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Network Inference from Time-Dependent Omics Data

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Bioinformatics for Omics Data

Part of the book series: Methods in Molecular Biology ((MIMB,volume 719))

Abstract

We provide a commented overview of the available databases for the systematic collection of pathway information and biological models essential for the interpretation of Omics data. Then, we present both the state of the art and the future challenges of network inference, a research area dealing with the deduction of reaction mechanisms from experimental Omics data. This approach represents one of the most challenging instances for making use of the huge amount of information gathered in the Omics era.

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Authors and Affiliations

  1. The Microsoft Research – University of Trento Centre for Computational and Systems Biology, Povo, Trento, Italy

    Paola Lecca, Thanh-Phuong Nguyen, Corrado Priami & Paola Quaglia

Authors
  1. Paola Lecca
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  2. Thanh-Phuong Nguyen
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  3. Corrado Priami
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  4. Paola Quaglia
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Corresponding author

Correspondence to Paola Lecca .

Editor information

Editors and Affiliations

  1. emergentec biodevelopment GmbH, Gersthofer Strasse 29-31, Vienna, 1180, Austria

    Bernd Mayer

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Lecca, P., Nguyen, TP., Priami, C., Quaglia, P. (2011). Network Inference from Time-Dependent Omics Data. In: Mayer, B. (eds) Bioinformatics for Omics Data. Methods in Molecular Biology, vol 719. Humana Press. https://doi.org/10.1007/978-1-61779-027-0_20

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  • DOI: https://doi.org/10.1007/978-1-61779-027-0_20

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  • Publisher Name: Humana Press

  • Print ISBN: 978-1-61779-026-3

  • Online ISBN: 978-1-61779-027-0

  • eBook Packages: Springer Protocols

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