglia .

Editor information

Editors and Affiliations

  1. Laboratory of Translational Genomics, Centre for Integrative Biology, University of Trento, Mattarello, Trento, Italy

    Erik Dassi

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Marchese, D., Livi, C.M., Tartaglia, G.G. (2016). A Computational Approach for the Discovery of Protein–RNA Networks. In: Dassi, E. (eds) Post-Transcriptional Gene Regulation. Methods in Molecular Biology, vol 1358. Humana Press, New York, NY. https://doi.org/10.1007/978-1-4939-3067-8_2

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  • DOI: https://doi.org/10.1007/978-1-4939-3067-8_2

  • Publisher Name: Humana Press, New York, NY

  • Print ISBN: 978-1-4939-3066-1

  • Online ISBN: 978-1-4939-3067-8

  • eBook Packages: Springer Protocols

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