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Interpreting the Omics ‘era’ Data

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Multimedia Services in Intelligent Environments

Part of the book series: Smart Innovation, Systems and Technologies ((SIST,volume 25))

Abstract

The analysis and the interpretation of the complex and dynamic biological systems has become a major bottleneck nowadays. The latest high-throughput “omics” approaches, such as genomics, proteomics and transcriptomics and the available data repositories hosting information concerning bioentities and their properties grow exponentially in size over time. Therefore, to better understand biological systems as a whole and at a higher level, visualization is a necessity as clear and meaningful views and intuitive layouts can give a better insight into coping with data complexity. The implementation of tools to maximize user friendliness, portability and provide intuitive views is a difficult task and still remains a hurdle to overcome. In this chapter, we present a variety of significant visualization tools as they specialize in different topics covering different areas of the broad biological spectrum varying from visualization of molecular structures to phylogenies, pathways, gene expression, networks, and next generation sequencing. We emphasize their functionality, the latest research findings, and insights into how these tools could be further developed both in terms of visualization but also in the direction of data integration and information sharing.

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Acknowledgments

We would like to acknowledge Dr. Theodoros Soldatos, Dr. Charalampos Moschopoulos and Mgr. Izabella Januszewska for their valuable input. This work was supported by the Greek State Scholarship Foundation (I.K.Y—http://www.iky.gr/IKY/portal/en).

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Authors and Affiliations

  1. ESAT-SCD/iMinds-KU.Leuven Future Health Department Katholieke, Universiteit Leuven, Kasteelpark Arenberg 10, box 2446, 3001, Leuven, Belgium

    Georgios A. Pavlopoulos & Ernesto Iacucci

  2. Division of Basic Sciences, University of Crete Medical School, 71110, Heraklion, Greece

    Ioannis Iliopoulos

  3. Department of Computer Science and Biomedical Informatics, University of Central Greece, 35100, Lamia, Greece

    Pantelis Bagos

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  1. Georgios A. Pavlopoulos
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  2. Ernesto Iacucci
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  3. Ioannis Iliopoulos
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  4. Pantelis Bagos
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Corresponding author

Correspondence to Georgios A. Pavlopoulos .

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Editors and Affiliations

  1. , Department of Informatics, University of Piraeus, Karaoli&Dimitriou St. 80, Piraeus, 18534, Greece

    George A. Tsihrintzis

  2. , Department of Informatics, University of Piraeus, Karaoli&Dimitriou St. 80, Piraeus, 18534, Greece

    Maria Virvou

  3. University of South Australia, Mawson Lakes, Adelaide, 5095, South Australia, Australia

    Lakhmi C. Jain

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© 2013 Springer International Publishing Switzerland

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Pavlopoulos, G.A., Iacucci, E., Iliopoulos, I., Bagos, P. (2013). Interpreting the Omics ‘era’ Data. In: Tsihrintzis, G., Virvou, M., Jain, L. (eds) Multimedia Services in Intelligent Environments. Smart Innovation, Systems and Technologies, vol 25. Springer, Heidelberg. https://doi.org/10.1007/978-3-319-00375-7_6

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  • DOI: https://doi.org/10.1007/978-3-319-00375-7_6

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  • Online ISBN: 978-3-319-00375-7

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