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Algorithms and Methods for Correlating Experimental Results with Annotation Databases

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Bioinformatics Methods in Clinical Research

Part of the book series: Methods in Molecular Biology ((MIMB,volume 593))

Abstract

An important procedure in biomedical research is the detection of genes that are differentially expressed under pathologic conditions. These genes, or at least a subset of them, are key biomarkers and are thought to be important to describe and understand the analyzed biological system (the pathology) at a molecular level. To obtain this understanding, it is indispensable to link those genes to biological knowledge stored in databases. Ontological analysis is nowadays a standard procedure to analyze large gene lists. By detecting enriched and depleted gene properties and functions, important insights on the biological system can be obtained. In this chapter, we will give a brief survey of the general layout of the methods used in an ontological analysis and of the most important tools that have been developed.

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Author information

Authors and Affiliations

  1. Bioinformatics, Parque Technológico de Bizkaia, Derio, Bizkaia, Spain

    Michael Hackenberg

  2. Instituto de Patologia e Imunologia Molecular da Universidad do Porto – IPATIMUP, Porto, Portugal

    Rune Matthiesen

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  1. Michael Hackenberg
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  2. Rune Matthiesen
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Editors and Affiliations

  1. Inst. Patologia e Imunologia Molecular, Universidade do Porto, Rua Dr. Roberto Frias s/n, Porto, 4200-465, Portugal

    Rune Matthiesen

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Hackenberg, M., Matthiesen, R. (2010). Algorithms and Methods for Correlating Experimental Results with Annotation Databases. In: Matthiesen, R. (eds) Bioinformatics Methods in Clinical Research. Methods in Molecular Biology, vol 593. Humana Press. https://doi.org/10.1007/978-1-60327-194-3_15

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  • DOI: https://doi.org/10.1007/978-1-60327-194-3_15

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  • Publisher Name: Humana Press

  • Print ISBN: 978-1-60327-193-6

  • Online ISBN: 978-1-60327-194-3

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