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Computational Analysis Workflows for Omics Data Interpretation

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Bioinformatics for Omics Data

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

Abstract

Progress in experimental procedures has led to rapid availability of Omics profiles. Various open-access as well as commercial tools have been developed for storage, analysis, and interpretation of transcriptomics, proteomics, and metabolomics data. Generally, major analysis steps include data storage, retrieval, preprocessing, and normalization, followed by identification of differentially expressed features, functional annotation on the level of biological processes and molecular pathways, as well as interpretation of gene lists in the context of protein–protein interaction networks. In this chapter, we discuss a sequential transcriptomics data analysis workflow utilizing open-source tools, specifically exemplified on a gene expression dataset on familial hypercholesterolemia.

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Authors and Affiliations

  1. emergentec biodevelopment GmbH, Vienna, Austria

    Irmgard Mühlberger, Andreas Bernthaler, Raul Fechete, Arno Lukas & Paul Perco

  2. Medical University of Vienna and KH Elisabethinen Linz, Vienna, Austria

    Julia Wilflingseder

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  1. Irmgard Mühlberger
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  2. Julia Wilflingseder
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  3. Andreas Bernthaler
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  4. Raul Fechete
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  5. Arno Lukas
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Correspondence to Paul Perco .

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Editors and Affiliations

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

    Bernd Mayer

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Mühlberger, I., Wilflingseder, J., Bernthaler, A., Fechete, R., Lukas, A., Perco, P. (2011). Computational Analysis Workflows for Omics Data Interpretation. 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_17

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  • DOI: https://doi.org/10.1007/978-1-61779-027-0_17

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